array:23 [
  "pii" => "S2173572721000254"
  "issn" => "21735727"
  "doi" => "10.1016/j.medine.2019.08.003"
  "estado" => "S300"
  "fechaPublicacion" => "2021-04-01"
  "aid" => "1387"
  "copyright" => "The Author(s)"
  "copyrightAnyo" => "2019"
  "documento" => "article"
  "crossmark" => 1
  "subdocumento" => "fla"
  "cita" => "Med Intensiva. 2021;45:147-55"
  "abierto" => array:3 [
    "ES" => true
    "ES2" => true
    "LATM" => true
  ]
  "gratuito" => true
  "lecturas" => array:1 [
    "total" => 0
  ]
  "itemSiguiente" => array:19 [
    "pii" => "S2173572721000023"
    "issn" => "21735727"
    "doi" => "10.1016/j.medine.2021.01.002"
    "estado" => "S300"
    "fechaPublicacion" => "2021-04-01"
    "aid" => "1407"
    "copyright" => "Elsevier España, S.L.U. and SEMICYUC"
    "documento" => "article"
    "crossmark" => 1
    "subdocumento" => "fla"
    "cita" => "Med Intensiva. 2021;45:156-63"
    "abierto" => array:3 [
      "ES" => true
      "ES2" => true
      "LATM" => true
    ]
    "gratuito" => true
    "lecturas" => array:1 [
      "total" => 0
    ]
    "en" => array:13 [
      "idiomaDefecto" => true
      "cabecera" => "<span class="elsevierStyleTextfn">Original</span>"
      "titulo" => "Comparison of four prognostic scales for predicting mortality in patients with severe maternal morbidity"
      "tienePdf" => "en"
      "tieneTextoCompleto" => "en"
      "tieneResumen" => array:2 [
        0 => "en"
        1 => "es"
      ]
      "paginas" => array:1 [
        0 => array:2 [
          "paginaInicial" => "156"
          "paginaFinal" => "163"
        ]
      ]
      "titulosAlternativos" => array:1 [
        "es" => array:1 [
          "titulo" => "Comparaci&#243;n de 4 escalas pron&#243;sticas para predecir mortalidad en pacientes con morbilidad materna severa"
        ]
      ]
      "contieneResumen" => array:2 [
        "en" => true
        "es" => true
      ]
      "contieneTextoCompleto" => array:1 [
        "en" => true
      ]
      "contienePdf" => array:1 [
        "en" => true
      ]
      "resumenGrafico" => array:2 [
        "original" => 0
        "multimedia" => array:8 [
          "identificador" => "fig0010"
          "etiqueta" => "Fig&#46; 2"
          "tipo" => "MULTIMEDIAFIGURA"
          "mostrarFloat" => true
          "mostrarDisplay" => false
          "figura" => array:1 [
            0 => array:4 [
              "imagen" => "gr2.jpeg"
              "Alto" => 1801
              "Ancho" => 2173
              "Tamanyo" => 194034
            ]
          ]
          "detalles" => array:1 [
            0 => array:3 [
              "identificador" => "at0035"
              "detalle" => "Fig&#46; "
              "rol" => "short"
            ]
          ]
          "descripcion" => array:1 [
            "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Calibration chart of the APACHE II-M&#44; O-SOFA&#44; APACHE&#44; and SOFA predictive models in a cohort of 141 patients with severe maternal morbidity&#58; observed mortality &#40;axis Y&#41; vs estimated mortality &#40;axis X&#41;&#46; APACHE II&#44; Acute Physiology and Chronic Health Evaluation II&#59; APACHE II-M&#44; modified version of the Acute Physiology and Chronic Health Evaluation II for obstetric patients&#59; O-SOFA&#44; modified version of the Sequential Organ Failure Assessment Score for obstetric patients&#59; SOFA&#44; Sequential Organ Failure Assessment Score&#46;</p>"
          ]
        ]
      ]
      "autores" => array:1 [
        0 => array:2 [
          "autoresLista" => "B&#46; Jonguitud L&#243;pez, D&#46; &#193;lvarez Lara, M&#46;A&#46; Sosa Medell&#237;n, F&#46; Montoya Barajas, G&#46;C&#46; Palacios Saucedo"
          "autores" => array:5 [
            0 => array:2 [
              "nombre" => "B&#46;"
              "apellidos" => "Jonguitud L&#243;pez"
            ]
            1 => array:2 [
              "nombre" => "D&#46;"
              "apellidos" => "&#193;lvarez Lara"
            ]
            2 => array:2 [
              "nombre" => "M&#46;A&#46;"
              "apellidos" => "Sosa Medell&#237;n"
            ]
            3 => array:2 [
              "nombre" => "F&#46;"
              "apellidos" => "Montoya Barajas"
            ]
            4 => array:2 [
              "nombre" => "G&#46;C&#46;"
              "apellidos" => "Palacios Saucedo"
            ]
          ]
        ]
      ]
    ]
    "idiomaDefecto" => "en"
    "Traduccion" => array:1 [
      "es" => array:9 [
        "pii" => "S0210569119302438"
        "doi" => "10.1016/j.medin.2019.09.021"
        "estado" => "S300"
        "subdocumento" => ""
        "abierto" => array:3 [
          "ES" => true
          "ES2" => true
          "LATM" => true
        ]
        "gratuito" => true
        "lecturas" => array:1 [
          "total" => 0
        ]
        "idiomaDefecto" => "es"
        "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210569119302438?idApp=WMIE"
      ]
    ]
    "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572721000023?idApp=WMIE"
    "url" => "/21735727/0000004500000003/v1_202103261003/S2173572721000023/v1_202103261003/en/main.assets"
  ]
  "itemAnterior" => array:18 [
    "pii" => "S2173572721000266"
    "issn" => "21735727"
    "doi" => "10.1016/j.medine.2019.09.008"
    "estado" => "S300"
    "fechaPublicacion" => "2021-04-01"
    "aid" => "1388"
    "copyright" => "Elsevier Espa&#241;a&#44; S&#46;L&#46;U&#46; and SEMICYUC"
    "documento" => "article"
    "crossmark" => 1
    "subdocumento" => "fla"
    "cita" => "Med Intensiva. 2021;45:138-46"
    "abierto" => array:3 [
      "ES" => true
      "ES2" => true
      "LATM" => true
    ]
    "gratuito" => true
    "lecturas" => array:1 [
      "total" => 0
    ]
    "en" => array:13 [
      "idiomaDefecto" => true
      "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>"
      "titulo" => "Identifying and managing patient&#8211;ventilator asynchrony&#58; An international survey"
      "tienePdf" => "en"
      "tieneTextoCompleto" => "en"
      "tieneResumen" => array:2 [
        0 => "en"
        1 => "es"
      ]
      "paginas" => array:1 [
        0 => array:2 [
          "paginaInicial" => "138"
          "paginaFinal" => "146"
        ]
      ]
      "titulosAlternativos" => array:1 [
        "es" => array:1 [
          "titulo" => "Identificaci&#243;n y manejo de la asincron&#237;a paciente-ventilador&#58; encuesta internacional"
        ]
      ]
      "contieneResumen" => array:2 [
        "en" => true
        "es" => true
      ]
      "contieneTextoCompleto" => array:1 [
        "en" => true
      ]
      "contienePdf" => array:1 [
        "en" => true
      ]
      "resumenGrafico" => array:2 [
        "original" => 0
        "multimedia" => array:7 [
          "identificador" => "fig0010"
          "etiqueta" => "Figure 2"
          "tipo" => "MULTIMEDIAFIGURA"
          "mostrarFloat" => true
          "mostrarDisplay" => false
          "figura" => array:1 [
            0 => array:4 [
              "imagen" => "gr2.jpeg"
              "Alto" => 1191
              "Ancho" => 1672
              "Tamanyo" => 88654
            ]
          ]
          "descripcion" => array:1 [
            "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Graph from multivariate logistic regression model analysis for&#44; proper&#44; recognition of 6 PVA&#46;</p>"
          ]
        ]
      ]
      "autores" => array:1 [
        0 => array:2 [
          "autoresLista" => "I&#46;I&#46; Ram&#237;rez, R&#46;S&#46; Adasme, D&#46;H&#46; Arellano, A&#46;R&#46;M&#46; Rocha, F&#46;M&#46;D&#46; Andrade, J&#46; N&#250;&#241;ez-Silveira, N&#46;A&#46; Montecinos, S&#46; Dias, L&#46;F&#46; Damiani, R&#46; Gutierrez-Arias, B&#46; Lobo-Valbuena, F&#46; Gordo-Vidal"
          "autores" => array:12 [
            0 => array:2 [
              "nombre" => "I&#46;I&#46;"
              "apellidos" => "Ram&#237;rez"
            ]
            1 => array:2 [
              "nombre" => "R&#46;S&#46;"
              "apellidos" => "Adasme"
            ]
            2 => array:2 [
              "nombre" => "D&#46;H&#46;"
              "apellidos" => "Arellano"
            ]
            3 => array:2 [
              "nombre" => "A&#46;R&#46;M&#46;"
              "apellidos" => "Rocha"
            ]
            4 => array:2 [
              "nombre" => "F&#46;M&#46;D&#46;"
              "apellidos" => "Andrade"
            ]
            5 => array:2 [
              "nombre" => "J&#46;"
              "apellidos" => "N&#250;&#241;ez-Silveira"
            ]
            6 => array:2 [
              "nombre" => "N&#46;A&#46;"
              "apellidos" => "Montecinos"
            ]
            7 => array:2 [
              "nombre" => "S&#46;"
              "apellidos" => "Dias"
            ]
            8 => array:2 [
              "nombre" => "L&#46;F&#46;"
              "apellidos" => "Damiani"
            ]
            9 => array:2 [
              "nombre" => "R&#46;"
              "apellidos" => "Gutierrez-Arias"
            ]
            10 => array:2 [
              "nombre" => "B&#46;"
              "apellidos" => "Lobo-Valbuena"
            ]
            11 => array:2 [
              "nombre" => "F&#46;"
              "apellidos" => "Gordo-Vidal"
            ]
          ]
        ]
      ]
    ]
    "idiomaDefecto" => "en"
    "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572721000266?idApp=WMIE"
    "url" => "/21735727/0000004500000003/v1_202103261003/S2173572721000266/v1_202103261003/en/main.assets"
  ]
  "en" => array:20 [
    "idiomaDefecto" => true
    "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>"
    "titulo" => "Proposal of a prediction score for hematoma expansion after intracerebral hemorrhage"
    "tieneTextoCompleto" => true
    "paginas" => array:1 [
      0 => array:2 [
        "paginaInicial" => "147"
        "paginaFinal" => "155"
      ]
    ]
    "autores" => array:1 [
      0 => array:4 [
        "autoresLista" => "X&#46;Y&#46; Kong, W&#46; Qian, J&#46; Dong, Z&#46;Y&#46; Qian"
        "autores" => array:4 [
          0 => array:3 [
            "nombre" => "X&#46;Y&#46;"
            "apellidos" => "Kong"
            "referencia" => array:1 [
              0 => array:2 [
                "etiqueta" => "<span class="elsevierStyleSup">a</span>"
                "identificador" => "aff0010"
              ]
            ]
          ]
          1 => array:3 [
            "nombre" => "W&#46;"
            "apellidos" => "Qian"
            "referencia" => array:1 [
              0 => array:2 [
                "etiqueta" => "<span class="elsevierStyleSup">b</span>"
                "identificador" => "aff0005"
              ]
            ]
          ]
          2 => array:3 [
            "nombre" => "J&#46;"
            "apellidos" => "Dong"
            "referencia" => array:1 [
              0 => array:2 [
                "etiqueta" => "<span class="elsevierStyleSup">b</span>"
                "identificador" => "aff0005"
              ]
            ]
          ]
          3 => array:4 [
            "nombre" => "Z&#46;Y&#46;"
            "apellidos" => "Qian"
            "email" => array:1 [
              0 => "1243847947@qq.com"
            ]
            "referencia" => array:2 [
              0 => array:2 [
                "etiqueta" => "<span class="elsevierStyleSup">b</span>"
                "identificador" => "aff0005"
              ]
              1 => array:2 [
                "etiqueta" => "<span class="elsevierStyleSup">&#42;</span>"
                "identificador" => "cor0005"
              ]
            ]
          ]
        ]
        "afiliaciones" => array:2 [
          0 => array:3 [
            "entidad" => "Department of Neurosurgery&#44; The First People&#39;s Hospital of Huzhou&#44; the First Affiliated Hospital of Huzhou Teachers College&#44; Huzhou&#44; Zhejiang Province&#44; China"
            "etiqueta" => "a"
            "identificador" => "aff0010"
          ]
          1 => array:3 [
            "entidad" => "Department of Neurosurgery&#44; The Second Affiliated Hospital of Soochow University&#44; Suzhou&#44; China"
            "etiqueta" => "b"
            "identificador" => "aff0005"
          ]
        ]
        "correspondencia" => array:1 [
          0 => array:3 [
            "identificador" => "cor0005"
            "etiqueta" => "&#8270;"
            "correspondencia" => "Corresponding author&#46;"
          ]
        ]
      ]
    ]
    "titulosAlternativos" => array:1 [
      "es" => array:1 [
        "titulo" => "Propuesta de una puntuaci&#243;n de predicci&#243;n de la expansi&#243;n del hematoma tras una hemorragia cerebral"
      ]
    ]
    "resumenGrafico" => array:2 [
      "original" => 0
      "multimedia" => array:7 [
        "identificador" => "fig0010"
        "etiqueta" => "Figure 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 840
            "Ancho" => 2508
            "Tamanyo" => 196721
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Illustration of the particular radiological signs in NCCT&#46; A&#46; Island sign&#59; B&#46; black hole sign&#59; C&#46; blend sign&#59; D&#46; niveau formation&#59; E&#46; edema&#46;</p>"
        ]
      ]
    ]
    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">It is well known that intracerebral hemorrhage &#40;ICH&#41; is the second most common type of stroke&#44; accounting for 10&#8211;15&#37; of all stroke events&#46;<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">1</span></a> The fatality rate is relatively high&#44; only 12&#8211;39&#37; survivors could live independently&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">2</span></a> Early hematoma expansion &#40;HE&#41; occurs in 20&#8211;30&#37; of ICH patients&#44;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">3</span></a> accompanied by re-bleeding occasionally&#46; Through the CT scanning and three-dimensional reconstruction analysis of the enlarged hematoma&#44; Liotta<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">4</span></a> found that HE was caused by the irregular expansion along the surface of the original hematoma&#44; mainly within 24<span class="elsevierStyleHsp" style=""></span>h after the onset&#46; HE is an independent risk factor for disability and death in patients of ICH&#44; so timely assessment and prevention of HE becomes the focus of current research&#46; But treatments toward HE still exist some disputes and have not been standardized&#44; including intensive blood pressure control&#44; transamin&#44;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">4</span></a> rectify the blood coagulation dysfunction&#44; neurological intensive care unit and minimally invasive surgery&#46; Saving lives&#44; utmost retaining or even restoring neurological function are the fundamental purposes of treatments&#46; Therefore&#44; it is of great value to use simple predictors to screen out the high-risk patients who may have HE and make targeted treatments to curb the early deterioration of ICH&#46; The objective of the study was exploring the risk factors of HE&#44; proposing a prediction score and making a preliminary validation&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Patients and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Study population</span><p id="par0010" class="elsevierStylePara elsevierViewall">We performed the research in two branches of the Second Affiliated Hospital of Soochow University&#46; Patients admitted to the Sanxiang Road branch from January 2016 to May 2018 were consecutively registered as development cohort&#46; Then we included patients in the Xuguan branch during the same time as validation cohort&#46; The two branches are both academic medical center while the former is senior to the latter &#40;number of beds&#58; 1300 vs&#46; 700&#41;&#46; Inclusion criteria&#58; 1&#46; The first CT scan was acquired within 24<span class="elsevierStyleHsp" style=""></span>h after the onset and the diagnosis was spontaneous ICH&#59; 2&#46; Age<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>18&#46; Exclusion criteria&#58; 1&#46; Secondary ICH &#40;cerebral tumor&#44; traumatic brain injury&#44; arteriovenous malformation&#44; cerebral aneurysm&#44; hemorrhagic transformation of cerebral infarction&#41;&#59; 2&#46; Emergency surgery was performed before the second CT scan&#59; 3&#46; CT was not re-examined within 72<span class="elsevierStyleHsp" style=""></span>h after the first scan&#46; In brief&#44; cohorts&#8217; selection flowchart is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#46; The study was approved by the ethical committee of the Second Affiliated Hospital of Soochow University &#40;JD-LK-2018-067-01&#41;&#46; All study protocols and procedures were conducted in accordance with the declaration of Helsinki&#46; Because this study was a retrospective observational study&#44; patients&#8217; information was anonymized and deidentified before analysis&#46; Therefore&#44; the need for patients&#8217; consent was waived&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Research design</span><p id="par0015" class="elsevierStylePara elsevierViewall">Retrospective study was conducted to record the clinical data of patients by referring to electronic medical records and the subjects were divided into HE group and non-HE group&#46; The score was proposed from development cohort and verified in the validation cohort afterwards&#46; HE was defined as an increase of hematoma volume &#62;33&#37; or absolute hematoma growth &#62;6<span class="elsevierStyleHsp" style=""></span>ml from initial scan&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">2&#44;4&#44;5</span></a> Specific non-contrast CT&#40;NCCT&#41; signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; edema&#44; niveau formation&#41; were identified and recorded referring to previous study&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">5</span></a> There were some photos of NCCT to illustrate the particular radiological signs in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#46; The two observers &#40;neuroradiologist and neurologist&#41; were blind to the information and outcome of patients&#44; independently evaluated the images&#46; Disagreements were decided by consensus decision&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Statistical analyses</span><p id="par0020" class="elsevierStylePara elsevierViewall">Statistical analyses were performed using SPSS 25&#46;0&#44; Stata 15&#44; and Rstudio&#46; Medians and interquartile ranges &#40;IQRs&#41; or the mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation &#40;SD&#41; was used to describe continuous variables&#44; and percentage &#40;&#37;&#41; was used to describe categorical variables&#46; Statistical significance was assessed by <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span> test for categorical variables and Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test for continuous variables&#46; To propose the score&#44; continuous variables had to convert into categorical variables by cut-off values&#44; which were obtained by quartile&#44; Youden index of receiver operating characteristic &#40;ROC&#41; curve and recursive partitioning as appropriate&#46; To avoid collinearity&#44; partial repeated variables were professionally removed&#46; Categorical variables with <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 between groups were included in the multivariate logistic regression&#46; As a result&#44; risk factors with <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 in regression were added into score&#46; The assigned scores for each item were derived by parameter estimates &#40;<span class="elsevierStyleItalic">&#946;</span> coefficients&#41; from the regression and increased proportionately to the nearest integer by and large&#46; Novel measures of score performance were utilized both in the development cohort and the validation cohort&#44; including the area under ROC curve for discrimination&#44; Hosmer&#8211;Lemeshow goodness-of-fit statistic and calibration plot for accuracy&#44; and decision curve analysis &#40;DCA&#41; for clinical utility&#46; A two-tailed <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered statistically significant&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Results</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Baseline characteristics of patients</span><p id="par0025" class="elsevierStylePara elsevierViewall">Baseline characteristics of participants in the development cohort are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; HE was observed in 87 patients &#40;27&#46;4&#37;&#41; in the development cohort compared with 26 patients &#40;23&#46;9&#37;&#41; in the validation cohort&#46; History of anticoagulants&#44; D-Dimer<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>0&#46;65<span class="elsevierStyleHsp" style=""></span>mg&#47;l&#44; potassium<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>3&#46;1<span class="elsevierStyleHsp" style=""></span>mmol&#47;l&#44; hematoma growth &#40;HG&#41;<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&#44; Glasgow Coma Scale &#40;GCS&#41;<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&#44; and NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&#44; were risk factors of HE &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; Then the above factors were included in multivariate logistic regression and the detailed results were shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; Finally&#44; it was concluded that the history of anticoagulants&#44; HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&#44; GCS<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&#44; and NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&#44; were independent risk factors of HE &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Proposal of prediction score and preliminary validation</span><p id="par0030" class="elsevierStylePara elsevierViewall">The independent risk factors were included in the model&#44; and score was created based on the parameter estimates &#40;<span class="elsevierStyleItalic">&#946;</span> coefficients&#41;&#44; as shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; Further&#44; the area under ROC curve was 0&#46;854&#44; 95&#37; CI &#40;0&#46;803&#8211;0&#46;904&#41;&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#44; in the development cohort compared with 0&#46;893&#44; 95&#37; CI &#40;0&#46;816&#8211;0&#46;970&#41;&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#44; in the validation cohort&#46; Calibration plot is shown in <a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#44; the maximum deviation &#40;<span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf">max</span>&#41;&#44; average deviation &#40;<span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf">avg</span>&#41; and <span class="elsevierStyleItalic">P</span> value of the score were 0&#46;070&#44; 0&#46;028&#44;0&#46;773 in the development cohort&#44; 0&#46;114&#44;0&#46;056&#44;0&#46;156 in the validation cohort&#44; respectively&#46; Hosmer&#8211;Lemeshow goodness-of-fit test presented <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;826&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;662 in the development cohort compared with <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#46;106&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;107 in the validation cohort&#46; In <a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#44; DCA curves of score from two samples were both far from curve of treat all and curve of treat none&#44; with a wide range of optional threshold probability and a high net benefit&#46; In general&#44; the incidence of HE increased with higher scores&#46; When 4&#46;5 was chosen as the cutoff value to dichotomize the score&#44; the rate of HE in high risk group &#40;score<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>4&#46;5&#41; was 66&#46;3&#37; from development cohort compared with 60&#46;0&#37; from validation cohort&#44; more details were demonstrated in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="fig0020"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Discussion</span><p id="par0035" class="elsevierStylePara elsevierViewall">We proposed and validated a novel HE score using two large spontaneous ICH cohorts&#46; The score included 4 items&#58; the history of anticoagulants&#44; HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&#44; GCS<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&#44; and NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&#44; with a total score ranging from 0 to 11&#46; In previous study&#44;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">5&#8211;11</span></a> most of the evaluation methods were comparatively simple&#46; Wielding DCA to assess the clinical utility were rare&#44; which lead to the overlook of harm caused by false negative&#46; In contrast&#44; our study was the first to systematically evaluate the score in multiple dimensions &#40;discrimination&#44; accuracy&#44; clinical utility&#41;&#46; The score was divided into the high-risk group and the low-risk group by the cut-off value of 4&#46;5&#44; because the incidence of HE at this point was significantly higher than the average one&#46; It is worth mentioning that no patients with a score of 4 were found&#44; due to the fact that NCCT signs and low GCS scores were more likely to occur when hematomas were large&#46; When the above two coexist&#44; there was a high probability that HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&#46; The specificity of score were 0&#46;85 &#40;development cohort&#41; and 0&#46;83 &#40;validation cohort&#41;&#44; which may help the clinical trials focused on hemostatic drugs screen out the groups that benefit most from HE targeted intervention&#46; In comparison with nomogram&#44; the score is simple in form and content&#44; quick in calculation&#44; and combines imaging features with laboratory examination&#44; allowing clinicians to make individualized treatments with limited information&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Veltkamp<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">12</span></a> pointed out that the history of antiplatelets was negatively correlated with the prognosis of neurological function&#44; but it&#39;s relationship with HE was highly controversial&#46; In our case&#44; the history of anticoagulants was an independent risk factor for HE while the history of antiplatelets was not&#46; The differences may be attributed to the definition of hematoma enlargement&#44; sample size&#44; or demographic factors&#46; Recently&#44; computed tomography angiography &#40;CTA&#41; spot sign has been externally verified and considered as a potential risk factor for HE and poor prognosis&#44; which has been recommended by the relevant American guidelines&#46; However&#44; in the ATACH-II clinical trial&#44;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">13</span></a> &#62;80&#37; of the subjects were not examined by CTA and discrimination of CTA spot sign failed to meet expected theoretical level&#46; In addition&#44; emergency CTA is unavailable in some primary hospitals in Asia&#46; Apart from the problems of allergy and renal insufficiency&#44; spot sign should be distinguished from false positive&#44; such as oligodendroglioma and moyamoya disease&#46; Besides&#44; a randomized clinical trial &#40;SPOTLIGHT&#41;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">14</span></a> using CTA spot sign for hemostasis was prematurely terminated due to low enrollment rates&#46; In contrast&#44; NCCT is the gold standard for the diagnosis of ICH&#44; with strong universality and simple operation&#46; It highlights the value in clinical trials by improving patient compliance and thus increases the enrollment&#46; In our study&#44; NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more was actually a novel quantification of the degree of hematoma heterogeneity&#44; which overcame subjectivity to a certain extent and improved the reliability of prediction&#46; Miyahara<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">5</span></a> thought these signs may have undergone similar pathophysiological processes&#58; active bleeding caused by secondary vascular rupture in different phases &#40;avalanche effect&#41;&#46; Veltkamp<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">12</span></a> reported that edema was an independent risk factor for HE while niveau formation was not&#44; which contradicted our study&#46; The reason may be that it was difficult to identify when different NCCT signs coexist and overlapped&#46; Another possibility was the lack of standardized training for observers&#46; Recently&#44; Li<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">15</span></a> found out low GCS score was one of the key predictors of HE &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Sakuta<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">9</span></a> suggested that compared with GCS&#44; NIHSS may better reflect the degree of mild or moderate neurological impairment&#46; It is indicated that GCS and NIHSS could be complementary according to patients&#8217; conditions&#44; though the deep connection between the above two needs to be further clarified&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Previous scores<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">5&#8211;11</span></a> have been published&#44; most of which contained NCCT signs&#44; but all were single signs&#46; Zhang<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">16</span></a> concluded in meta-analysis that it was not recommended to use separate NCCT signs to assess the risk of HE in routine clinical practice&#46; Considering the complexity of actual clinical work&#44; our study optimized and improved the single sign to NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&#44; so as to maximize the clinical information reflected in the limited scoring items&#46; The reasonable infer of the possible mechanism is that&#44; if there are multiple NCCT signs&#44; it implies that there may be multiple bleeding spots around the hematoma&#44; so the risk of HE will also increase&#46; Although some literatures<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">9&#44;12</span></a> believed that HE peaked within 6<span class="elsevierStyleHsp" style=""></span>h from the onset&#44; the shorter the time from the onset to the first CT scan&#44; the more likely HE will be detected&#46; Given that patients with mild symptoms tend to delay hospitalization&#44; to increase the enrolled population and make the score more widely applicable&#44; we set the enrollment standard as 24<span class="elsevierStyleHsp" style=""></span>h&#46; The BAT score<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">7</span></a> set the time window as 6<span class="elsevierStyleHsp" style=""></span>h from the onset to the first CT scan&#59; the HEP score<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">8</span></a> was 12<span class="elsevierStyleHsp" style=""></span>h&#59; the 9 score<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">10</span></a> and the NAG score<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">9</span></a> were both 24<span class="elsevierStyleHsp" style=""></span>h&#44; consistent with our study&#46; Brouwers<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">10</span></a> enrolled more patients with initial hematoma volume &#62;30<span class="elsevierStyleHsp" style=""></span>ml&#44; which was similar to the development cohort of our score from senior medical center&#46; Consistent with the validation cohort of our score&#44; Sakuta<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">9</span></a> reported that the majority of the study population had mild symptoms&#44; suggesting that different models may be compatible according to different clinical characteristics&#46; Although the NAG score<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">9</span></a> was simpler and more portable&#44; it did not include imaging data&#46; Since CT is the gold standard for the diagnosis of cerebral hemorrhage&#44; its reliability needs to be further verified&#46; Moreover&#44; emergency blood glucose test is not a routine project in several medical institutions&#44; which also limits its clinical application&#46; The HEAVN score<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">5</span></a> reckoned as useful in prediction of HE and neural function prognosis&#46; However&#44; the score was slightly complicated and added more subjective items&#44; which required more clinical data to support and brought about deviations to the objective reflection of the disease&#46; In addition&#44; BRAIN score<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">11</span></a> derived from the 9-point score also had the same problems&#44; which was not conducive to make decision of clinical strategies rapidly&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Of course&#44; our study had some limitations&#46; 1&#46; The results obtained from the Chinese population were of limited generalizability to other ethnic groups and lack prospective validation&#46; 2&#46; Retrospective study inherently increased the risk of selection bias and the number of patients was smaller in the validation cohort than the development cohort&#46; 3&#46; The time from onset to initial CT scan was sometimes imprecise or even unknown &#40;wake-up strokes&#41;&#46; Confounding factors such as scanning machine types and scanning parameters were usually variable&#46; 4&#46; Patients who received initial CT scan later may have developed HE but failed to be detected&#44; which will affect the proportion of HE occurrence&#46; 5&#46; The definition of HE was based on neuroimaging&#44; so the clear relationship between score and functional prognosis was not clarified&#46; 6&#46; A small number of patients were excluded from the study due to early death&#44; abandonment of treatment or emergency surgery&#46; This group was considered to have the highest incidence of HE&#44; excluding them contributed to underestimate its real performance&#46; 7&#46; Given the imparity of academic level of hospitals&#44; patients suffering severe symptoms were more common in development cohort than in the validation cohort&#44; which means the difference of patients&#8217; composition might affect the performance of the score&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Conclusion</span><p id="par0055" class="elsevierStylePara elsevierViewall">Via preliminarily validated externally&#44; our score may provide some references and help for accurately identifying high-risk individuals of HE&#44; swift guiding clinical treatments and also serving clinical trials&#46; But prospective validation is required before score could be applied to routine clinical work&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Authors&#8217; contributions</span><p id="par0060" class="elsevierStylePara elsevierViewall">XYK study concept and design&#44; analysis and interpretation of data&#44; drafting of the manuscript&#46; WQ acquisition of data&#44; analysis and interpretation of data&#44; drafting of the manuscript&#46; JD acquisition of data&#44; analysis and interpretation of data and revision of the drafting of the manuscript&#46; ZYQ obtaining funding&#44; study concept and design&#44; study supervision or coordination&#44; revision of the drafting of the manuscript&#46; All authors read and approved the final manuscript&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Funding</span><p id="par0065" class="elsevierStylePara elsevierViewall">This work was supported by the <span class="elsevierStyleGrantSponsor" id="gs1">Technology Development Project of Soochow</span> &#40;<span class="elsevierStyleGrantNumber" refid="gs1">SYSD2018102</span>&#41; and <span class="elsevierStyleGrantSponsor" id="gs2">Postgraduate Practice Innovation Program of Jiangsu Province</span> &#40;<span class="elsevierStyleGrantNumber" refid="gs2">SJCX18&#95;0855</span>&#41;&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The fund body took no part in the design of the study and collection&#44; analysis&#44; and interpretation of data and in writing the manuscript&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Conflict of interests</span><p id="par0075" class="elsevierStylePara elsevierViewall">The author&#40;s&#41; declared no potential conflicts of interest with respect to the research&#44; authorship&#44; and&#47;or publication of this article&#46;</p></span></span>"
    "textoCompletoSecciones" => array:1 [
      "secciones" => array:14 [
        0 => array:3 [
          "identificador" => "xres1489465"
          "titulo" => "Abstract"
          "secciones" => array:8 [
            0 => array:2 [
              "identificador" => "abst0005"
              "titulo" => "Objective"
            ]
            1 => array:2 [
              "identificador" => "abst0010"
              "titulo" => "Design"
            ]
            2 => array:2 [
              "identificador" => "abst0015"
              "titulo" => "Setting"
            ]
            3 => array:2 [
              "identificador" => "abst0020"
              "titulo" => "Patients"
            ]
            4 => array:2 [
              "identificador" => "abst0025"
              "titulo" => "Procedure"
            ]
            5 => array:2 [
              "identificador" => "abst0030"
              "titulo" => "Main variables"
            ]
            6 => array:2 [
              "identificador" => "abst0035"
              "titulo" => "Results"
            ]
            7 => array:2 [
              "identificador" => "abst0040"
              "titulo" => "Conclusion"
            ]
          ]
        ]
        1 => array:2 [
          "identificador" => "xpalclavsec1352565"
          "titulo" => "Keywords"
        ]
        2 => array:3 [
          "identificador" => "xres1489464"
          "titulo" => "Resumen"
          "secciones" => array:8 [
            0 => array:2 [
              "identificador" => "abst0045"
              "titulo" => "Objetivo"
            ]
            1 => array:2 [
              "identificador" => "abst0050"
              "titulo" => "Dise&#241;o"
            ]
            2 => array:2 [
              "identificador" => "abst0055"
              "titulo" => "&#193;mbito"
            ]
            3 => array:2 [
              "identificador" => "abst0060"
              "titulo" => "Pacientes"
            ]
            4 => array:2 [
              "identificador" => "abst0065"
              "titulo" => "Procedimiento"
            ]
            5 => array:2 [
              "identificador" => "abst0070"
              "titulo" => "Variables principales"
            ]
            6 => array:2 [
              "identificador" => "abst0075"
              "titulo" => "Resultados"
            ]
            7 => array:2 [
              "identificador" => "abst0080"
              "titulo" => "Conclusi&#243;n"
            ]
          ]
        ]
        3 => array:2 [
          "identificador" => "xpalclavsec1352566"
          "titulo" => "Palabras clave"
        ]
        4 => array:2 [
          "identificador" => "sec0005"
          "titulo" => "Introduction"
        ]
        5 => array:3 [
          "identificador" => "sec0010"
          "titulo" => "Patients and methods"
          "secciones" => array:3 [
            0 => array:2 [
              "identificador" => "sec0015"
              "titulo" => "Study population"
            ]
            1 => array:2 [
              "identificador" => "sec0020"
              "titulo" => "Research design"
            ]
            2 => array:2 [
              "identificador" => "sec0025"
              "titulo" => "Statistical analyses"
            ]
          ]
        ]
        6 => array:3 [
          "identificador" => "sec0030"
          "titulo" => "Results"
          "secciones" => array:2 [
            0 => array:2 [
              "identificador" => "sec0035"
              "titulo" => "Baseline characteristics of patients"
            ]
            1 => array:2 [
              "identificador" => "sec0040"
              "titulo" => "Proposal of prediction score and preliminary validation"
            ]
          ]
        ]
        7 => array:2 [
          "identificador" => "sec0045"
          "titulo" => "Discussion"
        ]
        8 => array:2 [
          "identificador" => "sec0050"
          "titulo" => "Conclusion"
        ]
        9 => array:2 [
          "identificador" => "sec0055"
          "titulo" => "Authors&#8217; contributions"
        ]
        10 => array:2 [
          "identificador" => "sec0060"
          "titulo" => "Funding"
        ]
        11 => array:2 [
          "identificador" => "sec0065"
          "titulo" => "Conflict of interests"
        ]
        12 => array:2 [
          "identificador" => "xack521439"
          "titulo" => "Acknowledgements"
        ]
        13 => array:1 [
          "titulo" => "References"
        ]
      ]
    ]
    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2019-01-16"
    "fechaAceptado" => "2019-08-28"
    "PalabrasClave" => array:2 [
      "en" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1352565"
          "palabras" => array:5 [
            0 => "Intracerebral hemorrhage"
            1 => "Hematoma expansion"
            2 => "Non-enhanced CT"
            3 => "Prediction"
            4 => "Score"
          ]
        ]
      ]
      "es" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palabras clave"
          "identificador" => "xpalclavsec1352566"
          "palabras" => array:5 [
            0 => "Hemorragia cerebral"
            1 => "Expansi&#243;n del hematoma"
            2 => "TC no realzada"
            3 => "Predicci&#243;n"
            4 => "Puntuaci&#243;n"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To propose and validate a prediction score for intracerebral hemorrhage &#40;ICH&#41; patients at risk of hematoma expansion &#40;HE&#41;&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Design</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A retrospective observational study was designed to propose and validate the score&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Setting</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Sanxiang Road branch and Xuguan branch belonging to the Second Affiliated Hospital of Soochow University &#40;China&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Patients</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A total of 317 ICH patients in Sanxiang Road branch were registered as the development cohort&#44; and 109 ICH patients in Xuguan branch were enrolled as the validation cohort&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Procedure</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Independent risk factors for HE were identified using multiple logistic regression analysis&#46; A prediction score was then proposed based on <span class="elsevierStyleItalic">&#946;</span> coefficients and preliminarily verified in the validation cohort&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Main variables</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">All clinical data of the patients were compiled from the electronic medical records&#46; Hematoma expansion was defined as an increase in hematoma volume &#62;33&#37; or absolute hematoma growth &#62;6<span class="elsevierStyleHsp" style=""></span>ml from the initial scan&#46; Specific non-contrast CT&#40;NCCT&#41; signs were identified by two observers independently&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Our score demonstrated satisfactory discrimination ability for HE &#40;area under the ROC curve 0&#46;854 in the development cohort versus 0&#46;893 in the validation cohort&#41;&#46; Appropriate calibration was found in the development cohort&#44; whereas calibration in the validation cohort was slightly lower but still within the accuracy range &#40;maximum deviation&#44; average deviation and <span class="elsevierStyleItalic">P</span> were 0&#46;070&#44; 0&#46;028&#44; 0&#46;773&#44; respectively&#44; versus 0&#46;114&#44; 0&#46;056&#44; 0&#46;156&#41;&#46; Decision curve analysis of the score from two samples were both far from the curve of treat all and curve of treat none&#44; which verified its security and reliability&#46; Patients with a total score &#8805;4&#46;5 were at greatest risk of HE&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Conclusion</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">The score may provide some reference and help in accurately identifying individuals at high risk of HE&#44; allowing rapid guidance of clinical management and also serving as an aid in clinical trials&#46;</p></span>"
        "secciones" => array:8 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Objective"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Design"
          ]
          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Setting"
          ]
          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Patients"
          ]
          4 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Procedure"
          ]
          5 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Main variables"
          ]
          6 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Results"
          ]
          7 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclusion"
          ]
        ]
      ]
      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Objetivo</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Proponer y validar una puntuaci&#243;n de predicci&#243;n de hemorragia cerebral &#40;HC&#41; en paciente con riesgo de expansi&#243;n del hematoma &#40;EH&#41;&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Dise&#241;o</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Se dise&#241;&#243; un estudio observacional retrospectivo para proponer y validar la puntuaci&#243;n&#46;</p></span> <span id="abst0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">&#193;mbito</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">ramas de Sanxiang Road y Xuguan pertenecientes al Segundo Hospital Afiliado de la Universidad de Soochow&#46;</p></span> <span id="abst0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Pacientes</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">317 pacientes con HE de la rama de Sanxiang Road fueron incluidos como la cohorte de desarrollo&#44; y 109 pacientes con HC de la rama de Xuguan fueron incluidos como la cohorte de validaci&#243;n&#46;</p></span> <span id="abst0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Procedimiento</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Se obtuvieron los factores de riesgo independientes de EH de a partir de un an&#225;lisis de regresi&#243;n m&#250;ltiple&#46; A continuaci&#243;n&#44; se propuso una puntuaci&#243;n de predicci&#243;n basada en coeficientes &#946; y se verific&#243; de forma preliminar en la cohorte de validaci&#243;n&#46;</p></span> <span id="abst0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Variables principales</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Todos los datos cl&#237;nicos de los pacientes se registraron consultando historias electr&#243;nicas&#46; La EH se defini&#243; como un aumento del volumen del hematoma &#62;33&#37; o un crecimiento absoluto del hematoma &#62;6<span class="elsevierStyleHsp" style=""></span>ml respecto a la exploraci&#243;n inicial&#46; Los signos espec&#237;ficos de la tomograf&#237;a computerizada sin contraste &#40;TCSC&#41; fueron identificados de manera independiente por dos observadores&#46;</p></span> <span id="abst0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Resultados</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Nuestra puntuaci&#243;n demostr&#243; de manera satisfactoria su capacidad de discriminaci&#243;n para la EH &#40;el &#225;rea bajo la curva ROC fue 0&#46;854 en la cohorte de desarrollo frente a 0&#46;893 en la cohorte de validaci&#243;n&#41;&#46; Se observ&#243; un calibrado adecuado en la cohorte de desarrollo&#44; mientras que el calibrado de la cohorte de validaci&#243;n fue ligeramente inferior&#44; si bien se mantuvo dentro del intervalo de precisi&#243;n &#40;la desviaci&#243;n m&#225;xima&#44; la desviaci&#243;n promedio y el valor <span class="elsevierStyleItalic">P</span> fueron respectivamente 0&#46;070&#44; 0&#46;028 y 0&#46;773&#44; frente a 0&#46;114&#44; 0&#46;056 y 0&#46;156&#41;&#46; Las curvas de an&#225;lisis de la curva de decisi&#243;n de la puntuaci&#243;n a partir de las dos muestras se situaron alejadas de la curva de tratar a todos y de la curva de no tratar a ninguno&#44; lo cual verific&#243; su seguridad y fiabilidad&#46; Los pacientes con una puntuaci&#243;n total &#8805;<span class="elsevierStyleHsp" style=""></span>4&#46;5 corr&#237;an un mayor riesgo de EH&#46;</p></span> <span id="abst0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conclusi&#243;n</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Es posible que la puntuaci&#243;n sirva de referencia y ayuda para identificar con precisi&#243;n a las personas con alto riesgo de EH&#44; adem&#225;s de ofrecer una gu&#237;a r&#225;pida sobre el tratamiento y de poder utilizarse en ensayos cl&#237;nicos&#46;</p></span>"
        "secciones" => array:8 [
          0 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Objetivo"
          ]
          1 => array:2 [
            "identificador" => "abst0050"
            "titulo" => "Dise&#241;o"
          ]
          2 => array:2 [
            "identificador" => "abst0055"
            "titulo" => "&#193;mbito"
          ]
          3 => array:2 [
            "identificador" => "abst0060"
            "titulo" => "Pacientes"
          ]
          4 => array:2 [
            "identificador" => "abst0065"
            "titulo" => "Procedimiento"
          ]
          5 => array:2 [
            "identificador" => "abst0070"
            "titulo" => "Variables principales"
          ]
          6 => array:2 [
            "identificador" => "abst0075"
            "titulo" => "Resultados"
          ]
          7 => array:2 [
            "identificador" => "abst0080"
            "titulo" => "Conclusi&#243;n"
          ]
        ]
      ]
    ]
    "multimedia" => array:8 [
      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1169
            "Ancho" => 1549
            "Tamanyo" => 132266
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Cohorts&#8217; selection flowchart&#46; ICH&#44; intracerebral hemorrhage&#46;</p>"
        ]
      ]
      1 => array:7 [
        "identificador" => "fig0010"
        "etiqueta" => "Figure 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 840
            "Ancho" => 2508
            "Tamanyo" => 196721
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Illustration of the particular radiological signs in NCCT&#46; A&#46; Island sign&#59; B&#46; black hole sign&#59; C&#46; blend sign&#59; D&#46; niveau formation&#59; E&#46; edema&#46;</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "fig0015"
        "etiqueta" => "Figure 3"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr3.jpeg"
            "Alto" => 2310
            "Ancho" => 1513
            "Tamanyo" => 166248
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Calibration plot of the score&#46; <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf">max</span>&#44; maximum deviation of probability&#59; <span class="elsevierStyleItalic">E</span><span class="elsevierStyleInf">avg</span>&#44; average deviation of probability&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "fig0020"
        "etiqueta" => "Figure 4"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr4.jpeg"
            "Alto" => 2267
            "Ancho" => 1430
            "Tamanyo" => 155014
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Decision curve analysis of the score&#46; Curves of score from two samples were both far from curve of treat all and curve of treat none&#44; with a wide range of optional threshold probability and a high net benefit&#46;</p>"
        ]
      ]
      4 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at1"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">GCS&#44; Glasgow Coma Scale&#59; HE&#44; hematoma expansion&#59; ICH&#44; intracerebral hemorrhage&#59; SBP&#44; systolic blood pressure&#59; Hb&#44; hemoglobin&#59; INR&#44; international sensitivity index&#59; NCCT&#44; non-contrast CT&#59; HG&#44; hematoma growth&#59; SD&#44; standard deviation&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>317&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HE &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-HE &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>230&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age&#44; years&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">64 &#40;52&#8211;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66 &#40;52&#8211;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">64 &#40;52&#8211;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;497&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sex&#44; male&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200 &#40;63&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53 &#40;60&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147 &#40;63&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;622&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hypertension&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">239 &#40;75&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66 &#40;75&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">173 &#40;75&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;905&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes mellitus&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48 &#40;15&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;12&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37 &#40;16&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;445&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Chronic kidney disease&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;4&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7 &#40;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;220&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Antiplatelets&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20 &#40;6&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;5&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;6&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;800&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anticoagulants&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;2&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;9&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Recurrent ICH&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30 &#40;9&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;9&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;9&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;920&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">SBP&#44; mmHg&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">163 &#40;148&#8211;180&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">162 &#40;148&#8211;182&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">165 &#40;148&#8211;175&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;630&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Platelet&#44; &#215;10<span class="elsevierStyleSup">9</span><span class="elsevierStyleHsp" style=""></span>l<span class="elsevierStyleSup">&#8722;1</span>&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">196 &#40;163&#8211;240&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">185 &#40;149&#8211;229&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">204 &#40;165&#8211;243&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;032&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Platelet<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>135<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span><span class="elsevierStyleHsp" style=""></span>l<span class="elsevierStyleSup">&#8722;1</span>&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">32 &#40;10&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;14&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19 &#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;078&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">INR&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;03 &#40;0&#46;98&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;03 &#40;0&#46;98&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;02 &#40;0&#46;98&#8211;1&#46;07&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;358&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hb&#44; g&#47;l&#44; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">140&#46;65<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>17&#46;96&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">141&#46;06<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>20&#46;22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">140&#46;50<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>17&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;804&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">D-Dimer&#44; mg&#47;l&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;77 &#40;0&#46;41&#8211;1&#46;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;98 &#40;0&#46;61&#8211;1&#46;41&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;72 &#40;0&#46;39&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">D-Dimer<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>0&#46;65<span class="elsevierStyleHsp" style=""></span>mg&#47;l&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">190 &#40;59&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">65 &#40;74&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">125 &#40;54&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Potassium&#44; mmol&#47;l&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;57 &#40;3&#46;29&#8211;3&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;54 &#40;3&#46;16&#8211;3&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;59 &#40;3&#46;34&#8211;3&#46;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;040&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Potassium<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>3&#46;1<span class="elsevierStyleHsp" style=""></span>mmol&#47;l&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;12&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19 &#40;21&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21 &#40;9&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Calcium&#44; mmol&#47;l&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;24 &#40;2&#46;17&#8211;2&#46;32&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;24 &#40;2&#46;16&#8211;2&#46;31&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;25 &#40;2&#46;17&#8211;2&#46;32&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;351&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Time to initial CT scan&#44; <span class="elsevierStyleItalic">h</span>&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#8211;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;5 &#40;2&#8211;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#8211;7&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Baseline ICH volume&#44; ml&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;4&#46;5&#8211;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23 &#40;10&#8211;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;3&#46;5&#8211;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HG&#44; ml&#47;h&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;8 &#40;1&#8211;7&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;3&#46;78&#8211;15&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;78 &#40;0&#46;7&#8211;4&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">162 &#40;51&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">76 &#40;87&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">86 &#40;37&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Supratentorial ICH&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">284 &#40;89&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82 &#40;94&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">202 &#40;87&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;095&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Intraventricular ICH&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">106 &#40;33&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35 &#40;40&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71 &#40;30&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;115&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GCS&#44; median &#40;p25&#8211;p75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;11&#8211;14&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;8&#8211;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;12&#8211;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GCS<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43 &#40;13&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30 &#40;34&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;5&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Island sign&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59 &#40;18&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51 &#40;58&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Black hole sign&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">74 &#40;23&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;51&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;12&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Blend sign&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;8&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;18&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12 &#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Edema&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37 &#40;11&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;17&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;9&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;058&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Niveau formation&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18 &#40;5&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;18&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;0&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">109 &#40;34&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">63 &#40;72&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46 &#40;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2558364.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Baseline clinical characteristics of patients in the development cohort&#46;</p>"
        ]
      ]
      5 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">GCS&#44; Glasgow Coma Scale&#59; ICH&#44; intracerebral hemorrhage&#59; NCCT&#44; non-contrast CT&#59; HG&#44; hematoma growth&#59; OR&#44; odds ratio&#59; CI&#44; confidence interval&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span> Coefficients&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">OR &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anticoagulants&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;212&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#46;83 &#40;1&#46;95&#8211;315&#46;48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;688&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;41 &#40;2&#46;46&#8211;11&#46;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GCS<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;364&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;91 &#40;1&#46;63&#8211;9&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">D-Dimer<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>0&#46;65<span class="elsevierStyleHsp" style=""></span>mg&#47;l&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;633&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;88 &#40;0&#46;96&#8211;3&#46;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;068&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Potassium<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>3&#46;1<span class="elsevierStyleHsp" style=""></span>mmol&#47;l&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;705&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;02 &#40;0&#46;81&#8211;5&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;130&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;471&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;35 &#40;2&#46;24&#8211;8&#46;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2558365.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">Multiple logistic regression of risk factors in the development cohort&#46;</p>"
        ]
      ]
      6 => array:8 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at3"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">GCS&#44; Glasgow Coma Scale&#59; HE&#44; hematoma expansion&#59; ICH&#44; intracerebral hemorrhage&#59; NCCT&#44; non-contrast CT&#59; HG&#44; hematoma growth&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Points&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GCS<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HG<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>2&#46;7<span class="elsevierStyleHsp" style=""></span>ml&#47;h&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NCCT signs &#40;island sign&#44; black hole sign&#44; blend sign&#44; niveau formation&#41; exist one or more&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anticoagulants&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#8211;11&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2558363.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Prediction score of HE in ICH&#46;</p>"
        ]
      ]
      7 => array:8 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at4"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Development cohortHematoma expansion &#40;&#37;&#44; <span class="elsevierStyleItalic">n</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Validation cohortHematoma expansion &#40;&#37;&#44; <span class="elsevierStyleItalic">n</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Score</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;2 &#40;8&#47;130&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;5 &#40;1&#47;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#46;7 &#40;2&#47;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#46;5 &#40;1&#47;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>2&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15&#46;9 &#40;10&#47;63&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;5 &#40;3&#47;26&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>4&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#46;1 &#40;37&#47;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#46;6 &#40;6&#47;19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>6&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#46;1 &#40;23&#47;28&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">92&#46;3 &#40;12&#47;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>&#8805;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100 &#40;7&#47;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100 &#40;3&#47;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Dichotomized</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>&#60;4&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;3 &#40;20&#47;216&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;8 &#40;5&#47;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>&#8805;4&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;3 &#40;67&#47;101&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#46;0 &#40;21&#47;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">When score &#8805;4&#46;5</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sensitivity&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;77&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;81&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Specificity&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Positive predictive value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;66&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;60&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Negative predictive value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;93&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Overall accuracy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2558362.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0135" class="elsevierStyleSimplePara elsevierViewall">The proportion of patients experiencing HE by score&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
          "bibliografiaReferencia" => array:16 [
            0 => array:3 [
              "identificador" => "bib0085"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Associations of low triiodothyronine syndrome and Glasgow coma scale scores with mortalities and recurrence in hypertensive intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "G&#46;F&#46; Wang"
                            1 => "Y&#46;X&#46; Kang"
                            2 => "T&#46;T&#46; Cang"
                            3 => "J&#46;K&#46; Xu"
                            4 => "X&#46;L&#46; Xu"
                            5 => "Y&#46; Zhao"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Chin J Neuromed"
                        "fecha" => "2018"
                        "volumen" => "17"
                        "paginaInicial" => "699"
                        "paginaFinal" => "704"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            1 => array:3 [
              "identificador" => "bib0090"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Risk of intracerebral haemorrhage with alteplase after acute ischaemic stroke&#58; a secondary analysis of an individual patient data meta-analysis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:5 [
                            0 => "W&#46;N&#46; Whiteley"
                            1 => "J&#46; Emberson"
                            2 => "K&#46;R&#46; Lees"
                            3 => "L&#46; Blackwell"
                            4 => "G&#46; Albers"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/S1474-4422(16)30076-X"
                      "Revista" => array:6 [
                        "tituloSerie" => "Lancet Neurol"
                        "fecha" => "2016"
                        "volumen" => "15"
                        "paginaInicial" => "925"
                        "paginaFinal" => "933"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27289487"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            2 => array:3 [
              "identificador" => "bib0095"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Clinical outcomes of endoscopic and microsurgical treatments in patients with hypertensive basal ganglia hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "Q&#46;W&#46; Zhou"
                            1 => "M&#46; Liu"
                            2 => "S&#46;D&#46; Xi"
                            3 => "B&#46;Q&#46; Xu"
                            4 => "J&#46;J&#46; Chen"
                            5 => "J&#46;R&#46; Dong"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Chin J Neuromed"
                        "fecha" => "2018"
                        "volumen" => "17"
                        "paginaInicial" => "301"
                        "paginaFinal" => "305"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            3 => array:3 [
              "identificador" => "bib0100"
              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Magnesium&#44; hemostasis&#44; and outcomes in patients with intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "E&#46;M&#46; Liotta"
                            1 => "S&#46; Prabhakaran"
                            2 => "R&#46;S&#46; Sangha"
                            3 => "R&#46;A&#46; Bush"
                            4 => "A&#46;E&#46; Long"
                            5 => "S&#46;A&#46; Trevick"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Neurology"
                        "fecha" => "2017"
                        "volumen" => "89"
                        "paginaInicial" => "813"
                        "paginaFinal" => "819"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            4 => array:3 [
              "identificador" => "bib0105"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "New prediction score for hematoma expansion and neurological deterioration after spontaneous intracerebral hemorrhage&#58; a hospital-based retrospective cohort study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "M&#46; Miyahara"
                            1 => "R&#46; Noda"
                            2 => "S&#46; Yamaguchi"
                            3 => "Y&#46; Tamai"
                            4 => "M&#46; Inoue"
                            5 => "K&#46; Okamoto"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.jstrokecerebrovasdis.2018.05.018"
                      "Revista" => array:6 [
                        "tituloSerie" => "J Stroke Cerebrovasc Dis"
                        "fecha" => "2018"
                        "volumen" => "27"
                        "paginaInicial" => "2543"
                        "paginaFinal" => "2550"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29880210"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            5 => array:3 [
              "identificador" => "bib0110"
              "etiqueta" => "6"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "A reliable grading system for prediction of hematoma expansion in intracerebral hemorrhage in the basal ganglia"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "Y&#46;W&#46; Huang"
                            1 => "Q&#46; Zhang"
                            2 => "M&#46;F&#46; Yang"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Biosci Trends"
                        "fecha" => "2018"
                        "volumen" => "12"
                        "paginaInicial" => "193"
                        "paginaFinal" => "200"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            6 => array:3 [
              "identificador" => "bib0115"
              "etiqueta" => "7"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Predicting intracerebral hemorrhage expansion with noncontrast computed tomography&#58; the BAT score"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Morotti"
                            1 => "D&#46; Dowlatshahi"
                            2 => "G&#46; Boulouis"
                            3 => "F&#46; Al-Ajlan"
                            4 => "A&#46;M&#46; Demchuk"
                            5 => "R&#46;I&#46; Aviv"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1161/STROKEAHA.117.020138"
                      "Revista" => array:6 [
                        "tituloSerie" => "Stroke"
                        "fecha" => "2018"
                        "volumen" => "49"
                        "paginaInicial" => "1163"
                        "paginaFinal" => "1169"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29669875"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            7 => array:3 [
              "identificador" => "bib0120"
              "etiqueta" => "8"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The HEP score&#58; a nomogram-derived hematoma expansion prediction scale"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:5 [
                            0 => "X&#46;Y&#46; Yao"
                            1 => "Y&#46; Xu"
                            2 => "E&#46; Siwila-Sackman"
                            3 => "B&#46; Wu"
                            4 => "M&#46; Selim"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1007/s12028-015-0147-4"
                      "Revista" => array:6 [
                        "tituloSerie" => "Neurocrit Care"
                        "fecha" => "2015"
                        "volumen" => "23"
                        "paginaInicial" => "179"
                        "paginaFinal" => "187"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25963292"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            8 => array:3 [
              "identificador" => "bib0125"
              "etiqueta" => "9"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The NAG scale&#58; noble predictive scale for hematoma expansion in intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "K&#46; Sakuta"
                            1 => "T&#46; Sato"
                            2 => "T&#46; Komatsu"
                            3 => "K&#46; Sakai"
                            4 => "Y&#46; Terasawa"
                            5 => "H&#46; Mitsumura"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.jstrokecerebrovasdis.2018.05.020"
                      "Revista" => array:6 [
                        "tituloSerie" => "J Stroke Cerebrovasc Dis"
                        "fecha" => "2018"
                        "volumen" => "27"
                        "paginaInicial" => "2606"
                        "paginaFinal" => "2612"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29958849"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            9 => array:3 [
              "identificador" => "bib0130"
              "etiqueta" => "10"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Predicting hematoma expansion after primary intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "H&#46;B&#46; Brouwers"
                            1 => "Y&#46; Chang"
                            2 => "G&#46;J&#46; Falcone"
                            3 => "X&#46; Cai"
                            4 => "A&#46;M&#46; Ayres"
                            5 => "T&#46;W&#46;K&#46; Battey"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1001/jamaneurol.2013.5433"
                      "Revista" => array:6 [
                        "tituloSerie" => "JAMA Neurol"
                        "fecha" => "2014"
                        "volumen" => "71"
                        "paginaInicial" => "158"
                        "paginaFinal" => "164"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24366060"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            10 => array:3 [
              "identificador" => "bib0135"
              "etiqueta" => "11"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Clinical prediction algorithm &#40;BRAIN&#41; to determine risk of hematoma growth in acute intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "X&#46; Wang"
                            1 => "H&#46; Arima"
                            2 => "R&#46; Al-Shahi Salman"
                            3 => "M&#46; Woodward"
                            4 => "E&#46; Heeley"
                            5 => "C&#46; Stapf"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Stroke"
                        "fecha" => "2015"
                        "volumen" => "46"
                        "paginaInicial" => "376"
                        "paginaFinal" => "381"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            11 => array:3 [
              "identificador" => "bib0140"
              "etiqueta" => "12"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Management of spontaneous intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:2 [
                            0 => "R&#46; Veltkamp"
                            1 => "J&#46; Purrucker"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1007/s11910-017-0783-5"
                      "Revista" => array:5 [
                        "tituloSerie" => "Curr Neurol Neurosci Rep"
                        "fecha" => "2017"
                        "volumen" => "17"
                        "paginaInicial" => "80"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28887767"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            12 => array:3 [
              "identificador" => "bib0145"
              "etiqueta" => "13"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign &#40;PREDICT&#41;&#58; a prospective observational study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46;M&#46; Demchuk"
                            1 => "D&#46; Dowlatshahi"
                            2 => "D&#46; Rodriguez-Luna"
                            3 => "C&#46;A&#46; Molina"
                            4 => "Y&#46;S&#46; Blas"
                            5 => "I&#46; Dzialowski"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/S1474-4422(12)70038-8"
                      "Revista" => array:6 [
                        "tituloSerie" => "Lancet Neurol"
                        "fecha" => "2012"
                        "volumen" => "11"
                        "paginaInicial" => "307"
                        "paginaFinal" => "314"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22405630"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            13 => array:3 [
              "identificador" => "bib0150"
              "etiqueta" => "14"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Validation of the 9-point and 24-point hematoma expansion prediction scores and derivation of the PREDICT A&#47;B scores"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "T&#46;J&#46; Huynh"
                            1 => "R&#46;I&#46; Aviv"
                            2 => "D&#46; Dowlatshahi"
                            3 => "D&#46;J&#46; Gladstone"
                            4 => "A&#46; Laupacis"
                            5 => "A&#46; Kiss"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Stroke"
                        "fecha" => "2015"
                        "volumen" => "46"
                        "paginaInicial" => "3105"
                        "paginaFinal" => "3110"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            14 => array:3 [
              "identificador" => "bib0155"
              "etiqueta" => "15"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Island sign&#58; an imaging predictor for early hematoma expansion and poor outcome in patients with intracerebral hemorrhage"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "Q&#46; Li"
                            1 => "Q&#46;J&#46; Liu"
                            2 => "W&#46;S&#46; Yang"
                            3 => "X&#46;C&#46; Wang"
                            4 => "L&#46;B&#46; Zhao"
                            5 => "X&#46; Xiong"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1161/STROKEAHA.117.017985"
                      "Revista" => array:6 [
                        "tituloSerie" => "Stroke"
                        "fecha" => "2017"
                        "volumen" => "48"
                        "paginaInicial" => "3019"
                        "paginaFinal" => "3025"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29018128"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            15 => array:3 [
              "identificador" => "bib0160"
              "etiqueta" => "16"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Heterogeneity signs on noncontrast computed tomography predict hematoma expansion after intracerebral hemorrhage&#58; a meta-analysis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "D&#46;F&#46; Zhang"
                            1 => "J&#46;G&#46; Chen"
                            2 => "Q&#46; Xue"
                            3 => "B&#46;Y&#46; Du"
                            4 => "Y&#46; Li"
                            5 => "T&#46; Chen"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Biomed Res Int"
                        "fecha" => "2018"
                        "volumen" => "10"
                        "paginaInicial" => "1"
                        "paginaFinal" => "9"
                      ]
                    ]
                  ]
                ]
              ]
            ]
          ]
        ]
      ]
    ]
    "agradecimientos" => array:1 [
      0 => array:4 [
        "identificador" => "xack521439"
        "titulo" => "Acknowledgements"
        "texto" => "<p id="par0080" class="elsevierStylePara elsevierViewall">The authors thank the participants and all who were involved in our study&#46;</p>"
        "vista" => "all"
      ]
    ]
  ]
  "idiomaDefecto" => "en"
  "url" => "/21735727/0000004500000003/v1_202103261003/S2173572721000254/v1_202103261003/en/main.assets"
  "Apartado" => array:4 [
    "identificador" => "411"
    "tipo" => "SECCION"
    "en" => array:2 [
      "titulo" => "Original articles"
      "idiomaDefecto" => true
    ]
    "idiomaDefecto" => "en"
  ]
  "PDF" => "https://static.elsevier.es/multimedia/21735727/0000004500000003/v1_202103261003/S2173572721000254/v1_202103261003/en/main.pdf?idApp=WMIE&text.app=https://medintensiva.org/"
  "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572721000254?idApp=WMIE"
]
Share
Journal Information
Vol. 45. Issue 3.
Pages 147-155 (April 2021)
Share
Share
Download PDF
More article options
Visits
3352
Vol. 45. Issue 3.
Pages 147-155 (April 2021)
Original article
Full text access
Proposal of a prediction score for hematoma expansion after intracerebral hemorrhage
Propuesta de una puntuación de predicción de la expansión del hematoma tras una hemorragia cerebral
Visits
3352
X.Y. Konga, W. Qianb, J. Dongb, Z.Y. Qianb,
Corresponding author
1243847947@qq.com

Corresponding author.
a Department of Neurosurgery, The First People's Hospital of Huzhou, the First Affiliated Hospital of Huzhou Teachers College, Huzhou, Zhejiang Province, China
b Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
This item has received
Article information
Abstract
Full Text
Bibliography
Download PDF
Statistics
Figures (4)
Show moreShow less
Tables (4)
Table 1. Baseline clinical characteristics of patients in the development cohort.
Table 2. Multiple logistic regression of risk factors in the development cohort.
Table 3. Prediction score of HE in ICH.
Table 4. The proportion of patients experiencing HE by score.
Show moreShow less
Abstract
Objective

To propose and validate a prediction score for intracerebral hemorrhage (ICH) patients at risk of hematoma expansion (HE).

Design

A retrospective observational study was designed to propose and validate the score.

Setting

Sanxiang Road branch and Xuguan branch belonging to the Second Affiliated Hospital of Soochow University (China).

Patients

A total of 317 ICH patients in Sanxiang Road branch were registered as the development cohort, and 109 ICH patients in Xuguan branch were enrolled as the validation cohort.

Procedure

Independent risk factors for HE were identified using multiple logistic regression analysis. A prediction score was then proposed based on β coefficients and preliminarily verified in the validation cohort.

Main variables

All clinical data of the patients were compiled from the electronic medical records. Hematoma expansion was defined as an increase in hematoma volume >33% or absolute hematoma growth >6ml from the initial scan. Specific non-contrast CT(NCCT) signs were identified by two observers independently.

Results

Our score demonstrated satisfactory discrimination ability for HE (area under the ROC curve 0.854 in the development cohort versus 0.893 in the validation cohort). Appropriate calibration was found in the development cohort, whereas calibration in the validation cohort was slightly lower but still within the accuracy range (maximum deviation, average deviation and P were 0.070, 0.028, 0.773, respectively, versus 0.114, 0.056, 0.156). Decision curve analysis of the score from two samples were both far from the curve of treat all and curve of treat none, which verified its security and reliability. Patients with a total score ≥4.5 were at greatest risk of HE.

Conclusion

The score may provide some reference and help in accurately identifying individuals at high risk of HE, allowing rapid guidance of clinical management and also serving as an aid in clinical trials.

Keywords:
Intracerebral hemorrhage
Hematoma expansion
Non-enhanced CT
Prediction
Score
Resumen
Objetivo

Proponer y validar una puntuación de predicción de hemorragia cerebral (HC) en paciente con riesgo de expansión del hematoma (EH).

Diseño

Se diseñó un estudio observacional retrospectivo para proponer y validar la puntuación.

Ámbito

ramas de Sanxiang Road y Xuguan pertenecientes al Segundo Hospital Afiliado de la Universidad de Soochow.

Pacientes

317 pacientes con HE de la rama de Sanxiang Road fueron incluidos como la cohorte de desarrollo, y 109 pacientes con HC de la rama de Xuguan fueron incluidos como la cohorte de validación.

Procedimiento

Se obtuvieron los factores de riesgo independientes de EH de a partir de un análisis de regresión múltiple. A continuación, se propuso una puntuación de predicción basada en coeficientes β y se verificó de forma preliminar en la cohorte de validación.

Variables principales

Todos los datos clínicos de los pacientes se registraron consultando historias electrónicas. La EH se definió como un aumento del volumen del hematoma >33% o un crecimiento absoluto del hematoma >6ml respecto a la exploración inicial. Los signos específicos de la tomografía computerizada sin contraste (TCSC) fueron identificados de manera independiente por dos observadores.

Resultados

Nuestra puntuación demostró de manera satisfactoria su capacidad de discriminación para la EH (el área bajo la curva ROC fue 0.854 en la cohorte de desarrollo frente a 0.893 en la cohorte de validación). Se observó un calibrado adecuado en la cohorte de desarrollo, mientras que el calibrado de la cohorte de validación fue ligeramente inferior, si bien se mantuvo dentro del intervalo de precisión (la desviación máxima, la desviación promedio y el valor P fueron respectivamente 0.070, 0.028 y 0.773, frente a 0.114, 0.056 y 0.156). Las curvas de análisis de la curva de decisión de la puntuación a partir de las dos muestras se situaron alejadas de la curva de tratar a todos y de la curva de no tratar a ninguno, lo cual verificó su seguridad y fiabilidad. Los pacientes con una puntuación total ≥4.5 corrían un mayor riesgo de EH.

Conclusión

Es posible que la puntuación sirva de referencia y ayuda para identificar con precisión a las personas con alto riesgo de EH, además de ofrecer una guía rápida sobre el tratamiento y de poder utilizarse en ensayos clínicos.

Palabras clave:
Hemorragia cerebral
Expansión del hematoma
TC no realzada
Predicción
Puntuación
Full Text
Introduction

It is well known that intracerebral hemorrhage (ICH) is the second most common type of stroke, accounting for 10–15% of all stroke events.1 The fatality rate is relatively high, only 12–39% survivors could live independently.2 Early hematoma expansion (HE) occurs in 20–30% of ICH patients,3 accompanied by re-bleeding occasionally. Through the CT scanning and three-dimensional reconstruction analysis of the enlarged hematoma, Liotta4 found that HE was caused by the irregular expansion along the surface of the original hematoma, mainly within 24h after the onset. HE is an independent risk factor for disability and death in patients of ICH, so timely assessment and prevention of HE becomes the focus of current research. But treatments toward HE still exist some disputes and have not been standardized, including intensive blood pressure control, transamin,4 rectify the blood coagulation dysfunction, neurological intensive care unit and minimally invasive surgery. Saving lives, utmost retaining or even restoring neurological function are the fundamental purposes of treatments. Therefore, it is of great value to use simple predictors to screen out the high-risk patients who may have HE and make targeted treatments to curb the early deterioration of ICH. The objective of the study was exploring the risk factors of HE, proposing a prediction score and making a preliminary validation.

Patients and methodsStudy population

We performed the research in two branches of the Second Affiliated Hospital of Soochow University. Patients admitted to the Sanxiang Road branch from January 2016 to May 2018 were consecutively registered as development cohort. Then we included patients in the Xuguan branch during the same time as validation cohort. The two branches are both academic medical center while the former is senior to the latter (number of beds: 1300 vs. 700). Inclusion criteria: 1. The first CT scan was acquired within 24h after the onset and the diagnosis was spontaneous ICH; 2. Age18. Exclusion criteria: 1. Secondary ICH (cerebral tumor, traumatic brain injury, arteriovenous malformation, cerebral aneurysm, hemorrhagic transformation of cerebral infarction); 2. Emergency surgery was performed before the second CT scan; 3. CT was not re-examined within 72h after the first scan. In brief, cohorts’ selection flowchart is shown in Fig. 1. The study was approved by the ethical committee of the Second Affiliated Hospital of Soochow University (JD-LK-2018-067-01). All study protocols and procedures were conducted in accordance with the declaration of Helsinki. Because this study was a retrospective observational study, patients’ information was anonymized and deidentified before analysis. Therefore, the need for patients’ consent was waived.

Figure 1.

Cohorts’ selection flowchart. ICH, intracerebral hemorrhage.

(0.13MB).
Research design

Retrospective study was conducted to record the clinical data of patients by referring to electronic medical records and the subjects were divided into HE group and non-HE group. The score was proposed from development cohort and verified in the validation cohort afterwards. HE was defined as an increase of hematoma volume >33% or absolute hematoma growth >6ml from initial scan.2,4,5 Specific non-contrast CT(NCCT) signs (island sign, black hole sign, blend sign, edema, niveau formation) were identified and recorded referring to previous study.5 There were some photos of NCCT to illustrate the particular radiological signs in Fig. 2. The two observers (neuroradiologist and neurologist) were blind to the information and outcome of patients, independently evaluated the images. Disagreements were decided by consensus decision.

Figure 2.

Illustration of the particular radiological signs in NCCT. A. Island sign; B. black hole sign; C. blend sign; D. niveau formation; E. edema.

(0.19MB).
Statistical analyses

Statistical analyses were performed using SPSS 25.0, Stata 15, and Rstudio. Medians and interquartile ranges (IQRs) or the mean±standard deviation (SD) was used to describe continuous variables, and percentage (%) was used to describe categorical variables. Statistical significance was assessed by χ2 test for categorical variables and Mann–Whitney U test for continuous variables. To propose the score, continuous variables had to convert into categorical variables by cut-off values, which were obtained by quartile, Youden index of receiver operating characteristic (ROC) curve and recursive partitioning as appropriate. To avoid collinearity, partial repeated variables were professionally removed. Categorical variables with P<0.05 between groups were included in the multivariate logistic regression. As a result, risk factors with P<0.05 in regression were added into score. The assigned scores for each item were derived by parameter estimates (β coefficients) from the regression and increased proportionately to the nearest integer by and large. Novel measures of score performance were utilized both in the development cohort and the validation cohort, including the area under ROC curve for discrimination, Hosmer–Lemeshow goodness-of-fit statistic and calibration plot for accuracy, and decision curve analysis (DCA) for clinical utility. A two-tailed P<0.05 was considered statistically significant.

ResultsBaseline characteristics of patients

Baseline characteristics of participants in the development cohort are shown in Table 1. HE was observed in 87 patients (27.4%) in the development cohort compared with 26 patients (23.9%) in the validation cohort. History of anticoagulants, D-Dimer0.65mg/l, potassium3.1mmol/l, hematoma growth (HG)2.7ml/h, Glasgow Coma Scale (GCS)8, and NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more, were risk factors of HE (P<0.05). Then the above factors were included in multivariate logistic regression and the detailed results were shown in Table 2. Finally, it was concluded that the history of anticoagulants, HG2.7ml/h, GCS8, and NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more, were independent risk factors of HE (P<0.05).

Table 1.

Baseline clinical characteristics of patients in the development cohort.

Variables  Total (n=317)  HE (n=87)  Non-HE (n=230)  P 
Age, years, median (p25–p75)  64 (52–74)  66 (52–75)  64 (52–73)  0.497 
Sex, male, n (%)  200 (63.1)  53 (60.9)  147 (63.9)  0.622 
Hypertension, n (%)  239 (75.4)  66 (75.9)  173 (75.2)  0.905 
Diabetes mellitus, n (%)  48 (15.1)  11 (12.6)  37 (16.1)  0.445 
Chronic kidney disease, n (%)  13 (4.1)  6 (6.9)  7 (3.0)  0.220 
Antiplatelets, n (%)  20 (6.3)  5 (5.7)  15 (6.5)  0.800 
Anticoagulants, n (%)  9 (2.8)  8 (9.2)  1 (0.4)  <0.001 
Recurrent ICH, n (%)  30 (9.5)  8 (9.2)  22 (9.6)  0.920 
SBP, mmHg, median (p25–p75)  163 (148–180)  162 (148–182)  165 (148–175)  0.630 
Platelet, ×109l−1, median (p25–p75)  196 (163–240.5)  185 (149–229)  204 (165–243.5)  0.032 
Platelet135×109l−1, n (%)  32 (10.1)  13 (14.9)  19 (8.3)  0.078 
INR, median (p25–p75)  1.03 (0.98–1.08)  1.03 (0.98–1.08)  1.02 (0.98–1.07)  0.358 
Hb, g/l, mean (SD)  140.65±17.96  141.06±20.22  140.50±17.06  0.804 
D-Dimer, mg/l, median (p25–p75)  0.77 (0.41–1.15)  0.98 (0.61–1.41)  0.72 (0.39–1.08)  0.001 
D-Dimer0.65mg/l, n (%)  190 (59.9)  65 (74.7)  125 (54.3)  0.001 
Potassium, mmol/l, median (p25–p75)  3.57 (3.29–3.88)  3.54 (3.16–3.76)  3.59 (3.34–3.90)  0.040 
Potassium3.1mmol/l, n (%)  40 (12.6)  19 (21.8)  21 (9.1)  0.002 
Calcium, mmol/l, median (p25–p75)  2.24 (2.17–2.32)  2.24 (2.16–2.31)  2.25 (2.17–2.32)  0.351 
Time to initial CT scan, h, median (p25–p75)  3 (2–6)  2.5 (2–4)  3 (2–7.25)  0.003 
Baseline ICH volume, ml, median (p25–p75)  8 (4.5–18)  23 (10–40)  6 (3.5–13)  <0.001 
HG, ml/h, median (p25–p75)  2.8 (1–7.5)  8 (3.78–15.33)  1.78 (0.7–4.58)  <0.001 
HG2.7ml/h, n (%)  162 (51.1)  76 (87.4)  86 (37.4)  <0.001 
Supratentorial ICH, n (%)  284 (89.6)  82 (94.3)  202 (87.8)  0.095 
Intraventricular ICH, n (%)  106 (33.4)  35 (40.2)  71 (30.9)  0.115 
GCS, median (p25–p75)  13 (11–14)  11 (8–13)  13 (12–15)  <0.001 
GCS8, n (%)  43 (13.6)  30 (34.5)  13 (5.7)  <0.001 
Island sign, n (%)  59 (18.6)  51 (58.6)  8 (3.5)  <0.001 
Black hole sign, n (%)  74 (23.3)  45 (51.7)  29 (12.6)  <0.001 
Blend sign, n (%)  28 (8.8)  16 (18.4)  12 (5.2)  <0.001 
Edema, n (%)  37 (11.7)  15 (17.2)  22 (9.6)  0.058 
Niveau formation, n (%)  18 (5.7)  16 (18.4)  2 (0.9)  <0.001 
NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more, n (%)  109 (34.4)  63 (72.4)  46 (20)  <0.001 

GCS, Glasgow Coma Scale; HE, hematoma expansion; ICH, intracerebral hemorrhage; SBP, systolic blood pressure; Hb, hemoglobin; INR, international sensitivity index; NCCT, non-contrast CT; HG, hematoma growth; SD, standard deviation.

Table 2.

Multiple logistic regression of risk factors in the development cohort.

Variables  β Coefficients  OR (95% CI)  P 
Anticoagulants  3.212  24.83 (1.95–315.48)  0.013 
HG2.7ml/h  1.688  5.41 (2.46–11.90)  <0.001 
GCS1.364  3.91 (1.63–9.40)  0.002 
D-Dimer0.65mg/l  0.633  1.88 (0.96–3.71)  0.068 
Potassium3.1mmol/l  0.705  2.02 (0.81–5.03)  0.130 
NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more  1.471  4.35 (2.24–8.46)  <0.001 

GCS, Glasgow Coma Scale; ICH, intracerebral hemorrhage; NCCT, non-contrast CT; HG, hematoma growth; OR, odds ratio; CI, confidence interval.

Proposal of prediction score and preliminary validation

The independent risk factors were included in the model, and score was created based on the parameter estimates (β coefficients), as shown in Table 3. Further, the area under ROC curve was 0.854, 95% CI (0.803–0.904), P<0.001, in the development cohort compared with 0.893, 95% CI (0.816–0.970), P<0.001, in the validation cohort. Calibration plot is shown in Fig. 3, the maximum deviation (Emax), average deviation (Eavg) and P value of the score were 0.070, 0.028,0.773 in the development cohort, 0.114,0.056,0.156 in the validation cohort, respectively. Hosmer–Lemeshow goodness-of-fit test presented χ2=0.826, P=0.662 in the development cohort compared with χ2=6.106, P=0.107 in the validation cohort. In Fig. 4, DCA curves of score from two samples were both far from curve of treat all and curve of treat none, with a wide range of optional threshold probability and a high net benefit. In general, the incidence of HE increased with higher scores. When 4.5 was chosen as the cutoff value to dichotomize the score, the rate of HE in high risk group (score4.5) was 66.3% from development cohort compared with 60.0% from validation cohort, more details were demonstrated in Table 4.

Table 3.

Prediction score of HE in ICH.

Variables  Points 
GCS
HG2.7ml/h  2.5 
NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more 
Anticoagulants  4.5 
Total  0–11 

GCS, Glasgow Coma Scale; HE, hematoma expansion; ICH, intracerebral hemorrhage; NCCT, non-contrast CT; HG, hematoma growth.

Figure 3.

Calibration plot of the score. Emax, maximum deviation of probability; Eavg, average deviation of probability.

(0.16MB).
Figure 4.

Decision curve analysis of the score. Curves of score from two samples were both far from curve of treat all and curve of treat none, with a wide range of optional threshold probability and a high net benefit.

(0.15MB).
Table 4.

The proportion of patients experiencing HE by score.

  Development cohortHematoma expansion (%, nValidation cohortHematoma expansion (%, n
Score
6.2 (8/130)  2.5 (1/40) 
8.7 (2/23)  12.5 (1/8) 
2.5  15.9 (10/63)  11.5 (3/26) 
4.5  56.1 (37/66)  31.6 (6/19) 
6.5  82.1 (23/28)  92.3 (12/13) 
≥7  100 (7/7)  100 (3/3) 
Dichotomized
<4.5  9.3 (20/216)  6.8 (5/74) 
≥4.5  66.3 (67/101)  60.0 (21/35) 
When score ≥4.5
Sensitivity  0.77  0.81 
Specificity  0.85  0.83 
Positive predictive value  0.66  0.60 
Negative predictive value  0.91  0.93 
Overall accuracy  0.83  0.83 
Discussion

We proposed and validated a novel HE score using two large spontaneous ICH cohorts. The score included 4 items: the history of anticoagulants, HG2.7ml/h, GCS8, and NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more, with a total score ranging from 0 to 11. In previous study,5–11 most of the evaluation methods were comparatively simple. Wielding DCA to assess the clinical utility were rare, which lead to the overlook of harm caused by false negative. In contrast, our study was the first to systematically evaluate the score in multiple dimensions (discrimination, accuracy, clinical utility). The score was divided into the high-risk group and the low-risk group by the cut-off value of 4.5, because the incidence of HE at this point was significantly higher than the average one. It is worth mentioning that no patients with a score of 4 were found, due to the fact that NCCT signs and low GCS scores were more likely to occur when hematomas were large. When the above two coexist, there was a high probability that HG2.7ml/h. The specificity of score were 0.85 (development cohort) and 0.83 (validation cohort), which may help the clinical trials focused on hemostatic drugs screen out the groups that benefit most from HE targeted intervention. In comparison with nomogram, the score is simple in form and content, quick in calculation, and combines imaging features with laboratory examination, allowing clinicians to make individualized treatments with limited information.

Veltkamp12 pointed out that the history of antiplatelets was negatively correlated with the prognosis of neurological function, but it's relationship with HE was highly controversial. In our case, the history of anticoagulants was an independent risk factor for HE while the history of antiplatelets was not. The differences may be attributed to the definition of hematoma enlargement, sample size, or demographic factors. Recently, computed tomography angiography (CTA) spot sign has been externally verified and considered as a potential risk factor for HE and poor prognosis, which has been recommended by the relevant American guidelines. However, in the ATACH-II clinical trial,13 >80% of the subjects were not examined by CTA and discrimination of CTA spot sign failed to meet expected theoretical level. In addition, emergency CTA is unavailable in some primary hospitals in Asia. Apart from the problems of allergy and renal insufficiency, spot sign should be distinguished from false positive, such as oligodendroglioma and moyamoya disease. Besides, a randomized clinical trial (SPOTLIGHT)14 using CTA spot sign for hemostasis was prematurely terminated due to low enrollment rates. In contrast, NCCT is the gold standard for the diagnosis of ICH, with strong universality and simple operation. It highlights the value in clinical trials by improving patient compliance and thus increases the enrollment. In our study, NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more was actually a novel quantification of the degree of hematoma heterogeneity, which overcame subjectivity to a certain extent and improved the reliability of prediction. Miyahara5 thought these signs may have undergone similar pathophysiological processes: active bleeding caused by secondary vascular rupture in different phases (avalanche effect). Veltkamp12 reported that edema was an independent risk factor for HE while niveau formation was not, which contradicted our study. The reason may be that it was difficult to identify when different NCCT signs coexist and overlapped. Another possibility was the lack of standardized training for observers. Recently, Li15 found out low GCS score was one of the key predictors of HE (P<0.001). Sakuta9 suggested that compared with GCS, NIHSS may better reflect the degree of mild or moderate neurological impairment. It is indicated that GCS and NIHSS could be complementary according to patients’ conditions, though the deep connection between the above two needs to be further clarified.

Previous scores5–11 have been published, most of which contained NCCT signs, but all were single signs. Zhang16 concluded in meta-analysis that it was not recommended to use separate NCCT signs to assess the risk of HE in routine clinical practice. Considering the complexity of actual clinical work, our study optimized and improved the single sign to NCCT signs (island sign, black hole sign, blend sign, niveau formation) exist one or more, so as to maximize the clinical information reflected in the limited scoring items. The reasonable infer of the possible mechanism is that, if there are multiple NCCT signs, it implies that there may be multiple bleeding spots around the hematoma, so the risk of HE will also increase. Although some literatures9,12 believed that HE peaked within 6h from the onset, the shorter the time from the onset to the first CT scan, the more likely HE will be detected. Given that patients with mild symptoms tend to delay hospitalization, to increase the enrolled population and make the score more widely applicable, we set the enrollment standard as 24h. The BAT score7 set the time window as 6h from the onset to the first CT scan; the HEP score8 was 12h; the 9 score10 and the NAG score9 were both 24h, consistent with our study. Brouwers10 enrolled more patients with initial hematoma volume >30ml, which was similar to the development cohort of our score from senior medical center. Consistent with the validation cohort of our score, Sakuta9 reported that the majority of the study population had mild symptoms, suggesting that different models may be compatible according to different clinical characteristics. Although the NAG score9 was simpler and more portable, it did not include imaging data. Since CT is the gold standard for the diagnosis of cerebral hemorrhage, its reliability needs to be further verified. Moreover, emergency blood glucose test is not a routine project in several medical institutions, which also limits its clinical application. The HEAVN score5 reckoned as useful in prediction of HE and neural function prognosis. However, the score was slightly complicated and added more subjective items, which required more clinical data to support and brought about deviations to the objective reflection of the disease. In addition, BRAIN score11 derived from the 9-point score also had the same problems, which was not conducive to make decision of clinical strategies rapidly.

Of course, our study had some limitations. 1. The results obtained from the Chinese population were of limited generalizability to other ethnic groups and lack prospective validation. 2. Retrospective study inherently increased the risk of selection bias and the number of patients was smaller in the validation cohort than the development cohort. 3. The time from onset to initial CT scan was sometimes imprecise or even unknown (wake-up strokes). Confounding factors such as scanning machine types and scanning parameters were usually variable. 4. Patients who received initial CT scan later may have developed HE but failed to be detected, which will affect the proportion of HE occurrence. 5. The definition of HE was based on neuroimaging, so the clear relationship between score and functional prognosis was not clarified. 6. A small number of patients were excluded from the study due to early death, abandonment of treatment or emergency surgery. This group was considered to have the highest incidence of HE, excluding them contributed to underestimate its real performance. 7. Given the imparity of academic level of hospitals, patients suffering severe symptoms were more common in development cohort than in the validation cohort, which means the difference of patients’ composition might affect the performance of the score.

Conclusion

Via preliminarily validated externally, our score may provide some references and help for accurately identifying high-risk individuals of HE, swift guiding clinical treatments and also serving clinical trials. But prospective validation is required before score could be applied to routine clinical work.

Authors’ contributions

XYK study concept and design, analysis and interpretation of data, drafting of the manuscript. WQ acquisition of data, analysis and interpretation of data, drafting of the manuscript. JD acquisition of data, analysis and interpretation of data and revision of the drafting of the manuscript. ZYQ obtaining funding, study concept and design, study supervision or coordination, revision of the drafting of the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by the Technology Development Project of Soochow (SYSD2018102) and Postgraduate Practice Innovation Program of Jiangsu Province (SJCX18_0855).

The fund body took no part in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Conflict of interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Acknowledgements

The authors thank the participants and all who were involved in our study.

References
[1]
G.F. Wang, Y.X. Kang, T.T. Cang, J.K. Xu, X.L. Xu, Y. Zhao, et al.
Associations of low triiodothyronine syndrome and Glasgow coma scale scores with mortalities and recurrence in hypertensive intracerebral hemorrhage.
Chin J Neuromed, 17 (2018), pp. 699-704
[2]
W.N. Whiteley, J. Emberson, K.R. Lees, L. Blackwell, G. Albers.
Risk of intracerebral haemorrhage with alteplase after acute ischaemic stroke: a secondary analysis of an individual patient data meta-analysis.
Lancet Neurol, 15 (2016), pp. 925-933
[3]
Q.W. Zhou, M. Liu, S.D. Xi, B.Q. Xu, J.J. Chen, J.R. Dong, et al.
Clinical outcomes of endoscopic and microsurgical treatments in patients with hypertensive basal ganglia hemorrhage.
Chin J Neuromed, 17 (2018), pp. 301-305
[4]
E.M. Liotta, S. Prabhakaran, R.S. Sangha, R.A. Bush, A.E. Long, S.A. Trevick, et al.
Magnesium, hemostasis, and outcomes in patients with intracerebral hemorrhage.
Neurology, 89 (2017), pp. 813-819
[5]
M. Miyahara, R. Noda, S. Yamaguchi, Y. Tamai, M. Inoue, K. Okamoto, et al.
New prediction score for hematoma expansion and neurological deterioration after spontaneous intracerebral hemorrhage: a hospital-based retrospective cohort study.
J Stroke Cerebrovasc Dis, 27 (2018), pp. 2543-2550
[6]
Y.W. Huang, Q. Zhang, M.F. Yang.
A reliable grading system for prediction of hematoma expansion in intracerebral hemorrhage in the basal ganglia.
Biosci Trends, 12 (2018), pp. 193-200
[7]
A. Morotti, D. Dowlatshahi, G. Boulouis, F. Al-Ajlan, A.M. Demchuk, R.I. Aviv, et al.
Predicting intracerebral hemorrhage expansion with noncontrast computed tomography: the BAT score.
Stroke, 49 (2018), pp. 1163-1169
[8]
X.Y. Yao, Y. Xu, E. Siwila-Sackman, B. Wu, M. Selim.
The HEP score: a nomogram-derived hematoma expansion prediction scale.
Neurocrit Care, 23 (2015), pp. 179-187
[9]
K. Sakuta, T. Sato, T. Komatsu, K. Sakai, Y. Terasawa, H. Mitsumura, et al.
The NAG scale: noble predictive scale for hematoma expansion in intracerebral hemorrhage.
J Stroke Cerebrovasc Dis, 27 (2018), pp. 2606-2612
[10]
H.B. Brouwers, Y. Chang, G.J. Falcone, X. Cai, A.M. Ayres, T.W.K. Battey, et al.
Predicting hematoma expansion after primary intracerebral hemorrhage.
JAMA Neurol, 71 (2014), pp. 158-164
[11]
X. Wang, H. Arima, R. Al-Shahi Salman, M. Woodward, E. Heeley, C. Stapf, et al.
Clinical prediction algorithm (BRAIN) to determine risk of hematoma growth in acute intracerebral hemorrhage.
Stroke, 46 (2015), pp. 376-381
[12]
R. Veltkamp, J. Purrucker.
Management of spontaneous intracerebral hemorrhage.
Curr Neurol Neurosci Rep, 17 (2017), pp. 80
[13]
A.M. Demchuk, D. Dowlatshahi, D. Rodriguez-Luna, C.A. Molina, Y.S. Blas, I. Dzialowski, et al.
Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study.
Lancet Neurol, 11 (2012), pp. 307-314
[14]
T.J. Huynh, R.I. Aviv, D. Dowlatshahi, D.J. Gladstone, A. Laupacis, A. Kiss, et al.
Validation of the 9-point and 24-point hematoma expansion prediction scores and derivation of the PREDICT A/B scores.
Stroke, 46 (2015), pp. 3105-3110
[15]
Q. Li, Q.J. Liu, W.S. Yang, X.C. Wang, L.B. Zhao, X. Xiong, et al.
Island sign: an imaging predictor for early hematoma expansion and poor outcome in patients with intracerebral hemorrhage.
Stroke, 48 (2017), pp. 3019-3025
[16]
D.F. Zhang, J.G. Chen, Q. Xue, B.Y. Du, Y. Li, T. Chen, et al.
Heterogeneity signs on noncontrast computed tomography predict hematoma expansion after intracerebral hemorrhage: a meta-analysis.
Biomed Res Int, 10 (2018), pp. 1-9
Copyright © 2019. The Author(s)
Download PDF
Idiomas
Medicina Intensiva (English Edition)
Article options
Tools
es en

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?