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González-Castro, A. Fajardo Campoverde, A. Roncalli Rocha" "autores" => array:4 [ 0 => array:2 [ "nombre" => "A." "apellidos" => "González-Castro" ] 1 => array:2 [ "nombre" => "A." "apellidos" => "Fajardo Campoverde" ] 2 => array:2 [ "nombre" => "A." "apellidos" => "Roncalli Rocha" ] 3 => array:1 [ "colaborador" => "Grupo LATAM de ventilación mecánica (WeVent)" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210569121001753" "doi" => "10.1016/j.medin.2021.07.001" "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/S0210569121001753?idApp=WMIE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572722000832?idApp=WMIE" "url" => "/21735727/0000004600000007/v1_202206240715/S2173572722000832/v1_202206240715/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S2173572722001278" "issn" => "21735727" "doi" => "10.1016/j.medine.2021.10.011" "estado" => "S300" "fechaPublicacion" => "2022-07-01" "aid" => "1714" "copyright" => "Elsevier España, S.L.U. and SEMICYUC" "documento" => "simple-article" "crossmark" => 1 "subdocumento" => "crp" "cita" => "Med Intensiva. 2022;46:408-10" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:11 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Scientific letter</span>" "titulo" => "Correlation of the SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (S/F) ratio and the PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (P/F) ratio in patients with COVID-19 pneumonia" "tienePdf" => "en" "tieneTextoCompleto" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "408" "paginaFinal" => "410" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Correlación de la relación SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (S/F) y la relación PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (P/F) en pacientes con neumonía COVID-19" ] ] "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" => 1224 "Ancho" => 2091 "Tamanyo" => 264007 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">S/F ratio vs P/F ratio scatter plot. S/F ratio – SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>; P/F ratio – PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>. The line represents the best fit linear relationship SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.80(PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>)<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>59.8 (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "A. Kumar, R. Aggarwal, P. Khanna, R. Kumar, A.K. Singh, K.D. Soni, A. Trikha" "autores" => array:7 [ 0 => array:2 [ "nombre" => "A." "apellidos" => "Kumar" ] 1 => array:2 [ "nombre" => "R." "apellidos" => "Aggarwal" ] 2 => array:2 [ "nombre" => "P." "apellidos" => "Khanna" ] 3 => array:2 [ "nombre" => "R." "apellidos" => "Kumar" ] 4 => array:2 [ "nombre" => "A.K." "apellidos" => "Singh" ] 5 => array:2 [ "nombre" => "K.D." "apellidos" => "Soni" ] 6 => array:2 [ "nombre" => "A." "apellidos" => "Trikha" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572722001278?idApp=WMIE" "url" => "/21735727/0000004600000007/v1_202206240715/S2173572722001278/v1_202206240715/en/main.assets" ] "en" => array:16 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Scientific letter</span>" "titulo" => "Heterogeneity of hypoxemia severity according to pulse oximetry and blood gas analysis in COVID-19 pneumonia" "tieneTextoCompleto" => true "saludo" => "Dear Editor," "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "410" "paginaFinal" => "412" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "I. Núñez, A. Soto-Mota" "autores" => array:2 [ 0 => array:4 [ "nombre" => "I." "apellidos" => "Núñez" "email" => array:1 [ 0 => "isaac.nunezs@incmnsz.mx" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "A." "apellidos" => "Soto-Mota" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Departamento de Medicina Interna, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, Mexico" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, Mexico" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Heterogeneidad de la severidad de hipoxemia de acuerdo a oximetría de pulso y gases arteriales en neumonía COVID-19" ] ] "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" => 1003 "Ancho" => 2917 "Tamanyo" => 274800 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Correlation between oxygenation indexes. SpO<span class="elsevierStyleInf">2</span>: oxygen saturation with pulse oximeter; PaO<span class="elsevierStyleInf">2</span>: oxygen pressure in arterial blood; SatO<span class="elsevierStyleInf">2</span>: oxygen saturation in arterial blood; FiO<span class="elsevierStyleInf">2</span>: fraction of inspired oxygen.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Pneumonia is the hallmark of severe COVID-19.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">1</span></a> Strain in healthcare systems across the world has forced countless hospitals to conduct grueling triages to decide who gets to be admitted when healthcare saturation was rampant.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">2</span></a> As these decisions are inherently complex, numerous risk scores and predictor factors have been described to aid the attending medical team.<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">3–5</span></a> These often include clinical and laboratory values.</p><p id="par0010" class="elsevierStylePara elsevierViewall">One commonly utilized criteria to determine patient severity is the severity of hypoxemia.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">6</span></a> This can be assessed with arterial oxygen pressure (PaO<span class="elsevierStyleInf">2</span>), PaO<span class="elsevierStyleInf">2</span> to inspired fraction of oxygen (FiO<span class="elsevierStyleInf">2</span>) ratio, arterial oxygen saturation (SatO<span class="elsevierStyleInf">2</span>), pulse oximeter oxygen saturation (SpO<span class="elsevierStyleInf">2</span>), SatO<span class="elsevierStyleInf">2</span> to FiO<span class="elsevierStyleInf">2</span> ratio, SpO<span class="elsevierStyleInf">2</span> to FiO<span class="elsevierStyleInf">2</span> ratio, and the prescribed oxygen device.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">7</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The use of these criteria for hypoxemia severity in non-intubated patients has been criticized given the expected high inter-patient variability in FiO<span class="elsevierStyleInf">2</span>, shunt fraction, and physician's choice of oxygenation device and oxygen flow.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">7</span></a> Therefore, relying on these criteria is suboptimal given the low comparability between different patients.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In this study, we aimed to compare the severity of hypoxemia in patients with severe COVID-19 according to oxygenation index arriving at an emergency department.</p><p id="par0025" class="elsevierStylePara elsevierViewall">We performed a retrospective cohort study collecting information on every patient who arrived at the emergency department (ED) of a reference COVID-19 tertiary center between April 1st, 2020, and April 30th, 2021. At arrival, every patient had to go through a triage station where vital signs (including SpO<span class="elsevierStyleInf">2</span>) were documented before entering the emergency department. Once in the emergency department, all patients who had low SpO<span class="elsevierStyleInf">2</span> (usually<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>92%) received supplemental oxygen. Only nasal cannula and non-rebreathing masks were available at our center. Arterial blood gas analysis was performed in all patients with suspected COVID-19. Generally, FiO<span class="elsevierStyleInf">2</span> was estimated heuristically by the treating physician by adding to the baseline FiO<span class="elsevierStyleInf">2</span> (21%) 3% for every extra liter of oxygen per minute.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">8</span></a> For example, a patient receiving 2<span class="elsevierStyleHsp" style=""></span>l of minute of supplemental oxygen would have a calculated FiO<span class="elsevierStyleInf">2</span> of 27% (21<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>3*2). SpO<span class="elsevierStyleInf">2</span> was obtained at ambient air, while arterial blood gas was obtained almost universally when patients received supplemental oxygen. Given the closeness between SpO<span class="elsevierStyleInf">2</span> and blood gas analysis, we believe it is reasonable to assume that the clinical status of the patient is comparable between these two circumstances.</p><p id="par0030" class="elsevierStylePara elsevierViewall">We obtained data about PaO<span class="elsevierStyleInf">2</span>, SatO<span class="elsevierStyleInf">2</span>, SpO<span class="elsevierStyleInf">2</span>, and FiO<span class="elsevierStyleInf">2</span>, with which we calculated PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, and SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>. All SpO<span class="elsevierStyleInf">2</span> were taken at triage with a Nihon MU-631RK portable monitor, and as such, were ambient-air (FiO<span class="elsevierStyleInf">2</span> 21%). SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> was included to better compare oxygenation indexes. Blood gas analysis was performed in the emergency department with the RADIOMETER ABL90 flex analyzer, which directly measured SatO<span class="elsevierStyleInf">2</span> and PaO<span class="elsevierStyleInf">2</span>. Oxygen device used at the time of the arterial blood gas analysis could not be confidently determined, so it was not included. Since the low reliability of FiO<span class="elsevierStyleInf">2</span> is the most criticized aspect of using the oxygenation device as a marker of hypoxia severity, it does not affect our analysis.</p><p id="par0035" class="elsevierStylePara elsevierViewall">We categorized a patient's hypoxemia severity by quintiles of SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, and SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (from now on referred to as “oxygenation indexes”). Lower values indicate a higher hypoxemia severity. We determined strength of concordance between oxygenation index quintiles with chord diagrams across all three oxygenation index pairs. We calculated Spearman correlation coefficients for the three possible pairs of oxygenation indexes. We built scatterplots and used locally weighted scatterplot smoothing regression to graphically represent the data.</p><p id="par0040" class="elsevierStylePara elsevierViewall">All analyses were conducted with R software version 4.0.0. The study was approved by the Research in Humans ethics committee of the authors’ institution.</p><p id="par0045" class="elsevierStylePara elsevierViewall">A total of 23,049 triage visits occurred during the study period, corresponding to 19,644 individual patients. Of these, 8123 were due to suspected COVID-19. Among 4663 patients that were finally admitted to the ED, arterial blood gas analysis was obtained for 2960 patients.</p><p id="par0050" class="elsevierStylePara elsevierViewall">Median FiO<span class="elsevierStyleInf">2</span> was 0.34 (inter-quartile range [IQR] 0.25–0.60), PaO<span class="elsevierStyleInf">2</span> 68<span class="elsevierStyleHsp" style=""></span>mmHg (57–84), SatO<span class="elsevierStyleInf">2</span> 94% (91–97), SpO<span class="elsevierStyleInf">2</span> 83% (73–88), PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> 211 (124–281), SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> 274 (160–364), and SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> 395 (348–419). Correlation among oxygenation indexes is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. A strong correlation was seen between PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> & SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (rho<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.6, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), and SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> & SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (rho<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.65, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), while a very strong correlation was seen between PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> & SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> (rho<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.88, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). None of the variable pairs showed a linear relationship. All oxygenation indexes showed a considerable cross-over among quintiles (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>), with only 785 (26.5%) patients being in the same severity quintile across all indexes.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">Our study shows there is considerable heterogeneity when classifying hypoxemia severity with different oxygenation indexes. While good correlation was observed among the three evaluated pairs, the lower correlation between SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> and the others could be due to inaccuracy of pulse oximeters when used in patients with low oxygen saturation, physician imprecision when estimating FiO<span class="elsevierStyleInf">2</span>, and/or mixed blood in the gas analysis.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">9</span></a> It is likely multiple factors are involved in most cases, which is consistent with the previously mentioned concerns.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">7</span></a> For example, if solely based on SpO<span class="elsevierStyleInf">2</span> at triage, a patient could be wrongly classified as having a more severe disease, giving preference to a patient in better condition. Also, follow up could be hard if it is done only with oxygenation parameters. The morning medical team could classify the patient with a given severity with blood gas analysis, while the evening group could use a pulse oximeter and determine intubation is indicated.</p><p id="par0060" class="elsevierStylePara elsevierViewall">Degree of hypoxemia is not a good measure when considered by itself in non-intubated patients with COVID-19 pneumonia, as considerable variation occurs depending on whether pulse oximetry or blood gas analysis is utilized.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Data availability</span><p id="par0065" class="elsevierStylePara elsevierViewall">Code used for the analysis is freely available at <a href="https://github.com/isaac-nunez/Oxygenation_indexes">https://github.com/isaac-nunez/Oxygenation_indexes</a>. Data will be made available upon reasonable request to the corresponding author.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Sources of funding</span><p id="par0070" class="elsevierStylePara elsevierViewall">This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Conflicts of interest</span><p id="par0075" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Data availability" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "Sources of funding" ] 2 => array:2 [ "identificador" => "sec0015" "titulo" => "Conflicts of interest" ] 3 => array:2 [ "identificador" => "xack613957" "titulo" => "Acknowledgements" ] 4 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:2 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1003 "Ancho" => 2917 "Tamanyo" => 274800 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Correlation between oxygenation indexes. SpO<span class="elsevierStyleInf">2</span>: oxygen saturation with pulse oximeter; PaO<span class="elsevierStyleInf">2</span>: oxygen pressure in arterial blood; SatO<span class="elsevierStyleInf">2</span>: oxygen saturation in arterial blood; FiO<span class="elsevierStyleInf">2</span>: fraction of inspired oxygen.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 893 "Ancho" => 2917 "Tamanyo" => 221560 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Variability of concordance between oxygenation indexes’ quintiles. SpO<span class="elsevierStyleInf">2</span>: oxygen saturation with pulse oximeter; PaO<span class="elsevierStyleInf">2</span>: oxygen pressure in arterial blood; SatO<span class="elsevierStyleInf">2</span>: oxygen saturation in arterial blood; FiO<span class="elsevierStyleInf">2</span>: fraction of inspired oxygen. (A) Shows relation between PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> and SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, (B) shows relation between PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> and SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>, and (C) shows relation between SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> and SatO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>. Numbers represent the respective quintile (“PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> 1” represents the first quintile of said variable).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:9 [ 0 => array:3 [ "identificador" => "bib0050" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Severe Covid-19" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "D.A. Berlin" 1 => "R.M. Gulick" 2 => "F.J. 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