was read the article
array:24 [ "pii" => "S2173572713000052" "issn" => "21735727" "doi" => "10.1016/j.medine.2013.01.003" "estado" => "S300" "fechaPublicacion" => "2013-01-01" "aid" => "502" "copyright" => "Elsevier España, S.L. and SEMICYUC" "copyrightAnyo" => "2012" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Intensiva. 2013;37:12-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2646 "formatos" => array:3 [ "EPUB" => 130 "HTML" => 1822 "PDF" => 694 ] ] "Traduccion" => array:1 [ "es" => array:19 [ "pii" => "S0210569112002446" "issn" => "02105691" "doi" => "10.1016/j.medin.2012.08.006" "estado" => "S300" "fechaPublicacion" => "2013-01-01" "aid" => "502" "copyright" => "Elsevier España, S.L. and SEMICYUC" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Intensiva. 2013;37:12-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 11866 "formatos" => array:3 [ "EPUB" => 172 "HTML" => 7571 "PDF" => 4123 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Proyecto UCI sin paredes. Efecto de la detección precoz de los pacientes de riesgo" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "12" "paginaFinal" => "18" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "ICU without walls project. Effect of the early detection of patients at risk" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1250 "Ancho" => 2340 "Tamanyo" => 135720 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Pacientes intervenidos.</span> De los pacientes del grupo «actividad extra-UCI» detectados a través del programa informático, tras descartar de las 1.162 analíticas las procedentes de pediatría y de UCI, se revisaron las historias clínicas de 580 pacientes, interviniendo finalmente en 147. A estos se suman 6 pacientes detectados por el intensivista en la guardia del día anterior y 14 comentados por los interlocutores de las otras especialidades. Del grupo «seguimiento post-UCI» se hizo seguimiento a 35 pacientes que se consideraron a riesgo de mala evolución clínica.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "A. Abella Álvarez, I. Torrejón Pérez, V. Enciso Calderón, C. Hermosa Gelbard, J.J. Sicilia Urban, M. Ruiz Grinspan, M.Á. García Ureña, I. Salinas Gabiña, T. Mozo Martín, E. Calvo Herranz, M. Díaz Blázquez, F. Gordo Vidal" "autores" => array:12 [ 0 => array:2 [ "nombre" => "A." "apellidos" => "Abella Álvarez" ] 1 => array:2 [ "nombre" => "I." "apellidos" => "Torrejón Pérez" ] 2 => array:2 [ "nombre" => "V." "apellidos" => "Enciso Calderón" ] 3 => array:2 [ "nombre" => "C." "apellidos" => "Hermosa Gelbard" ] 4 => array:2 [ "nombre" => "J.J." "apellidos" => "Sicilia Urban" ] 5 => array:2 [ "nombre" => "M." "apellidos" => "Ruiz Grinspan" ] 6 => array:2 [ "nombre" => "M.Á." "apellidos" => "García Ureña" ] 7 => array:2 [ "nombre" => "I." "apellidos" => "Salinas Gabiña" ] 8 => array:2 [ "nombre" => "T." "apellidos" => "Mozo Martín" ] 9 => array:2 [ "nombre" => "E." "apellidos" => "Calvo Herranz" ] 10 => array:2 [ "nombre" => "M." "apellidos" => "Díaz Blázquez" ] 11 => array:2 [ "nombre" => "F." "apellidos" => "Gordo Vidal" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2173572713000052" "doi" => "10.1016/j.medine.2013.01.003" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572713000052?idApp=WMIE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210569112002446?idApp=WMIE" "url" => "/02105691/0000003700000001/v2_201301251203/S0210569112002446/v2_201301251203/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2173572713000027" "issn" => "21735727" "doi" => "10.1016/j.medine.2013.01.001" "estado" => "S300" "fechaPublicacion" => "2013-01-01" "aid" => "457" "copyright" => "Elsevier España, S.L. and SEMICYUC" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Intensiva. 2013;37:19-26" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 1908 "formatos" => array:3 [ "EPUB" => 135 "HTML" => 1215 "PDF" => 558 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Application of Medical Information Systems for the detection of high risk patients: Rapid care alerts. Pilot study of the RCA-Son Llàtzer Project" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "19" "paginaFinal" => "26" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Aplicación de las Técnicas de Información y Comunicación para la detección de pacientes de alto riesgo: alarmas de rápida asistencia. Estudio piloto del Proyecto ARA-Son Llàtzer" ] ] "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" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1559 "Ancho" => 2499 "Tamanyo" => 383861 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Information system network.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "L. Socías Crespí, G. Heras La Calle, V.M. Estrada Rodríguez, A. García Sánchez, P. Ibáñez-Lucía" "autores" => array:5 [ 0 => array:2 [ "nombre" => "L." "apellidos" => "Socías Crespí" ] 1 => array:2 [ "nombre" => "G." "apellidos" => "Heras La Calle" ] 2 => array:2 [ "nombre" => "V.M." "apellidos" => "Estrada Rodríguez" ] 3 => array:2 [ "nombre" => "A." "apellidos" => "García Sánchez" ] 4 => array:2 [ "nombre" => "P." "apellidos" => "Ibáñez-Lucía" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210569112001532" "doi" => "10.1016/j.medin.2012.04.001" "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/S0210569112001532?idApp=WMIE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572713000027?idApp=WMIE" "url" => "/21735727/0000003700000001/v1_201302200137/S2173572713000027/v1_201302200137/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S2173572713000039" "issn" => "21735727" "doi" => "10.1016/j.medine.2013.01.002" "estado" => "S300" "fechaPublicacion" => "2013-01-01" "aid" => "470" "copyright" => "Elsevier España, S.L. and SEMICYUC" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Med Intensiva. 2013;37:6-11" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2417 "formatos" => array:3 [ "EPUB" => 160 "HTML" => 1664 "PDF" => 593 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Alcohol and/or drug abuse favors trauma recurrence and reduces the trauma-free period" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "6" "paginaFinal" => "11" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El consumo de alcohol y/o drogas favorece la reincidencia en el traumatismo y reduce el período sin traumatismos" ] ] "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" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1109 "Ancho" => 1440 "Tamanyo" => 72511 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Age in years (median and standard deviation) of the 60 non-recurrent patients at the time of first traumatism, according to the presence/absence of alcohol or drugs of abuse.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "S. Cordovilla Guardia, S. Rodríguez-Bolaños, F. Guerrero López, R. Lara-Rosales, F. Pino Sánchez, A. Rayo, E. Fernández-Mondéjar" "autores" => array:7 [ 0 => array:2 [ "nombre" => "S." "apellidos" => "Cordovilla Guardia" ] 1 => array:2 [ "nombre" => "S." "apellidos" => "Rodríguez-Bolaños" ] 2 => array:2 [ "nombre" => "F." "apellidos" => "Guerrero López" ] 3 => array:2 [ "nombre" => "R." "apellidos" => "Lara-Rosales" ] 4 => array:2 [ "nombre" => "F." "apellidos" => "Pino Sánchez" ] 5 => array:2 [ "nombre" => "A." "apellidos" => "Rayo" ] 6 => array:2 [ "nombre" => "E." "apellidos" => "Fernández-Mondéjar" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210569112001830" "doi" => "10.1016/j.medin.2012.04.010" "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/S0210569112001830?idApp=WMIE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572713000039?idApp=WMIE" "url" => "/21735727/0000003700000001/v1_201302200137/S2173572713000039/v1_201302200137/en/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "ICU without walls project. Effect of the early detection of patients at risk" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "12" "paginaFinal" => "18" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "A. Abella Álvarez, I. Torrejón Pérez, V. Enciso Calderón, C. Hermosa Gelbard, J.J. Sicilia Urban, M. Ruiz Grinspan, M.Á. García Ureña, I. Salinas Gabiña, T. Mozo Martín, E. Calvo Herranz, M. Díaz Blázquez, F. Gordo Vidal" "autores" => array:12 [ 0 => array:3 [ "nombre" => "A." "apellidos" => "Abella Álvarez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "I." "apellidos" => "Torrejón Pérez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "V." "apellidos" => "Enciso Calderón" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "C." "apellidos" => "Hermosa Gelbard" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "J.J." "apellidos" => "Sicilia Urban" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "M." "apellidos" => "Ruiz Grinspan" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 6 => array:3 [ "nombre" => "M.Á." "apellidos" => "García Ureña" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 7 => array:3 [ "nombre" => "I." "apellidos" => "Salinas Gabiña" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 8 => array:3 [ "nombre" => "T." "apellidos" => "Mozo Martín" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 9 => array:3 [ "nombre" => "E." "apellidos" => "Calvo Herranz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 10 => array:3 [ "nombre" => "M." "apellidos" => "Díaz Blázquez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 11 => array:4 [ "nombre" => "F." "apellidos" => "Gordo Vidal" "email" => array:1 [ 0 => "fgordo5@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">¿</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Servicio de Medicina Intensiva, Hospital Universitario del Henares, Coslada, Madrid, Spain" "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Medicina Interna, Hospital Universitario del Henares, Coslada, Madrid, Spain" "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio de Urgencias, Hospital Universitario del Henares, Coslada, Madrid, Spain" "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Servicio de Cirugía General, Hospital Universitario del Henares, Coslada, Madrid, Spain" "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Proyecto UCI sin paredes. Efecto de la detección precoz de los pacientes de riesgo" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1248 "Ancho" => 2337 "Tamanyo" => 124955 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Patients intervened. Of the patients in the “out-ICU activity” group detected by the software system, and after discarding from the 1162 laboratory tests those corresponding to pediatrics and the ICU, we reviewed the clinical records of 580 patients, with final intervention in 147 cases. To these we added 6 patients detected by the intensivist on duty the day before, and 14 cases commented by the other specialists. In the “post-ICU follow-up” group, follow-up was made of 35 patients considered to be at risk of presenting a poor clinical course.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The aim of Intensive Care Medicine and of the Intensive Care Unit (ICU) is to offer critically ill patients quality treatment adjusted to their needs, and in the safest manner possible.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> In the United States, it is considered that over one-half of the population will require admission to the ICU at some point in life, and that an important percentage of individuals will die in such Units, consuming between 0.5 and 1% of the gross domestic product.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">A broad and more balanced hospital perspective is needed for the treatment of patients at risk, classifying them according to the required level of care and not according to where they happen to be located. Hospitalization of the seriously ill patient should be regarded as continuous from before to after admission to the ICU.<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Delays in the treatment of hospitalized patients often result in emergency admission to the ICU, which in turn implies a prolongation of hospital stay and even increased mortality.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> It has been estimated that over 50% of hospitalized patients failed to receive optimum management before admission to the ICU, and that 40% of all admissions to the Unit are in fact avoidable.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> On the other hand, delays in admission to the ICU – mainly due to a limitation or shortage of available beds – has been associated to mortality, as described by Cardoso et al.,<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> who reported a 1.5% and 1% mortality increase in the ICU and in hospital, respectively, for every hour of delayed admission. On considering those patients who after discharge from the ICU require subsequent readmission to the Unit because of clinical worsening, mortality in the ICU and the duration of hospital stay increase 4- and 2.5-fold, respectively.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">It must be taken into account that life-threatening situations are usually preceded by physiopathological alterations that are detectable and avoidable. This is particularly relevant in the case of the so-called “time-dependent” diseases such as sepsis, acute coronary syndrome and cardiac arrest.<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9–12</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">On the basis of these premises, we raised the hypothesis that management of the seriously ill patient, while centered on the ICU, can be extended beyond the Unit, constituting a continuous process throughout the duration of patient hospital stay. Any change within the process can have a positive impact upon patient outcome. The aim of this study was to describe a system designed to allow early detection and intervention in patients at risk outside the ICU and to evaluate its repercussions upon the course of those patients admitted to Intensive Care and upon the number of cases of in-hospital cardiac arrest.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Patients and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Study setting</span><p id="par0030" class="elsevierStylePara elsevierViewall">The study was carried out in a 210-bed second level hospital in the Community of Madrid (Spain), with a polyvalent adult clinical–surgical ICU (8 beds). The hospital is fully digitalized with a common electronic clinical record (Selene<span class="elsevierStyleSup">®</span>) and data exploitation software (Datawarehouse<span class="elsevierStyleSup">®</span>).</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">During the intervention period, on working days, one of the intensivists reviews each of the patients meeting the inclusion criteria based on the electronic clinical record in Selene<span class="elsevierStyleSup">®</span>, and decides whether intervention is needed or not. Posteriorly, together with the physician in charge of the patient, the required level of care is decided, and the subsequent actions are defined.</p><p id="par0040" class="elsevierStylePara elsevierViewall">From our information system, linked to the laboratory test managing program, a daily download is produced of all the laboratory test data requested in the hospital during the previous 24<span class="elsevierStyleHsp" style=""></span>h. This database is in turn processed by customized software designed to identify all those test parameter values that exceed certain predefined limits. In this way we obtain a form with the altered parameter, the time of extraction and its value, and relate the information to the patient and his or her location. The selected laboratory test parameters are troponin I<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.3<span class="elsevierStyleHsp" style=""></span>μg/l, pH<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>7.30, pCO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>mmHg, platelets<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>100,000/μl, and lactate<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>3<span class="elsevierStyleHsp" style=""></span>mmol/l. These values were predefined by the investigators in order to identify patients with incipient organ damage, fundamentally in the context of sepsis, respiratory failure and myocardial damage.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Patients</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Inclusion criteria</span><p id="par0045" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1.</span><p id="par0050" class="elsevierStylePara elsevierViewall">Patients with laboratory test alterations detected by means of the software.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2.</span><p id="par0055" class="elsevierStylePara elsevierViewall">Patients at risk of a poor clinical course in accordance with the criterion of other specialists.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3.</span><p id="par0060" class="elsevierStylePara elsevierViewall">Patients evaluated the previous day by the intensivist on duty, and who are regarded by the latter as requiring follow-up but without the need for admission to the ICU at that time.</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">4.</span><p id="par0065" class="elsevierStylePara elsevierViewall">Patients discharged from the ICU and who meet some of the following criteria and are regarded by the intensivist supervising discharge as requiring follow-up: laboratory test alteration, prolonged stay in the ICU, tracheostomy (performed in the ICU), noninvasive mechanical ventilation (started in the ICU), comorbidity or request on the part of the receiving physician.</p></li></ul></p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Exclusion criteria</span><p id="par0070" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">1.</span><p id="par0075" class="elsevierStylePara elsevierViewall">Patients with explicit life support limitation (LSL) instructions.</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">2.</span><p id="par0080" class="elsevierStylePara elsevierViewall">Patients considered to have terminal disease, subjected to palliative care.</p></li><li class="elsevierStyleListItem" id="lsti0035"><span class="elsevierStyleLabel">3.</span><p id="par0085" class="elsevierStylePara elsevierViewall">Pediatric patients.</p></li></ul></p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Interventions</span><p id="par0090" class="elsevierStylePara elsevierViewall">The interventions among the included patients comprise the following:<ul class="elsevierStyleList" id="lis0015"><li class="elsevierStyleListItem" id="lsti0040"><span class="elsevierStyleLabel">1.</span><p id="par0095" class="elsevierStylePara elsevierViewall">Confirmation of patient stability and good evolution, without the need for further actions.</p></li><li class="elsevierStyleListItem" id="lsti0045"><span class="elsevierStyleLabel">2.</span><p id="par0100" class="elsevierStylePara elsevierViewall">Participation in LSL decision.</p></li><li class="elsevierStyleListItem" id="lsti0050"><span class="elsevierStyleLabel">3.</span><p id="par0105" class="elsevierStylePara elsevierViewall">Diagnostic reorientation.</p></li><li class="elsevierStyleListItem" id="lsti0055"><span class="elsevierStyleLabel">4.</span><p id="par0110" class="elsevierStylePara elsevierViewall">Intensification or adjustment of therapeutic measures.</p></li><li class="elsevierStyleListItem" id="lsti0060"><span class="elsevierStyleLabel">5.</span><p id="par0115" class="elsevierStylePara elsevierViewall">Close follow-up over the subsequent hours and clinical evaluation in the course of duty on the day of detection.</p></li><li class="elsevierStyleListItem" id="lsti0065"><span class="elsevierStyleLabel">6.</span><p id="par0120" class="elsevierStylePara elsevierViewall">Early admission to the ICU or readmission to the unit.</p></li></ul></p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Study design</span><p id="par0125" class="elsevierStylePara elsevierViewall">The study consisted of two parts:<ul class="elsevierStyleList" id="lis0020"><li class="elsevierStyleListItem" id="lsti0070"><span class="elsevierStyleLabel">1.</span><p id="par0130" class="elsevierStylePara elsevierViewall">A descriptive study covering the period between July 2011 and January 2012, when the aforementioned technological solution was adopted, allowing the analysis of laboratory test data throughout the hospital, with collaboration among the different specialties and duty follow-up.</p></li><li class="elsevierStyleListItem" id="lsti0075"><span class="elsevierStyleLabel">2.</span><p id="par0135" class="elsevierStylePara elsevierViewall">A quasi-experimental “before-after” study comparing the periods before and after introduction of the software system. The corresponding control period was the above-mentioned preceding interval between July 2011 and January 2012.</p></li></ul></p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Statistical analysis</span><p id="par0140" class="elsevierStylePara elsevierViewall">The statistical analysis was carried out using the G-STAT 2.0.1<span class="elsevierStyleSup">®</span> package. The normal or non-normal distribution of quantitative variables was evaluated using the Kolmogorov–Smirnov test. These variables are reported as the mean and range as dispersion measure, or as the mean and standard deviation. Qualitative variables in turn are expressed as frequencies and percentages.</p><p id="par0145" class="elsevierStylePara elsevierViewall">The comparison of qualitative variables was carried out with the chi-squared test. The comparison of quantitative variables in turn was carried out using the Student's <span class="elsevierStyleItalic">t</span>-test in the presence of a normal distribution, or the Mann–Whitney <span class="elsevierStyleItalic">U</span>-test in the case of a non-normal distribution. The data are reported as the mean and standard deviation.</p><p id="par0150" class="elsevierStylePara elsevierViewall">Risk association was assessed using multivariate analysis, and introducing all the studied variables which could be clinically related to survival. Statistical significance was considered for <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 in all cases.</p><p id="par0155" class="elsevierStylePara elsevierViewall">Since the patients presented different characteristics, improved understanding of the data was ensured by establishing two groups: a first “out-ICU activity” group including the patients detected by the software system, those identified by the intensivist on duty, and those commented by the rest of the specialists; and a second “post-ICU follow-up” group comprising the patients subjected to follow-up after discharge from the ICU. The study was approved by the research ethics committee.</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Results</span><p id="par0160" class="elsevierStylePara elsevierViewall">The hospitalized patients included in the intervention period are described in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. <a class="elsevierStyleCrossRefs" href="#tbl0005">Tables 1 and 2</a> respectively show the demographic variables of the patients in the “out-ICU activity” and “post-ICU follow-up” groups.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0165" class="elsevierStylePara elsevierViewall">Of the detected patients in the “out-ICU activity” group, the majority (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>108; 65%) came from the Emergency Care area, followed by the clinical ward (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>55; 33%) and the surgery and resuscitation ward (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4; 3%). Of the total interventions (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>233) in this group, 45% consisted of medical assessment without any further actions, thereby confirming the stability of the patient; 18% comprised participation in consensus-based LSL decisions; 12% consisted of close patient monitoring over the subsequent hours in the course of duty on the day of detection; 14% involved diagnostic reorientation with the physician in charge of the patient; 8% comprised intensification or adjustment of the therapeutic measures; and 3% (6 patients) involved early admission to the ICU.</p><p id="par0170" class="elsevierStylePara elsevierViewall">Of these intervened patients, 5 (3%) had been admitted to the ICU within the same process, and only four (2.4%) involved calling of the specialist on duty after the end of follow-up. The mean duration of follow-up was one day (range 1–6), with a mortality rate of 7.2%. In relation to the 12 patients who died, LSL had been decided previously between the family and the physician in 7 cases.</p><p id="par0175" class="elsevierStylePara elsevierViewall">Regarding the patients of the “post-ICU follow-up” group, with a total of 104 interventions, the most frequent action was medical assessment (46% of the cases), followed by diagnostic reorientation (26%), treatment adjustment (13%), and follow-up in the course of duty (12%). One patient was readmitted to the ICU during follow-up, LSL was agreed with the supervising physician in another case, and one patient was moved to another hospital because the required specialized care was not available in our center. The mean duration of follow-up was 3 days (range 1–11); the mean hospital stay after discharge from the ICU was 13 days (range 2–34); in-hospital mortality was 0%; and only one patient involved calling of the specialist on duty, with admission after the end of follow-up.</p><p id="par0180" class="elsevierStylePara elsevierViewall">The characteristics of the patients admitted to the ICU in the control period versus the intervention period are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>. The mortality rate predicted by the SAPS 3 (Simplified Acute Physiology Score) in both groups was 19%, while actual mortality in the ICU was 9% in the control period and 4% in the intervention period (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03). In the multivariate analysis (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>), with in-ICU mortality as the dependent variable, the two factors found to be significantly related to the mentioned variable were admission during the intervention period (OR 0.42 [95%CI: 0.18–0.98]) (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04) and the SAPS 3 score (OR 1.11 [95%CI: 1.07–1.14]) (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0185" class="elsevierStylePara elsevierViewall">The number of alerts due to in-hospital cardiac arrest in the control period was 10, versus three in the intervention period (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.07).</p><p id="par0190" class="elsevierStylePara elsevierViewall">In the intervention period we recorded a significant reduction in consultation calls (non-emergencies) to the intensivist on duty, compared with the control period (385 [70%] vs 361 [64%]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.02), with a significant increase in calls during the morning shift (220 [40%] vs 279 [49%]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005) and in the number of admissions to the ICU during the morning shift (96 [33%] vs 125 [42%]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01).</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discussion</span><p id="par0195" class="elsevierStylePara elsevierViewall">In the present study, “out-ICU activity” comprised direct intervention by the Department of Intensive Care Medicine in 167 patients – 97% of which were located in the Emergency Care area and conventional clinical wards. Only 6 of these patients (4%) required early admission to the ICU, with an in-hospital survival rate of 93%. On the other hand, “post-ICU follow-up” comprised intervention in 35 patients, and fundamentally affected surgical patients (66%). Of these patients, only one required readmission to the ICU after the end of follow-up, with an in-hospital survival rate of 100%.</p><p id="par0200" class="elsevierStylePara elsevierViewall">Regarding the quasi-experimental “before-after” study, the patients admitted to the ICU (with similar degrees of severity at the time of admission) showed a significant decrease in mortality–with far lower values in both study periods than predicted by the severity scores at the time of admission to the ICU. During the two mentioned periods there were no significant changes in patient care or in the protocols capable of explaining a change in mortality rate. This circumstance may represent a multifactorial effect related to better selection of the patients amenable to admission to the ICU, associated to an increased possibility of admission of elective surgical patients and an earlier admission of patients at risk. In order to confirm an association, however, we of course would need a larger sample size, and perhaps the conduction of a multicenter trial. In the case of in-hospital cardiac arrest, the observed decrease was clearly related to the mentioned activity.</p><p id="par0205" class="elsevierStylePara elsevierViewall">The aim of this project is to modify the work flow in the ICU, with improved programming of admissions, the reduction of cardiac arrest in the hospital, and improvements in efficiency and prognosis among the patients admitted to the ICU–thereby contributing to improve healthcare resource management. Such benefits are probably attributable to a decrease in emergency admissions due to delays in treatment and in delays in admission to the Unit because of a shortage of beds, which have been found to be associated to increased mortality and hospital stay.<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5–8,13</span></a></p><p id="par0210" class="elsevierStylePara elsevierViewall">We based the project design on the fact that life-threatening situations are usually preceded by detectable and preventable physiopathological alterations–this being particularly relevant in the case of the so-called “time-dependent” diseases such as sepsis, acute coronary syndrome and cardiac arrest.<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9–12</span></a> In this context, hospital rapid response teams have already been established with the same purpose of identifying patients at risk outside the ICU.<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14,15</span></a> In the United States, these teams form part of the “five million lives” campaign of the Institute for Healthcare Improvement, aimed at improving patient prognosis and reducing the number of deaths.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> “Code” type intervention systems have also been developed for clinical conditions such as sepsis, under the guidelines of the Surviving Sepsis Campaign,<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">17,18</span></a> infarction<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> or stroke,<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> and have demonstrated their effectiveness. To give us an idea of the impact of such measures upon resource utilization, we can consider the case of severe sepsis. Its annual incidence is 14.1 cases/10,000 inhabitants, with an overall mortality rate of 33% (with higher percentages in the case of more than one organ dysfunction, liver dysfunction or the presence of comorbidities). The mean hospital stay among such patients in our setting is 28.9 days, and the annual cost of severe sepsis care in the Community of Madrid alone totals 70 million euros.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a></p><p id="par0215" class="elsevierStylePara elsevierViewall">For the implementation of this project we made use of information technology, which improves patient care, as it has been shown by other studies (including the RIFLE study).<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">22–26</span></a> The software used allows the detection of altered laboratory test values–thereby expanding early detection and intervention to the entire hospital.</p><p id="par0220" class="elsevierStylePara elsevierViewall">The literature offers contradictory data on the usefulness of different systems for the early identification of patients at risk. Nevertheless, experience has been gained based on the creation of rapid response teams, involving different activation systems, which have been shown to offer benefit. In this sense, a recent systematic review of the literature has reported a 34% reduction in hospital cardiac arrest outside the ICU.<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The rapid response teams are evolving, with changes in the activation systems used, and involving the inclusion of laboratory test data.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a></p><p id="par0225" class="elsevierStylePara elsevierViewall">As limitations to our study, mention must be made of the fact that during the control period we in some way carried out activities outside the ICU, with daily reviews of the patients exclusively located in the Emergency Care observation area and the implementation of “code” type intervention systems such as the Sepsis Code, Acute Coronary Syndrome Code and Cardiopulmonary Resuscitation Code. However, such bias favors the control group, not the intervention group. On the other hand, the decision to intervene in the case of a patient meeting the inclusion criteria was left to the intensivist in charge of the activity that day–a situation that adds subjectiveness in relation to the selection of patients for intervention. Lastly, it must be taken into account that this was a non-randomized, single center study with a limited sample size.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conclusions</span><p id="par0230" class="elsevierStylePara elsevierViewall">The early detection of patients at risk outside the ICU can offer benefit in relation to the patients admitted to the ICU, and can result in fewer in-hospital cardiac arrests.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflicts of interest</span><p id="par0235" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:2 [ "identificador" => "xres30876" "titulo" => array:7 [ 0 => "Abstract" 1 => "Objectives" 2 => "Setting" 3 => "Methods" 4 => "Design" 5 => "Results" 6 => "Conclusions" ] ] 1 => array:2 [ "identificador" => "xpalclavsec25116" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres30875" "titulo" => array:7 [ 0 => "Resumen" 1 => "Objetivos" 2 => "Ámbito" 3 => "Métodos" 4 => "Diseño" 5 => "Resultados" 6 => "Conclusiones" ] ] 3 => array:2 [ "identificador" => "xpalclavsec25117" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Patients and methods" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study setting" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Methods" ] 2 => array:3 [ "identificador" => "sec0025" "titulo" => "Patients" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0030" "titulo" => "Inclusion criteria" ] 1 => array:2 [ "identificador" => "sec0035" "titulo" => "Exclusion criteria" ] ] ] 3 => array:2 [ "identificador" => "sec0040" "titulo" => "Interventions" ] 4 => array:2 [ "identificador" => "sec0045" "titulo" => "Study design" ] 5 => array:2 [ "identificador" => "sec0050" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0055" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0060" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0065" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2012-05-25" "fechaAceptado" => "2012-08-15" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec25116" "palabras" => array:7 [ 0 => "Intensive Care Unit" 1 => "Prognosis" 2 => "Mortality" 3 => "Management" 4 => "Intensive Care Medicine" 5 => "Technology" 6 => "Rapid response teams" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec25117" "palabras" => array:7 [ 0 => "Unidad de Cuidados Intensivos" 1 => "Pronóstico" 2 => "Mortalidad" 3 => "Gestión" 4 => "Medicina Intensiva" 5 => "Tecnología" 6 => "Equipos de respuesta rápida" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span class="elsevierStyleSectionTitle">Objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To describe and evaluate the impact of a system for early detection and intervention in patients at risk outside the ICU upon the outcome of patients admitted to the ICU and the number of cases of hospital cardiopulmonary arrest.</p> <span class="elsevierStyleSectionTitle">Setting</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A second-level hospital in the Community of Madrid (Spain) with electronic clinical histories.</p> <span class="elsevierStyleSectionTitle">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">An intensivist reviewed each of the patients meeting the inclusion criteria, and decided the need or not for intervention. Posteriorly, in collaboration with the physician supervising the patient, the needed level of care was decided, along with the subsequent management protocol.</p> <span class="elsevierStyleSectionTitle">Design</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A descriptive and quasi-experimental “before-after” study was made.</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">A total of 202 patients were intervened during the study period, with the inclusion of 147 patients after detecting altered laboratory test results through our software application. During the control period, the mortality rate in the ICU was 9%, versus 4.4% during the intervention period (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03). In the multivariate analysis, the two factors significantly related to mortality were admission during the intervention period (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.42; 95%CI: 0.18–0.98; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04) and SAPS 3 (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.11; 95%CI: 1.07–1.14; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). There were 10 cardiopulmonary arrest alerts during the control period, versus three in the intervention period (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.07).</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Early detection activities in patients at risk outside the ICU can have beneficial effects upon the patients admitted to the ICU, and can contribute to reduce the number of hospital cardiopulmonary arrests.</p>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span class="elsevierStyleSectionTitle">Objetivos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Describir y evaluar la repercusión de un sistema de detección e intervención precoz en pacientes de riesgo fuera de la UCI en la evolución de los pacientes ingresados en UCI y el número de paradas cardiorrespiratorias (PCR) hospitalarias.</p> <span class="elsevierStyleSectionTitle">Ámbito</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Hospital de nivel 2 en la Comunidad de Madrid con historia clínica electrónica.</p> <span class="elsevierStyleSectionTitle">Métodos</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Un intensivista revisa cada uno de los pacientes que cumplan los criterios de inclusión y decide la necesidad o no de intervención. Posteriormente, junto al médico a cargo del paciente, se determina cuál es el nivel de cuidados que necesita y se decide la pauta a seguir a continuación.</p> <span class="elsevierStyleSectionTitle">Diseño</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Estudio descriptivo y cuasi-experimental «before-after».</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">En el periodo de estudio se intervino en un total de 202 pacientes. Ciento cuarenta y siete fueron incluidos tras detectarse analíticas alteradas a través de nuestro programa informático. En el periodo de control la mortalidad en UCI fue 9 frente al 4,4% en el periodo de intervención (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,03). En el análisis multivariable, los 2 factores que guardaron relación significativa con la mortalidad fueron el haber ingresado durante el periodo de intervención OR 0,42 (IC95%; 0,18 a 0,98) (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,04) y el SAPS 3 OR 1,11 (IC95%; 1,07 a 1,14) (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05). El número de avisos por PCR en el periodo control fue 10 frente 3 en el periodo de intervención (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,07).</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">La actividad de detección precoz de pacientes en riesgo fuera de la UCI puede producir un efecto beneficioso sobre los pacientes ingresados en UCI así como una reducción de las PCR hospitalarias.</p>" ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara">Please cite this article as: Abella Álvarez A, et al. Proyecto UCI sin paredes. Efecto de la detección precoz de los pacientes de riesgo. Med Intensiva. 2013;37:12–8.</p>" ] ] "multimedia" => array:5 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1248 "Ancho" => 2337 "Tamanyo" => 124955 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Patients intervened. Of the patients in the “out-ICU activity” group detected by the software system, and after discarding from the 1162 laboratory tests those corresponding to pediatrics and the ICU, we reviewed the clinical records of 580 patients, with final intervention in 147 cases. To these we added 6 patients detected by the intensivist on duty the day before, and 14 cases commented by the other specialists. In the “post-ICU follow-up” group, follow-up was made of 35 patients considered to be at risk of presenting a poor clinical course.</p>" ] ] 1 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">SOFA, Sequential Organ Failure Assessment.</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=""><tbody title="tbody"><tr title="table-row"><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"><span class="elsevierStyleItalic">Age: mean (range)</span> \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">65.8 (15–92) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Female gender: n (%)</span> \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">81 (48.5%) \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="2" 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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Principal disease: n (%)</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Respiratory \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">46 (31%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sepsis \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">39 (26%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Gastrointestinal \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">16 (11%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiological \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">13 (9%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Neurological \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 (8%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Renal \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">10 (7%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hematological \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 (6%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Metabolic \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 (1%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Shock \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 (1%) \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="2" 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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Altered laboratory test parameter: n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>170 (% patients)</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Lactate \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">36 (24%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>pH \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 (21%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>pCO<span class="elsevierStyleInf">2</span> \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">40 (27%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Troponin \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 (16%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Platelets \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">39 (27%) \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="2" 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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Laboratory test value: mean (range)</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Lactate (mmol/l) \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">4.9 (3–12) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>pH \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">7.25 (7.08–7.29) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>pCO<span class="elsevierStyleInf">2</span> (mmHg) \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">70.5 (60–105) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Troponin (μg/l) \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">2.02 (0.34–12.2) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Platelets (/μl) \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">63,435 (3000–99,000) \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="2" 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SOFA score at time of detection: mean (range)</span> \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">3.3 (0–12) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab44828.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">“Out-ICU activity” demographic data.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">SAPS 3, Simplified Acute Physiology Score; ICU, Intensive Care Unit.</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=""><tbody title="tbody"><tr title="table-row"><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"><span class="elsevierStyleItalic">Mean age (range)</span> \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">61 (18–84) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Female gender: n (%)</span> \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 (31.4) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mean SAPS 3 score (range)</span> \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">50 (21–94) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Predicted mortality (%)</span> \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">19 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Stay in ICU (days): mean (range)</span> \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 (1–70) \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="2" 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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Disease admission to ICU</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Surgical \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">23 (66%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Clinical \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 (31%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Coronary \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 (3%) \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="2" 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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Reason for follow-up</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Comorbidity \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">19 (38%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Stay in ICU \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">14 (28%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Laboratory tests \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 (24%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Physician request \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 (8%) \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Non-invasive ventilation \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 (2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab44829.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">“Post-ICU follow-up” demographic data.</p>" ] ] 3 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">SD, standard deviation; SAPS, Simplified Acute Physiology Score.</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Standardized mortality index: actual mortality/mortality predicted by SAPS 3.</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"><td 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" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Control period \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Intervention period \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-Value \t\t\t\t\t\t\n \t\t\t\t</td></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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Admissions to the ICU: n</span> \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">292 \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">296 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age: mean (range)</span> \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 (14–89) \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">63 (15–94) \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">0.052 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Female gender: n (%)</span> \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">113 (39%) \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">105 (35%) \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">0.41 \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="4" 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Origin admission: n (%)</span> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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">0.19 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Emergency \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">186 (60%) \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">167 (56%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Surgery \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">75 (26%) \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">95 (32%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ward \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 (8%) \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">22 (7%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Transfer \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">7 (2%) \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(4%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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="4" 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Type of patients: n (%)</span> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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">0.26 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Clinical \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">210 (72%) \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">200 (68%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Elective surgery \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">45 (15%) \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">61 (21%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Emergency surgery \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">36 (12%) \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">34 (12%) \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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="4" 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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SAPS 3 score: mean (SD)</span> \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">51 (14) \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">50 (14) \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">0.36 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mean stay ICU: mean (SD)</span> \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">4.2 (6.6) \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">3.9 (5.3) \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">0.9 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mean stay hospital: mean (SD)</span> \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">6.1 (6.6) \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">5.8 (5.8) \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">0.85 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Readmissions to ICU</span> \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 (1%) \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 (1%) \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">0.55 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mortality in ICU: n (%)</span> \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">26 (9%) \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">13 (4%) \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">0.03 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Hospital mortality: n (%)</span> \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">29 (10%) \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">23 (7%) \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">0.29 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Standardized mortality index</span> \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">0.52 \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">0.39 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab44827.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Characteristics and evolution of the patients admitted to the ICU.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">SAPS, Simplified Acute Physiology Score.</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"><td 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" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">OR \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">95%CI \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-Value \t\t\t\t\t\t\n \t\t\t\t</td></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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Intervention period \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">0.42 \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">(0.18–0.98) \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">0.04 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SAPS 3 \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">1.11 \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">(1.07–1.14) \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"><0.05 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age \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">0.98 \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">(0.96–1.00) \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">0.17 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender \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">0.88 \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">(0.39–1.97) \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">0.75 \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 " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Type of patient (clinical/surgical) \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">0.71 \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">(0.26–1.98) \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">0.51 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab44826.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Multivariate analysis of survival in ICU.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:28 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "La calidad y la seguridad de la medicina intensiva en España. Algo más que palabras" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "M.C. Martín Delgado" 1 => "F. Gordo-Vidal" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2011.02.003" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2011" "volumen" => "35" "paginaInicial" => "201" "paginaFinal" => "205" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21414688" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Critical care medicine in the United States 2000–2005: an analysis of bed numbers, occupancy rates, payer mix, and costs" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "N.A. Halpern" 1 => "S.M. Pastores" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/CCM.0b013e3181b090d0" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med" "fecha" => "2010" "volumen" => "38" "paginaInicial" => "65" "paginaFinal" => "71" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19730257" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Implantación de un sistema de gestión en Medicina Intensiva basado en la seguridad del paciente gravemente enfermo durante todo el proceso de hospitalización: servicio extendido de Medicina Intensiva" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "E. Calvo Herranz" 1 => "M.T. Mozo Martín" 2 => "F. Gordo Vidal" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2011.05.008" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2011" "volumen" => "35" "paginaInicial" => "354" "paginaFinal" => "360" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21722991" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0020" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "SECI (Servicio Extendido de Cuidados Intensivos): mirando fuera de la UCI" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "M.S. Holanda Peña" 1 => "M.J. Domínguez Artiga" 2 => "E. Ots Ruiz" 3 => "M.I. Lorda de los Ríos" 4 => "A. Castellanos Ortega" 5 => "F. Ortiz Melón" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2011.03.012" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2011" "volumen" => "35" "paginaInicial" => "349" "paginaFinal" => "353" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21571395" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0025" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Medical emergency teams" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "D.R. Goldhill" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Care Crit Ill" "fecha" => "2000" "volumen" => "16" "paginaInicial" => "209" "paginaFinal" => "212" ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0030" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Confidential inquiry into quality of care before admission to intensive care" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "P. McQuillan" 1 => "S. Pilkington" 2 => "A. Allan" 3 => "B. Taylor" 4 => "A. Short" 5 => "G. Morgan" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "BMJ" "fecha" => "1998" "volumen" => "316" "paginaInicial" => "1853" "paginaFinal" => "1858" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/9632403" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0035" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Impact of delayed admission to intensive care units on mortality of critically ill patients: a cohort study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L. Cardoso" 1 => "C. Grion" 2 => "T. Matsuo" 3 => "E. Anami" 4 => "I. Kauss" 5 => "L. Seko" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/cc9975" "Revista" => array:5 [ "tituloSerie" => "Crit Care" "fecha" => "2011" "volumen" => "15" "paginaInicial" => "R28" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21244671" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0040" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Intensive care unit readmissions in U.S. hospitals: patient characteristics, risk factors, and outcomes" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "A.A. Kramer" 1 => "T.L. Higgins" 2 => "J.E. Zimmerman" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/CCM.0b013e31822d751e" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med" "fecha" => "2012" "volumen" => "40" "paginaInicial" => "3" "paginaFinal" => "10" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21926603" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0045" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical antecedents to in-hospital cardiopulmonary arrest" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "R. Schein" 1 => "N. Hazday" 2 => "M. Pena" 3 => "B.H. Ruben" 4 => "C.L. Sprung" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Chest" "fecha" => "1990" "volumen" => "98" "paginaInicial" => "1388" "paginaFinal" => "1392" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/2245680" "web" => "Medline" ] ] ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0050" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Physiological values and procedures in the 24<span class="elsevierStyleHsp" style=""></span>h before ICU admission from the ward" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "D.R. Goldhill" 1 => "S.A. White" 2 => "A. Sumner" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Anaesthesia" "fecha" => "1999" "volumen" => "54" "paginaInicial" => "529" "paginaFinal" => "534" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10403864" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0055" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Duration of life-threatening antecedents prior to intensive care admission" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "K.M. Hillman" 1 => "P.J. Bristow" 2 => "T. Chey" 3 => "K. Daffurn" 4 => "T. Jacques" 5 => "S.L. Norman" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s00134-002-1496-y" "Revista" => array:6 [ "tituloSerie" => "Intensive Care Med" "fecha" => "2002" "volumen" => "28" "paginaInicial" => "1629" "paginaFinal" => "1634" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12415452" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0060" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A comparison of antecedents to cardiac arrests, deaths and emergency intensive care admissions in Australia and New Zealand, and in the United Kingdom – the ACADEMIA study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "J. Kause" 1 => "G. Smith" 2 => "D. Prytherch" 3 => "M. Parr" 4 => "A. Flabouris" 5 => "K. Hillman" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.resuscitation.2004.05.016" "Revista" => array:6 [ "tituloSerie" => "Resuscitation" "fecha" => "2004" "volumen" => "62" "paginaInicial" => "275" "paginaFinal" => "282" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15325446" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0065" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Refusal of intensive care unit admission due to a full unit: impact on mortality" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R. Robert" 1 => "J. Reignier" 2 => "C. Tournoux-Facon" 3 => "T. Boulain" 4 => "O. Lesieur" 5 => "V. Gissot" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1164/rccm.201104-0729OC" "Revista" => array:6 [ "tituloSerie" => "Am J Respir Crit Care Med" "fecha" => "2012" "volumen" => "185" "paginaInicial" => "1081" "paginaFinal" => "1087" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22345582" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0070" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The patient-at-risk team" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "D.R. Goldhill" 1 => "L. Worthtintong" 2 => "A. Mulcahy" 3 => "M. Tarling" 4 => "A. Summer" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Anaesthesia" "fecha" => "1999" "volumen" => "54" "paginaInicial" => "853" "paginaFinal" => "860" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10460556" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0075" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The medical emergency team" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "A. Lee" 1 => "G. Bishop" 2 => "K.M. Hillman" 3 => "K. Daffurn" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Anaesth Intensive Care" "fecha" => "1995" "volumen" => "23" "paginaInicial" => "183" "paginaFinal" => "186" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/7793590" "web" => "Medline" ] ] ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0080" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Available from: <a class="elsevierStyleInterRef" href="http://www.ihi.org/knowledge/Pages/ImprovementStories/RapidResponseTeamsReducingCodesandRaisingMorale.aspx">http://www.ihi.org/knowledge/Pages/ImprovementStories/RapidResponseTeamsReducingCodesandRaisingMorale.aspx</a> [accessed 01.05.12]." ] ] ] 16 => array:3 [ "identificador" => "bib0085" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Surviving Sepsis Campaign: International Guidelines for the Management of Severe Sepsis and Septic Shock; 2008. Available from: <a class="elsevierStyleInterRef" href="http://www.survivingsepsis.org/Guidelines/Pages/default.aspx">http://www.survivingsepsis.org/Guidelines/Pages/default.aspx</a> [accessed 01.05.12]." ] ] ] 17 => array:3 [ "identificador" => "bib0090" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Recomendaciones del manejo diagnóstico-terapéutico inicial y multidisciplinario de la sepsis grave en los Servicios de Urgencias hospitalarios: Documento de consenso SEMES-SEMICYUC" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "C. León" 1 => "M. García-Castrillo" 2 => "A. Moya" 3 => "A. Artigas" 4 => "M. Borges" 5 => "F.J. Candel" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2007" "volumen" => "31" "paginaInicial" => "375" "paginaFinal" => "387" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17942061" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0095" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Assessment and management of acute coronary syndromes (ACS): a Canadian perspective on current guideline-recommended treatment—part 2: ST-segment elevation myocardial infarction" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "D.H. Fitchett" 1 => "P. Theroux" 2 => "J.M. Brophy" 3 => "W.J. Cantor" 4 => "J.L. Cox" 5 => "M. Gupta" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.cjca.2011.08.107" "Revista" => array:7 [ "tituloSerie" => "Can J Cardiol" "fecha" => "2011" "volumen" => "27" "numero" => "Suppl. A" "paginaInicial" => "S402" "paginaFinal" => "S412" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22118043" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0100" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Trombolisis en el ictus isquémico agudo en centros sin unidad de ictus: ¿derivación a centro de referencia o tratamiento in situ?" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "J. Latour-Pérez" 1 => "P. Galdos Anuncibay" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.medin.2011.12.007" "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2012" "volumen" => "36" "paginaInicial" => "324" "paginaFinal" => "328" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22386336" "web" => "Medline" ] ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0105" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiología y costes de la sepsis grave en Madrid. Estudio de altas hospitalarias" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "J. Iñigo" 1 => "J.M. Sendra" 2 => "R. Díaz" 3 => "C. Bouza" 4 => "A. Sarría-Santamera" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Med Intensiva" "fecha" => "2006" "volumen" => "30" "paginaInicial" => "197" "paginaFinal" => "203" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16938192" "web" => "Medline" ] ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0110" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Impact of real-time electronic alerting of acute kidney injury on therapeutic intervention and progression of RIFLE class" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "K. Colpaert" 1 => "E.A. Hoste" 2 => "K. Steurbaut" 3 => "D. Benoit" 4 => "S. van Hoecke" 5 => "F. de Turck" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/CCM.0b013e3182387a6b" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med" "fecha" => "2012" "volumen" => "40" "paginaInicial" => "1164" "paginaFinal" => "1170" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22067631" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0115" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Developing and implementing computerized protocols for standardization of clinical decisions" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "A.H. Morris" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Ann Intern Med" "fecha" => "2000" "volumen" => "132" "paginaInicial" => "373" "paginaFinal" => "383" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10691588" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0120" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Electronic alerts to prevent venous thromboembolism among hospitalized patients" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "N. Kucher" 1 => "S. Koo" 2 => "R. Quiroz" 3 => "J.M. Cooper" 4 => "M.D. Paterno" 5 => "B. Soukonnikov" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/NEJMoa041533" "Revista" => array:6 [ "tituloSerie" => "N Engl J Med" "fecha" => "2005" "volumen" => "352" "paginaInicial" => "969" "paginaFinal" => "977" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15758007" "web" => "Medline" ] ] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0125" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Informatics infrastructure for syndrome surveillance, decisions support, reporting and modelling of critical illness" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "V. Herasevich" 1 => "B.W. Pickering" 2 => "Y. Dong" 3 => "S.G. Peters" 4 => "O. Gajic" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.4065/mcp.2009.0479" "Revista" => array:6 [ "tituloSerie" => "Mayo Clin Proc" "fecha" => "2010" "volumen" => "85" "paginaInicial" => "247" "paginaFinal" => "254" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20194152" "web" => "Medline" ] ] ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib0130" "etiqueta" => "26" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Computer-generated automatic alerts of respiratory distress after blood transfusions" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "H.E. Finlay-Morreale" 1 => "C. Louie" 2 => "P. Toy" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1197/jamia.M2538" "Revista" => array:6 [ "tituloSerie" => "J Am Med Inform Assoc" "fecha" => "2008" "volumen" => "15" "paginaInicial" => "383" "paginaFinal" => "385" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18308991" "web" => "Medline" ] ] ] ] ] ] ] ] 26 => array:3 [ "identificador" => "bib0135" "etiqueta" => "27" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Rapid response teams: a systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "P.S. Chan" 1 => "R. Jain" 2 => "B.K. Nallmothu" 3 => "R.A. Berg" 4 => "C. Sasson" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/archinternmed.2009.424" "Revista" => array:6 [ "tituloSerie" => "Arch Intern Med" "fecha" => "2010" "volumen" => "170" "paginaInicial" => "18" "paginaFinal" => "26" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20065195" "web" => "Medline" ] ] ] ] ] ] ] ] 27 => array:3 [ "identificador" => "bib0140" "etiqueta" => "28" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Rapid response team-triggered procalcitonin measurement predicts infectious intensive care unit transfers" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R.G. Wunderink" 1 => "E.R. Diederich" 2 => "M.P. Caramez" 3 => "H.K. Donnelly" 4 => "S.D. Norwood" 5 => "A. Kho" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/CCM.0b013e31824fc027" "Revista" => array:6 [ "tituloSerie" => "Crit Care Med" "fecha" => "2012" "volumen" => "40" "paginaInicial" => "2090" "paginaFinal" => "2095" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22564964" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/21735727/0000003700000001/v1_201302200137/S2173572713000052/v1_201302200137/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/21735727/0000003700000001/v1_201302200137/S2173572713000052/v1_201302200137/en/main.pdf?idApp=WMIE&text.app=https://medintensiva.org/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572713000052?idApp=WMIE" ]
Year/Month | Html | Total | |
---|---|---|---|
2024 November | 8 | 13 | 21 |
2024 October | 63 | 42 | 105 |
2024 September | 48 | 30 | 78 |
2024 August | 54 | 37 | 91 |
2024 July | 52 | 24 | 76 |
2024 June | 46 | 37 | 83 |
2024 May | 46 | 34 | 80 |
2024 April | 45 | 24 | 69 |
2024 March | 49 | 33 | 82 |
2024 February | 48 | 31 | 79 |
2024 January | 35 | 40 | 75 |
2023 December | 28 | 35 | 63 |
2023 November | 30 | 40 | 70 |
2023 October | 28 | 27 | 55 |
2023 September | 42 | 34 | 76 |
2023 August | 22 | 18 | 40 |
2023 July | 38 | 30 | 68 |
2023 June | 25 | 18 | 43 |
2023 May | 18 | 17 | 35 |