Corresponding author. Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil.
was read the article
array:23 [ "pii" => "S1807593222032768" "issn" => "18075932" "doi" => "10.1016/j.clinsp.2022.100075" "estado" => "S300" "fechaPublicacion" => "2022-01-01" "aid" => "100075" "copyright" => "HCFMUSP" "copyrightAnyo" => "2022" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Clinics. 2022;77C:" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:18 [ "pii" => "S1807593222000321" "issn" => "18075932" "doi" => "10.1016/j.clinsp.2022.100036" "estado" => "S300" "fechaPublicacion" => "2022-01-01" "aid" => "100036" "copyright" => "HCFMUSP" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Clinics. 2022;77C:" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original articles</span>" "titulo" => "Intra-articular triamcinolone hexacetonide injections in hands osteoarthritis ‒ A double-blinded randomized controlled trial with a one year follow-up" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "en" ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0001" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1876 "Ancho" => 2500 "Tamanyo" => 244861 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0006" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">Study Flow Diagram. TH/LD, Triamcinolone Hexacetonide group; LD, Lidocaine group.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Natalia de Oliva Spolidoro Paschoal, Jamil Natour, Flavia Soares Machado, Hilda Alcântara Veiga de Oliveira, Artur da Rocha Correa Fernandes, Rita Nely Vilar Furtado" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Natalia de Oliva Spolidoro" "apellidos" => "Paschoal" ] 1 => array:2 [ "nombre" => "Jamil" "apellidos" => "Natour" ] 2 => array:2 [ "nombre" => "Flavia Soares" "apellidos" => "Machado" ] 3 => array:2 [ "nombre" => "Hilda Alcântara Veiga de" "apellidos" => "Oliveira" ] 4 => array:2 [ "nombre" => "Artur da Rocha Correa" "apellidos" => "Fernandes" ] 5 => array:2 [ "nombre" => "Rita Nely Vilar" "apellidos" => "Furtado" ] ] ] ] "resumen" => array:1 [ 0 => array:3 [ "titulo" => "Highlights" "clase" => "author-highlights" "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><p id="spara014" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="celist0001"><li class="elsevierStyleListItem" id="celistitem0001"><span class="elsevierStyleLabel">•</span><p id="para0001" class="elsevierStylePara elsevierViewall">Hands osteoarthritis treatment.</p></li><li class="elsevierStyleListItem" id="celistitem0002"><span class="elsevierStyleLabel">•</span><p id="para0002" class="elsevierStylePara elsevierViewall">Intra-articular corticosteroid injection.</p></li></ul></p></span>" ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222000321?idApp=UINPBA00004N" "url" => "/18075932/000000770000000C/v3_202308251443/S1807593222000321/v3_202308251443/en/main.assets" ] "itemAnterior" => array:17 [ "pii" => "S1807593222022906" "issn" => "18075932" "doi" => "10.1016/j.clinsp.2022.100060" "estado" => "S300" "fechaPublicacion" => "2022-01-01" "aid" => "100060" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Clinics. 2022;77C:" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original articles</span>" "titulo" => "Importance of detection of <span class="elsevierStyleItalic">Strongyloides stercoralis</span> DNA in fecal samples from patients with type 2 diabetes mellitus" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "en" ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0001" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 782 "Ancho" => 2167 "Tamanyo" => 70801 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0004" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Strongyloides</span> DNA amplification by PCR-genus (392 bp) and PCR-species (101 bp). M, 100 bp Molecular weight marker, NC, Negative Control (PCR mix with water); PC, Positive Controls (S. <span class="elsevierStyleItalic">stercoralis</span> DNA larvae), and DNA of fecal samples from diabetes mellitus type 2 (lane 1, 2 or 3).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Márcia Carolina Mazzaro, Émelin Alves dos Santos, Gessica Baptista de Melo, Priscila Duarte Marques, Laura Vilela Souza, Jefferson Elias-Oliveira, Bruna Campos da Silva, Ronaldo César Borges Gryschek, Fabiana Martins de Paula, Rosângela Maria Rodrigues" "autores" => array:10 [ 0 => array:2 [ "nombre" => "Márcia Carolina" "apellidos" => "Mazzaro" ] 1 => array:2 [ "nombre" => "Émelin Alves dos" "apellidos" => "Santos" ] 2 => array:2 [ "nombre" => "Gessica Baptista de" "apellidos" => "Melo" ] 3 => array:2 [ "nombre" => "Priscila Duarte" "apellidos" => "Marques" ] 4 => array:2 [ "nombre" => "Laura Vilela" "apellidos" => "Souza" ] 5 => array:2 [ "nombre" => "Jefferson" "apellidos" => "Elias-Oliveira" ] 6 => array:2 [ "nombre" => "Bruna Campos da" "apellidos" => "Silva" ] 7 => array:2 [ "nombre" => "Ronaldo César Borges" "apellidos" => "Gryschek" ] 8 => array:2 [ "nombre" => "Fabiana Martins de" "apellidos" => "Paula" ] 9 => array:2 [ "nombre" => "Rosângela Maria" "apellidos" => "Rodrigues" ] ] ] ] "resumen" => array:1 [ 0 => array:3 [ "titulo" => "HIGHLIGHTS" "clase" => "author-highlights" "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><p id="spara005" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="celist0001"><li class="elsevierStyleListItem" id="celistitem0001"><span class="elsevierStyleLabel">•</span><p id="para0002" class="elsevierStylePara elsevierViewall">Positivity for strongyloidiasis in coproscopic exam was low in diabetic patients.</p></li><li class="elsevierStyleListItem" id="celistitem0002"><span class="elsevierStyleLabel">•</span><p id="para0003" class="elsevierStylePara elsevierViewall">PCR is more sensitive for detecting <span class="elsevierStyleItalic">S. stercoralis</span> infection in diabetic patients.</p></li><li class="elsevierStyleListItem" id="celistitem0003"><span class="elsevierStyleLabel">•</span><p id="para0004" class="elsevierStylePara elsevierViewall">Molecular diagnosis is an important tool for the detection of <span class="elsevierStyleItalic">S. stercoralis.</span></p></li></ul></p></span>" ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222022906?idApp=UINPBA00004N" "url" => "/18075932/000000770000000C/v3_202308251443/S1807593222022906/v3_202308251443/en/main.assets" ] "en" => array:17 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original articles</span>" "titulo" => "Ambulation capacity, age, immunosuppression, and mechanical ventilation are risk factors of in-hospital death in severe COVID-19: a cohort study" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Erika Christina Gouveia e Silva, Ana Carolina Basso Schmitt, Caroline Gil de Godoy, Amislaine Cristina Gambeta, Celso Ricardo Fernandes de Carvalho, Carolina Fu, Clarice Tanaka, Carlos Toufen Junior, Carlos Roberto Ribeiro de Carvalho, José Eduardo Pompeu" "autores" => array:10 [ 0 => array:4 [ "nombre" => "Erika Christina Gouveia e" "apellidos" => "Silva" "email" => array:1 [ 0 => "erikacgc@usp.br" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0001" ] ] ] 1 => array:3 [ "nombre" => "Ana Carolina Basso" "apellidos" => "Schmitt" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 2 => array:3 [ "nombre" => "Caroline Gil de" "apellidos" => "Godoy" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 3 => array:3 [ "nombre" => "Amislaine Cristina" "apellidos" => "Gambeta" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 4 => array:3 [ "nombre" => "Celso Ricardo Fernandes de" "apellidos" => "Carvalho" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 5 => array:3 [ "nombre" => "Carolina" "apellidos" => "Fu" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 6 => array:3 [ "nombre" => "Clarice" "apellidos" => "Tanaka" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 7 => array:3 [ "nombre" => "Carlos Toufen" "apellidos" => "Junior" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0002" ] ] ] 8 => array:3 [ "nombre" => "Carlos Roberto Ribeiro de" "apellidos" => "Carvalho" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0002" ] ] ] 9 => array:3 [ "nombre" => "José Eduardo" "apellidos" => "Pompeu" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Department of Physical Therapy, Speech Therapy, and Occupational Therapy, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil" "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:3 [ "entidad" => "Divisão de Pneumologia, Instituto do Coração (InCor), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, São Paulo, SP, Brazil" "etiqueta" => "b" "identificador" => "aff0002" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0001" "etiqueta" => "⁎" "correspondencia" => "Corresponding author. Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil." ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Introduction</span><p id="para0009" class="elsevierStylePara elsevierViewall">Since January 2020, coronavirus COVID-19, caused by the SARS-CoV-2 virus, has affected more than 117 million people and caused the deaths of more than 2.6 million individuals worldwide.<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> There is a variable in-hospital case fatality rate of COVID-19, ranging from 13% in hospitalized patients up to 37% in patients admitted to an Intensive Care Unit (ICU). In Brazil, the case fatality rate ranges from 31.8% in week 10% to 18.2% in week 40.<a class="elsevierStyleCrossRef" href="#bib0002"><span class="elsevierStyleSup">2</span></a></p><p id="para0010" class="elsevierStylePara elsevierViewall">Immunosuppression, obesity, diabetes, hypertension, heart disease, age over 65 years old, masculine sex, and smoking are factors associated with a more critical condition or death due to COVID-19.<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> Initial clinical manifestations such as fever, shortness of breath, or dyspnea may also impair the progression of COVID-19.<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> Race is another predictor of lethality and black people have higher mortality due to COVID-19 than white people (OR = 1.6; CI 95% = 1.2–2.0).<a class="elsevierStyleCrossRef" href="#bib0004"><span class="elsevierStyleSup">4</span></a> Current epidemiological data on COVID-19 suggests that brown and black people may be more susceptible to SARS-CoV-2 infections.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a> In Brazil, the death rates due to COVID-19 in brown and black people are three times higher than in white people.<a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> This higher susceptibility and the worse outcome could be related to the higher prevalence of diabetes, hypertension, obesity, asthma, and heart disease in brown and black people.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a></p><p id="para0011" class="elsevierStylePara elsevierViewall">Functional capacity, cardiovascular disease, and pneumonia are associated with a higher chance of death.<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> A low level of physical activity has been associated with higher mortality in older adults.<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> In heart failure patients, decreased physical activity is associated with poor functional physical performance and with an increased risk of hospitalization and mortality.<a class="elsevierStyleCrossRef" href="#bib0008"><span class="elsevierStyleSup">8</span></a> Patients with COVID-19 with a low level of physical activity have a higher risk for hospitalization and death.<a class="elsevierStyleCrossRefs" href="#bib0009"><span class="elsevierStyleSup">9–12</span></a> However, to our knowledge, no study has addressed the association between ambulation capacity and death in patients hospitalized by COVID-19.</p><p id="para0012" class="elsevierStylePara elsevierViewall">Therefore, this study aimed to verify the functional, clinical, and sociodemographic risk factors associated with in-hospital death, and to compare the clinical and sociodemographic characteristics of individuals with severe COVID-19, according to their ambulation capacity prior to the disease.</p><p id="para0013" class="elsevierStylePara elsevierViewall">The authors hypothesized that decreased ambulation capacity, and other previously reported clinical and sociodemographic characteristics, would be a factor associated with a higher risk of in-hospital death due to COVID-19 and, the participants with ambulation disability may present worse health conditions with a higher number of clinical and sociodemographic risk factors for in-hospital death.</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">Methods</span><p id="para0014" class="elsevierStylePara elsevierViewall">This retrospective cohort study was approved by the Ethics Committee of the Hospital das Clinicas of the Medical School of the University of São Paulo (number 4.052.246) and follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.</p><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Study design and participants</span><p id="para0015" class="elsevierStylePara elsevierViewall">This study included data from patients admitted to a referral public hospital for SARS-CoV-2 in São Paulo, Brazil, during the first (04/01/2020 to 11/30/2020) and second (01/01/2021 to 05/31/2021) waves of the COVID-19 pandemic. The authors included patients aged 18 years or older, of both sexes, and confirmed diagnosis of COVID-19 by Reverse Transcription-Polymerase Chain Reaction (RT-PCR). Cases with dubious information in the medical records and/or missing essential data were excluded.</p><p id="para0016" class="elsevierStylePara elsevierViewall">Sociodemographic information (age, sex, and race), in-hospital death due to SARS-CoV-2, number of previous comorbidities, habits (alcohol consumption and smoking), hospital and ICU stays, Mechanical Ventilation (MV), and ambulation capacity before infection by SARS-CoV-2 was collected from medical records and registered in a RedCap database.</p><p id="para0017" class="elsevierStylePara elsevierViewall">Participants were classified according to their ambulation capacity prior to infection by SARS-CoV-2 as independent, dependent, or non-functional ambulators. Individuals who could ambulate independently on non-level and level surfaces, stairs, and inclines were classified as independent ambulators. Individuals requiring continuous or intermittent light touch to assist balance or coordination from one or more persons to ambulate on level surfaces to prevent falls were classified as dependent ambulators. Individuals who were unable to walk or needed help were classified as non-functional ambulators. Ambulation classification was based on and adapted from a previous study.<a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a></p></span><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Statistical analysis</span><p id="para0018" class="elsevierStylePara elsevierViewall">Statistical analysis was performed using JASP (0.14.1) and Stata 14.4 (StataCorp, College Station, TX, USA) software. Kruskal Wallis, Mann-Whitney, and chi-squared tests were performed to analyze the association between demographic and clinical characteristics with in-hospital death and to compare the characteristics of the groups. The post hoc test of Dunn was applied to paired comparisons. The case fatality rate was estimated per point and 95% Confidence Interval. The multiple logistic regression model was applied, estimating the net weight of possible demographic and clinical factors associated with in-hospital death after bivariate analysis (p < 0.20), and adjusted by age and wave. In all statistical tests, the level of significance was previously established at α = 0.05 and the Confidence Interval (CI) was set at 95%.</p></span></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Results</span><p id="para0019" class="elsevierStylePara elsevierViewall">A total of 1011 patients were included in this study, the median age of 57 (46‒66) years, 58.4% (n = 590) male, and 61.7% (n = 602) brown or black. The most prevalent comorbidities were diabetes mellitus (28.4%; n = 287), and obesity (24.4%; n = 246). The median hospital stay was 16 (10‒28) days, and the median ICU stay was 12 (6‒21) days. In-hospital case fatality rate was 36.0% (n = 363) (CI 95% = 33.0–39.0). <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a> shows the demographic and clinical characteristics of patients according to their ambulation capacity before infection by SARS-CoV-2.</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><elsevierMultimedia ident="tbl0002"></elsevierMultimedia><elsevierMultimedia ident="tbl0003"></elsevierMultimedia><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0014">Ambulation capacity and comorbidities (<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>)</span><p id="para0020" class="elsevierStylePara elsevierViewall">Participants were classified as independent ambulators (67.9%; n = 686), dependent ambulators (11.7%; n = 119) and non-functional ambulators (20.4%; n = 206).</p><p id="para0021" class="elsevierStylePara elsevierViewall">There was a significant association between ambulation capacity before COVID-19 with the prevalence of diabetes <span class="elsevierStyleItalic">mellitus</span> (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 9.28, p = 0.014), hepatic disease (<span class="elsevierStyleItalic">X<span class="elsevierStyleSup">2</span></span> = 9.37, p = 0.022), and neurological disease (<span class="elsevierStyleItalic">X<span class="elsevierStyleSup">2</span></span> = 6.35, p = 0.042).</p></span><span id="sec0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0015">Ambulation capacity and Mechanical ventilation (<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>)</span><p id="para0022" class="elsevierStylePara elsevierViewall">The need for MV (H<span class="elsevierStyleSup">2</span> = 10.377, p = 0.006) to treat COVID-19 was greater in the dependent and non-functional ambulator groups than for independent ambulators (Dunn post hoc test, p = 0.022 and p = 0.002, respectively). There was no significant difference between dependent versus non-functional ambulators (Dunn post hoc test, p <span class="elsevierStyleItalic">=</span> 0.410).</p></span><span id="sec0008" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016">Ambulation capacity and in-hospital death (<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>)</span><p id="para0023" class="elsevierStylePara elsevierViewall">The ambulation capacity before COVID-19 affected in-hospital death (H<span class="elsevierStyleSup">2</span> = 20.924, p < 0.001), being higher in the dependent and non-functional ambulator groups than for independent ambulators (Dunn post hoc test, p = 0.001 and p < 0.001, respectively). There was no significant difference between dependent versus non-functional ambulators (p = 0.431).</p></span><span id="sec0009" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0017">Ambulation capacity and clinical and sociodemographic characteristics according to outcome (in-hospital death or discharge) (<a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a>)</span><p id="para0024" class="elsevierStylePara elsevierViewall">There was a significant association between the COVID-19 outcome (in-hospital death or discharge) and ambulation capacity before hospitalization (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 20.95, p < 0.001). COVID-19 outcome was also associated with sex (<span class="elsevierStyleItalic">X<span class="elsevierStyleSup">2</span></span> = 30.54, p < 0.001), race (<span class="elsevierStyleItalic">X<span class="elsevierStyleSup">2</span></span> = 25.04, p < 0.001), COVID-19 wave (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 22.28, p < 0.001), MV (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 228.32, p < 0.001), smoking (<span class="elsevierStyleItalic">X<span class="elsevierStyleSup">2</span></span> = 6.67, p = 0.010), obesity (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 7.76, p = 0.044), dyslipidemia (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 4.80, p = 0.029), and immunosuppression (<span class="elsevierStyleItalic">X</span><span class="elsevierStyleSup">2</span> = 13.53, p < 0.001).</p><p id="para0025" class="elsevierStylePara elsevierViewall">The authors compared the characteristics of those participants who died during hospitalization (in-hospital death group) with those who were discharged from the hospital (discharge group). There were significant differences between the in-hospital mortality group and the discharge group regarding (1) age [in-hospital death group (median = 62 years); discharge group (median = 55 years); (W = 88328, <span class="elsevierStyleItalic">Hodges-Lehmann estimate</span> = -6, <span class="elsevierStyleItalic">Rank-Biserial Correlation</span> = 0.250, p < 0.001)]; (2) length of hospital stay [in-hospital death group (median = 15 days); discharge group (median = 18 days); (W = 130302, <span class="elsevierStyleItalic">Hodges-Lehmann estimate</span> = -2, <span class="elsevierStyleItalic">Rank-Biserial Correlation</span> = -0.108, p = 0.004)]; length of ICU stay [in-hospital death group (median = 14 days); discharge group (median = 10 days); (W = 73453, <span class="elsevierStyleItalic">Hodges-Lehmann estimate</span> = -4, <span class="elsevierStyleItalic">Rank-Biserial Correlation</span> = -0.217 p < 0.001)].</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0018">Predictors of in-hospital death (<a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a>)</span><p id="para0026" class="elsevierStylePara elsevierViewall">Logistic regression adjusted for in-hospital death showed an association between ambulation capacity (dependent ambulator OR = 2.3; CI 95% = 1.2–4.4 and non-functional ambulator OR = 1.9; CI 95% = 1.1–3.3). In-hospital death was also associated with older adults (OR = 3.0; CI 95% = 1.9–4.7), females (OR = 2.5; CI 95% = 1.6–3.8), brown or black race (OR = 1.8; CI 95% = 1.1–3.1), immunosuppression (OR = 5.5; CI 95% = 2.3–13.5), length of hospital stay (OR = 0.7; CI 95% = 0.6–0.7), length of ICU stay (OR = 1.4; CI 95% = 1.2–1.4) and MV (OR = 27.5; CI 95% = 12.0–62.9).</p></span></span><span id="sec0011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0019">Discussion</span><p id="para0027" class="elsevierStylePara elsevierViewall">To our knowledge, this is the first study that investigated if ambulation capacity is a risk factor associated with the outcome of patients hospitalized with severe COVID-19. The main finding of the present study was that ambulation capacity before COVID-19 is a strong predictor for in-hospital death. People with worse functional capacity, mainly older adults, suffer a higher impact of hospitalization due to several diseases.<a class="elsevierStyleCrossRefs" href="#bib0016"><span class="elsevierStyleSup">16–18</span></a> Specifically, in patients with COVID-19, the lower level of physical activity was a risk factor for worse outcomes, including death.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> Physical activity seems to play a protective role against COVID-19 even at levels below those currently recommended, probably due to an anti-inflammatory action and positive effects on the immune system.<a class="elsevierStyleCrossRefs" href="#bib0016"><span class="elsevierStyleSup">16,17,19</span></a></p><p id="para0028" class="elsevierStylePara elsevierViewall">Another important finding of the present study was that race (brown and black) is associated with in-hospital death in patients with COVID-19. Brown and black patients present higher case fatality rates (42.80%) compared to white patients (27.03%). The present results corroborate the findings of Price-Haywood et al. 2020<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">20</span></a> and Karmakar et al. 2021<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">21</span></a> in which black and brown individuals presented a higher risk of worse prognosis and death by COVID-19. Additionally, Araujo et al. 2020<a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> reported that hospitalizations amongst black and brown people increased throughout the pandemic in Brazil. The mechanism for higher lethality of black people can be explained by their lower and slower excretion of sodium, which results in the suppression of the Aninnine-Aldosterone-Angiotensin System (AAR), thereby tending towards sodium retention and arterial hypertension.<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">22</span></a> Individuals with hypertension express more Aangiotensin-Converter Enzyme (ACE-2), the main receptor used by SARS-CoV-2 to invade host cells. The link between the virus and ACE-2 increases the levels of angiotensin type II causing tissue injury and dysregulation of the aninnine-angiotensin-aldosterone system.<a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">23</span></a></p><p id="para0029" class="elsevierStylePara elsevierViewall">The present results show that obesity, dyslipidemia, and immunosuppression are risk factors for mortality. Obese individuals with COVID-19 were more severely affected and had a worse prognosis,<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">24</span></a> as well as an increased risk of death.<a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">25</span></a> Probably, obese individuals suffer an additional reduction in lung volume and capacity and present increased airway resistance.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">24</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">25</span></a> Dyslipidemia was present in 13% of the present study's participants. A study observed that dyslipidemia is associated with a 60% increase in the risk of short-term mortality.<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">26</span></a> Individuals with dyslipidemia infected with SARS-CoV-2 are more likely to have acute cardiovascular events and progress to serious disease,<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">27</span></a> probably due to prior vascular damage caused by dyslipidemia.<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">26</span></a> The present results corroborate a systematic review and meta-analysis<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> that showed that MV, age (older adults), length of stay in ICU, and immunosuppression are strong predictors of in-hospital death in patients with severe COVID-9.</p><p id="para0030" class="elsevierStylePara elsevierViewall">In the present study, the in-hospital case fatality rate (36%) was higher than previously reported (20% to 31%).<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">28</span></a> The higher case fatality rate of the present study could be related to the data collection site which was a reference hospital for severe and moderate cases of COVID-19, where only those patients with significant clinical worsening were transferred, often already being admitted for invasive MV.</p><p id="para0031" class="elsevierStylePara elsevierViewall">Immunosuppression was a prognostic factor for death. An adequate immune response for the creation of antibodies is important for protection against COVID-19 infection, and several studies have demonstrated a decreased serum antibody response to SARS-CoV-2 in severe cases of ICU patients.<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> Individuals with deficient immune responses are more susceptible to diseases, particularly certain respiratory diseases, such as influenza, as well as immune responses harmful to vaccination.<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">27</span></a></p><p id="para0032" class="elsevierStylePara elsevierViewall">Length of ICU stay (OR = 1.4; CI 95% = 1.2‒1.4) and MV (OR = 27.5; CI 95% = 12.0–62.9) were strong predictors of in-hospital death. The length of hospital stay depends on the severity of the condition and the need for care support, ranging from the use of oxygen therapy to ICU admission.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">29</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">30</span></a> Another explanation for this strong risk factor due to MV was the fact that most of these patients developed severe acute respiratory failure and therefore had to be intubated. This intervention was necessary because in most cases, there was the development of Acute Respiratory Distress Syndrome (ARDS), a serious condition that can lead to death. The necessity of MV is related to the severity of symptoms that leads to longer stays in the ICU. It is notable that the present study's patients presented severe symptoms and a greater propensity to needing MV. Additionally, individuals who survived a long ICU stay may develop post-intensive care syndrome that affects their physical, cognitive, and mental functions. Its main causes are interventional, environmental, and psychological factors, including the need for MV.<a class="elsevierStyleCrossRef" href="#bib0031"><span class="elsevierStyleSup">30</span></a> This syndrome can negatively influence the quality of life of the individual, and long-term follow-up studies on persistent symptoms in patients after hospital discharge following COVID-19 are considered fundamental.<a class="elsevierStyleCrossRef" href="#bib0032"><span class="elsevierStyleSup">31</span></a> In addition, hospitalization can lead to disabilities due to underlying disease and low levels of mobility, even with adequate treatment. This condition can cause serious long-term consequences, including an increased risk of hospital readmission, mortality, and symptoms possibly lasting for months after hospital discharge.<a class="elsevierStyleCrossRef" href="#bib0033"><span class="elsevierStyleSup">32</span></a></p><p id="para0033" class="elsevierStylePara elsevierViewall">The present results showed a higher risk of death in older adults (OR = 3.0; CI 95% = 1.9‒4.7). COVID-19 affects all age groups, but its severity increases for groups above 50 years, probably due to physiological changes resulting from the aging process and the presence of a greater number of comorbidities.<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">28</span></a> Due to SARS-CoV-2 viral infection, pro-inflammatory cytokines are stimulated in response to changes in the hematogenous pathway causing a prothrombotic effect, which in turn stimulates the proliferation of immune cells responsible for fighting chronic inflammations. Especially in older adults, due to the immunosenescence, tissue damage with oxygenation deficiency can cause important tissue distress and worse evolution of COVID-19.<a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">27</span></a> However, age is not a risk factor for ICU admission, nor a determinant for the use of MV. The present results demonstrated that adults were the group who most needed MV as a therapeutic option (53.50%; n = 352), according to a previous study.<a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0034"><span class="elsevierStyleSup">33</span></a> that showed that the risk factors for death in individuals submitted to MV for COVID-19 are the severity of the condition and functional disability.<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a></p><p id="para0034" class="elsevierStylePara elsevierViewall">In agreement with previous studies,<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">34</span></a> the present results showed that men presented a higher risk of death from COVID-19 (OR = 2.5; CI 95% = 1.6‒3.8). The higher susceptibility of men to acquiring viral infections<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">35</span></a> and the difference in testosterone and estrogen levels between men and women may predispose males to more frequently severe cases of COVID-19.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a> Additionally, men are less engaged with their health care, especially for chronic diseases, which can be associated with greater morbidity and more complications due to COVID-19.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">34</span></a> However, following the elimination of viral infection, women maintain high immunological responses, which may increase the risk of post-infection complications,<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a> and more long-term symptoms than men.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">34</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#bib0036"><span class="elsevierStyleSup">35</span></a></p><p id="para0035" class="elsevierStylePara elsevierViewall">The present study corroborates the findings of previous studies regarding clinical and sociodemographic risk factors for in-hospital death in severe COVID-19 and advances our knowledge by demonstrating the association between prior ambulation capacity and worse prognostic outcomes in severe COVID-19 hospitalized patients.</p><p id="para0036" class="elsevierStylePara elsevierViewall">The authors suggest that the ambulation capacity factor be assessed at hospital admission. Moreover, there is a consensus regarding the need to encourage physical activity, especially for the population with some ambulation impairment, to prevent several negative health outcomes. The present results reinforce the need to include people with functional deficiency in the priority vaccination groups and special attention during hospitalization due to the high risk of worse outcomes from COVID-19.</p><span id="sec0012" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0020">Strengths and limitations</span><p id="para0037" class="elsevierStylePara elsevierViewall">The present study has the following strengths:</p><p id="para0038" class="elsevierStylePara elsevierViewall">The present sample was composed of SARS-CoV-2 patients hospitalized in a referral hospital for critically ill patients in the city of São Paulo, Brazil.</p><p id="para0039" class="elsevierStylePara elsevierViewall">No other study has analyzed ambulation capacity before hospitalization as a predictor of prognosis and death in COVID-19.</p><p id="para0040" class="elsevierStylePara elsevierViewall">The present results need to be interpreted considering the following limitations:</p><p id="para0041" class="elsevierStylePara elsevierViewall">The population being studied was drawn from a hospitalized sample of critically ill patients. Hence, the results are not generalizable to light or moderate COVID-19 cases.</p><p id="para0042" class="elsevierStylePara elsevierViewall">Because of the selected sample, some parts of the analysis may suffer from selection bias and effects, such as collider and missing bias.</p><p id="para0043" class="elsevierStylePara elsevierViewall">The authors did not collect data regarding the specific type of immunosuppression and thus, our results could not ascertain the risk for each specific type.</p></span></span><span id="sec0013" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0021">Conclusion</span><p id="para0044" class="elsevierStylePara elsevierViewall">Decreased ambulation capacity, age, race, length of ICU stay, immunosuppression, and mechanical ventilation were associated with a high risk of in-hospital death due to COVID-19.</p></span><span id="sec0014" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0022">Ethical approval</span><p id="para0045" class="elsevierStylePara elsevierViewall">This study was approved by the Ethics Committee of the Hospital das Clinicas of the Medical School of the University of São Paulo, Brazil (4.052.246) Certificate of Presentation for Ethical Appreciation.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0023">Authors’ contributions</span><p id="para0046" class="elsevierStylePara elsevierViewall">There is no conflict of interest on the part of the authors.</p></span><span id="sec0015a" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0023a">CRediT authorship contribution statement</span><p id="para0046a" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Erika Christina Gouveia e Silva:</span> Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Project administration. <span class="elsevierStyleBold">Ana Carolina Basso Schmitt:</span> Methodology, Validation, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Project administration. <span class="elsevierStyleBold">Caroline Gil de Godoy:</span> Methodology, Validation, Resources, Data curation, Investigation, Writing – review & editing. <span class="elsevierStyleBold">Amislaine Cristina Gambeta:</span> Validation, Resources, Writing – review & editing. <span class="elsevierStyleBold">Celso Ricardo Fernandes de Carvalho:</span> Validation, Resources, Writing – review & editing. <span class="elsevierStyleBold">Carolina Fu:</span> Validation, Resources, Writing – review & editing. <span class="elsevierStyleBold">Clarice Tanaka:</span> . <span class="elsevierStyleBold">Carlos Toufen Junior:</span> . <span class="elsevierStyleBold">Carlos Roberto Ribeiro de Carvalho:</span> . <span class="elsevierStyleBold">José Eduardo Pompeu:</span> Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing – review & editing, Project administration.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1953962" "titulo" => "HIGHLIGHTS" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abss0001" ] ] ] 1 => array:3 [ "identificador" => "xres1953961" "titulo" => "ABSTRACT" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abss0003" "titulo" => "Importance" ] 1 => array:2 [ "identificador" => "abss0004" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abss0005" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abss0006" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abss0007" "titulo" => "Conclusion and relevance" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec1682070" "titulo" => "Keywords" ] 3 => array:2 [ "identificador" => "sec0001" "titulo" => "Introduction" ] 4 => array:3 [ "identificador" => "sec0002" "titulo" => "Methods" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0003" "titulo" => "Study design and participants" ] 1 => array:2 [ "identificador" => "sec0004" "titulo" => "Statistical analysis" ] ] ] 5 => array:3 [ "identificador" => "sec0005" "titulo" => "Results" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0006" "titulo" => "Ambulation capacity and comorbidities (Table 1)" ] 1 => array:2 [ "identificador" => "sec0007" "titulo" => "Ambulation capacity and Mechanical ventilation (Table 1)" ] 2 => array:2 [ "identificador" => "sec0008" "titulo" => "Ambulation capacity and in-hospital death (Table 1)" ] 3 => array:2 [ "identificador" => "sec0009" "titulo" => "Ambulation capacity and clinical and sociodemographic characteristics according to outcome (in-hospital death or discharge) (Table 2)" ] 4 => array:2 [ "identificador" => "sec0010" "titulo" => "Predictors of in-hospital death (Table 3)" ] ] ] 6 => array:3 [ "identificador" => "sec0011" "titulo" => "Discussion" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0012" "titulo" => "Strengths and limitations" ] ] ] 7 => array:2 [ "identificador" => "sec0013" "titulo" => "Conclusion" ] 8 => array:2 [ "identificador" => "sec0014" "titulo" => "Ethical approval" ] 9 => array:2 [ "identificador" => "sec0015" "titulo" => "Authors’ contributions" ] 10 => array:2 [ "identificador" => "sec0015a" "titulo" => "CRediT authorship contribution statement" ] 11 => array:2 [ "identificador" => "xack684928" "titulo" => "Funding/ Acknowledgements" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2022-04-13" "fechaAceptado" => "2022-06-22" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1682070" "palabras" => array:5 [ 0 => "COVID-19" 1 => "Adult" 2 => "Older Adult" 3 => "Hospitalisation" 4 => "Ambulation Capacity" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "ABSTRACT" "resumen" => "<span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Importance</span><p id="spara008" class="elsevierStyleSimplePara elsevierViewall">Despite ambulation capacity being associated with a decreased level of physical activity and survival may be influenced by the functional capacity, studies have not addressed the association between ambulation capacity and death in patients hospitalized by COVID-19.</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Objective</span><p id="spara009" class="elsevierStyleSimplePara elsevierViewall">To verify the functional, clinical, and sociodemographic risk factors associated with in-hospital death in individuals with severe COVID-19.</p></span> <span id="abss0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Methods</span><p id="spara010" class="elsevierStyleSimplePara elsevierViewall">It is a cohort retrospective study performed at a large tertiary hospital. Patients 18 years of age or more, of both sexes, hospitalized due to severe COVID-19 were included. Cases with dubious medical records and/or missing essential data were excluded. Patients were classified according to their ambulation capacity before the COVID-19 infection. Information regarding sociodemographic characteristics, in-hospital death, total hospital stays, Intensive Care Unit (ICU) stays, and the necessity of Mechanical Ventilation (MV) were collected from medical records and registered in a RedCap database. Multiple logistic regression analysis was used to identify possible factors associated with the in-hospital death rate.</p></span> <span id="abss0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0006">Results</span><p id="spara011" class="elsevierStyleSimplePara elsevierViewall">Data from 1110 participants were included in the statistical analysis. The median age of the patients was 57 (46‒66) years, 58.42% (n = 590) were male, and 61.73% (n = 602) were brown or black. The case fatality rate during hospitalization was 36.0% (n = 363). In-hospital death was associated with ambulation capacity; dependent ambulators (OR = 2.3; CI 95% = 1.2–4.4) and non-functional ambulation (OR = 1.9; CI 95% = 1.1–3.3), age [older adults (OR = 3.0; CI 95% = 1.9‒4.), ICU stays (OR = 1.4; CI 95% = 1.2‒1.4), immunosuppression (OR = 5.5 CI 95% = 2.3‒13.5) and mechanical ventilation (OR = 27.5; CI 95% = 12.0–62.9).</p></span> <span id="abss0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0007">Conclusion and relevance</span><p id="spara012" class="elsevierStyleSimplePara elsevierViewall">Decreased ambulation capacity, age, length of ICU stay, immunosuppression, and mechanical ventilation was associated with a high risk of in-hospital death due to COVID-19.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abss0003" "titulo" => "Importance" ] 1 => array:2 [ "identificador" => "abss0004" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abss0005" "titulo" => "Methods" ] 3 => array:2 [ "identificador" => "abss0006" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abss0007" "titulo" => "Conclusion and relevance" ] ] ] ] "multimedia" => array:3 [ 0 => array:8 [ "identificador" => "tbl0001" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0001" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Data are expressed as median and or interquartile (Q1 and Q3); number of patients and percentage; n (%), Percentage of patients; ICU, intensive care unit; VM, Mechanical Ventilation; KW, Kruskal Wallis test; X<span class="elsevierStyleSup">2</span>, Chi-Squared test.</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"><a name="en0001"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " align="left" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">Independent ambulator \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">Dependent ambulator \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">Non-Functional ambulator \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0005"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">Total \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0006"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " align="left" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0008"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">n = 686 (67.85%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0009"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">n = 119 (11.77%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0010"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">n = 206 (20.38%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0011"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">(n = 1011) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0013"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.012<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0019"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (45‒66) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">62 (50‒71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (47‒65) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (46‒66) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0025"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Wave n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0031"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">First Wave \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">381 (74.56) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">83 (16.24) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">47 (9.20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">511 (50.59) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0037"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Second Wave \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">305 (61.12) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">36 (7.21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">158 (31.67) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">499 (49.41) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0043"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age group n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.013<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0049"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">394 (69.49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">52 (9.17) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">121 (21.34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">567 (56.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0055"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Older Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">292 (65.91) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">67 (15.12) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">84 (19.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">443 (43.86) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0061"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Sexes n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0065"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0066"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.681<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0067"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Female \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">279 (66.43) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0069"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">51 (12.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">90 (21.43) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">420 (41.58) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0073"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Male \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">407 (68.98) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">68 (11.53) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0076"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">115 (19.49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0077"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">590 (58.42) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0079"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Race n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0081"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0085"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">White \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">230 (60.37) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">37 (9.71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">114 (29.92) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0089"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">377 (38.27) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0091"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Brown/Black \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">437 (72.35) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0093"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">79 (13.08) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">88 (14.57) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">602 (61.73) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0097"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Habits n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0103"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Smoking \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0104"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">96 (72.73) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0105"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">24 (18.18) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0106"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">12 (9.09) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0107"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">132 (13.39) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0108"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0109"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Alcoholism \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0110"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">20 (76.92) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 (11.54) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0112"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 (11.54) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0113"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">26 (2.64) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0114"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.483<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0115"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Number of comorbidities, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0116"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0117"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0118"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0119"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0120"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.001<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0121"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0122"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (0‒3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0123"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 (0.7‒3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (0‒2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (0‒3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0127"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Comorbidities n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0129"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0133"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Cardiovascular disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0134"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">106 (70.20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">19 (12.58) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">26 (17.22) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">151 (14.95) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0138"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.588<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0139"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">COPD \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0140"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">40 (70.18) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0141"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 (12.28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0142"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">10 (17.54) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0143"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (5.64) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0144"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.868<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0145"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Renal disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0146"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">12 (80.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0147"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 (13.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (6.67) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">15 (1.49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.416<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0151"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Systemic arterial hypertension \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0152"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">254 (67.73) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0153"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">50 (13.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0154"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">71 (18.94) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0155"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">375 (37.13) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0156"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.0413<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0157"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Diabetes Mellitus \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0158"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">199 (69.34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0159"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">44 (15.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0160"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">44 (15.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0161"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">287 (28.42) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0162"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.010<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0163"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Obesity \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">166 (67.21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0165"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">29 (11.74) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0166"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">52 (21.05) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0167"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">246 (24.36) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0168"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.943<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0169"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Hepatic disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0170"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 (57.85) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0171"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5 (38.46) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0172"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (7.69) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0173"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">13 (1.29) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0174"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.009<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0175"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Hematological disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">9 (81.82) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0177"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 (18.18) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0178"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0 (0.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0179"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">11 (1.09) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0180"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.228<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0181"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Dyslipidemia \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0182"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">75 (71.43) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0183"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">13 (12.38) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0184"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">17 (16.19) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0185"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">106 (10.50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0186"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.543<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0187"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Neurological disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">14 (48.28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0189"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 (24.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0190"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8 (27.58) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0191"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">29 (2.87) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0192"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.042<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0193"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Immunosuppression \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0194"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">50 (72.46) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0195"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">11 (15.94) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0196"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8 (11.60) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0197"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">69 (6.83) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0198"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.130<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0199"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of hospital stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0200"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0203"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0204"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.017<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0205"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0206"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16 (10‒27) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0207"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">21 (12‒32) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0208"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">15 (8‒26) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0209"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16 (10‒28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0210"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0211"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of ICU stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0212"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0213"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0216"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.020<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0217"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0218"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">11 (6‒20.25) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0219"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">13 (7‒23.50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0220"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">12 (7‒21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0221"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">12 (6‒21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0222"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0223"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">VM n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0224"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0225"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0226"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.006<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0229"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0230"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">223 (63.35) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0231"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">40 (11.36) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0232"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">89 (25.29) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0233"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">352 (53.50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0234"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0235"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Older Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0236"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">201 (65.69) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0237"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">45 (14.71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0238"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">60 (19.60) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0239"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">306 (46.50) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0240"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0241"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Death n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0242"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0243"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0244"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0245"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0246"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">KW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0247"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0248"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">86 (56.21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0249"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">21 (13.73) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0250"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">46 (30.06) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0251"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">153 (42.15) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0252"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0253"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Older Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0254"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">128 (60.95) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0255"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">33 (15.71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0256"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">49 (23.34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0257"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">210 (57.85) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0258"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3252581.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">Patient demographic and clinical characteristics by ambulation capacity before hospitalisation.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0002" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0002" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara004" class="elsevierStyleSimplePara elsevierViewall">Data are expressed as median and interquartile (Q1 and Q3) or number of patients and percentage; n (%), Percentage of patients; ICU, Intensive Care Unit; VM, Mechanical ventilation; MW, Mann-Whitney <span class="elsevierStyleItalic">U</span> test; X2, Chi-Squared test; COPD, Chronic Obstructive Pulmonary Disease.</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"><a name="en0259"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0260"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Death</th><a name="en0261"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " align="left" valign="top" scope="col">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><a name="en0262"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0263"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Yes (n = 364) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0264"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">No (n = 647) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0266"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0267"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0268"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0269"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">MW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0270"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0271"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">62 (51‒70) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0272"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">55 (44‒63) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0273"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0274"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age group n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0275"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0276"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0277"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">MW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0278"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0279"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">154 (27.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0280"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">414 (72.89) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0281"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0282"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Older Adults \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0283"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">210 (47.40) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0284"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">233 (52.60) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0285"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0286"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Sexes n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0287"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0288"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0289"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0290"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Female \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0291"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">110 (26.13) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0292"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">311 (73.87) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0293"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0294"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Male \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0295"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">254 (43.05) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0296"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">336 (56.95) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0297"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0298"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Race n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0299"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0300"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0301"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0302"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">White \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0303"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">103 (27.03) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0304"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">278 (72.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0305"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0306"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Brown / Black \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0307"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">259 (42.80) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0308"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">346 (57.20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0309"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0310"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Wave n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0311"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0312"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0313"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0314"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">First wave \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0315"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">220 (43.05) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0316"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">291 (56.95) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0317"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0318"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Second wave \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0319"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">144 (28.80) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0320"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">356 (71.20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0321"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0322"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Habits n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0323"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0324"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0325"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0326"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Smoking \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0327"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">62 (46.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0328"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">70 (53.03) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0329"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.010<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0330"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Alcoholism \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0331"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">13 (50.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0332"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">13 (50.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0333"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.160<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0334"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Number of comorbidities n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0335"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0336"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0337"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.100<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0338"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0339"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2 (0‒3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0340"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (0‒2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0341"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0342"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Comorbidities n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0343"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0344"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0345"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0346"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Cardiovascular disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0347"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">50 (33.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0348"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">101 (66.89) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0349"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.422<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0350"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">COPD \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0351"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">19 (33.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0352"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">38 (66.67) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0353"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.665<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0354"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Renal disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0355"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8 (53.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0356"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 (46.67) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0357"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.159<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0358"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Arterial hypertension \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0359"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">146 (38.93) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0360"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">229 (61.07) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0361"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.136<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0362"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Diabetes Mellitus \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0363"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">103 (35.89) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0364"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">184 (64.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0365"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.962<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0366"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Obesity \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0367"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">71 (28.63) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0368"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">177 (71.37) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0369"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.005<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0370"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Dyslipidaemia \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0371"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">48 (45.71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0372"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (54.29) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0373"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.029<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0374"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Hepatic disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0375"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6 (46.15) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0376"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7 (53.85) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0377"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.443<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0378"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Neurologic disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0379"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">11 (37.93) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0380"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">18 (62.07) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0381"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.826<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0382"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Haematological disease \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0383"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3 (27.27) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0384"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8 (72.73) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0385"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.544<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0386"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Immunosuppression \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0387"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">39 (56.52) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0388"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">30 (43.48) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0389"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0390"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of hospital stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0391"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0392"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0393"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.004<span class="elsevierStyleSup">MW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0394"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0395"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">18 (10‒30) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0396"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">15 (9‒24.25) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0397"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0398"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of ICU stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0399"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0400"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0401"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">MW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0402"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Median (Q1, Q3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0403"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">10 (4‒19) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0404"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">14 (8‒23) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0405"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0406"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">VM n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0407"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0408"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0409"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">X2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0410"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0411"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">347 (52.74) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0412"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">311 (47.27) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0413"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0414"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0415"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">17 (4.83) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0416"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">335 (95.17) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0417"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0418"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Ambulation Capacity n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0419"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0420"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0421"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001<span class="elsevierStyleSup">MW</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0422"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Independent ambulator \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0423"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">214 (31.19) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0424"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">472 (68.81) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0425"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0426"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Dependent ambulator \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0427"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">54 (45.38) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0428"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">65 (54.62) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0429"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0430"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Non-Functional ambulator \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0431"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">95 (46.34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0432"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">110 (53.66) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0433"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3252582.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Demographic and clinical characteristics of in-hospital deaths among patients with COVID-19.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0003" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0003" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara006" class="elsevierStyleSimplePara elsevierViewall">MV, Mechanical Ventilation; Ref, Reference; OR, Odds Ratio; 95% IC, Confidence Interval 95%; p, significance.</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"><a name="en0434"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="top" scope="col">Demographic and clinical characteristics</th><a name="en0435"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Death</th></tr><tr title="table-row"><a name="en0436"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black"></th><a name="en0437"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95% IC) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0438"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">p-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0439"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Older Adult</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0440"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0441"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.0 (1.9‒4.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0442"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0443"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Male</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0444"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0445"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.5 (1.6‒3.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0446"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0447"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Brown / Black</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0448"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0449"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.8 (1.1‒3.1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0450"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.028 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0451"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Immunosuppression</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0452"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0453"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.5 (2.3‒13.5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0454"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0455"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Length of hospital stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0456"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0457"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.7 (0.6‒0.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0458"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0459"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Length of ICU stay (days)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0460"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0461"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.4 (1.2‒1.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0462"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0463"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">MV</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0464"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0465"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">27.5 (12.0–62.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0466"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0467"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="3" align="left" valign="top"><span class="elsevierStyleBold">Ambulator</span></td><a name="en0468"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Independent \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0469"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ref \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0470"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0472"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Dependent \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0473"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.3 (1.2–4.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0474"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.014 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0476"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Non-Functional \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0477"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.9 (1.1–3.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0478"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.032 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0479"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">Second Wave</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0480"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0481"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.3 (0.7–2.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0482"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.402 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3252580.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara005" class="elsevierStyleSimplePara elsevierViewall">Logistic regression model adjusted for in-hospital deaths.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec1" "bibliografiaReferencia" => array:35 [ 0 => array:3 [ "identificador" => "bib0001" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "COVID-19, a worldwide public health emergency" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "M Palacios Cruz" 1 => "E Santos" 2 => "MA Velázquez Cervantes" 3 => "M León Juárez" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.rceng.2020.03.001" "Revista" => array:7 [ "tituloSerie" => "Rev Clin Esp (Barc)" "fecha" => "2021" "volumen" => "221" "numero" => "1" "paginaInicial" => "55" "paginaFinal" => "61" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33998479" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0002" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Survival, and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "MM Santos" 1 => "EES Lucena" 2 => "KC Lima" 3 => "AAC Brito" 4 => "MB Bay" 5 => "D. Bonfada" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1017/S0950268820002034" "Revista" => array:5 [ "tituloSerie" => "Epidemiol Infect" "fecha" => "2020" "volumen" => "148" "paginaInicial" => "e198" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32892789" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0003" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Z Zheng" 1 => "F Peng" 2 => "B Xu" 3 => "J Zhao" 4 => "H Liu" 5 => "J Peng" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jinf.2020.08.009" "Revista" => array:7 [ "tituloSerie" => "J Infect" "fecha" => "2020" "volumen" => "81" "numero" => "2" "paginaInicial" => "e16" "paginaFinal" => "e25" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32800797" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0004" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The association of race and COVID-19 mortality" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "L Golestaneh" 1 => "J Neugarten" 2 => "M Fisher" 3 => "HH Billett" 4 => "MR Gil" 5 => "T Johns" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:3 [ "tituloSerie" => "E Clinical Medicine" "fecha" => "2020" "volumen" => "25" ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0005" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Racial and gender-based differences in COVID-19" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "J Kopel" 1 => "A Perisetti" 2 => "A Roghani" 3 => "M Aziz" 4 => "M Gajendran" 5 => "H. Goyal" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3389/fpubh.2020.00418" "Revista" => array:5 [ "tituloSerie" => "Front Public Health" "fecha" => "2020" "volumen" => "8" "paginaInicial" => "418" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32850607" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0006" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Morbimortalidade pela COVID-19 segundo raça/cor/etnia: a experiência do Brasil e dos Estados Unidos" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "EM Araújo" 1 => "KL Caldwell" 2 => "MPA Santos" 3 => "IM Souza" 4 => "PL Ferreira Santa Rosa" 5 => "ABS Santos" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Saúde Debate" "fecha" => "2020" "volumen" => "44" "numero" => "4" "paginaInicial" => "119" "paginaFinal" => "205" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0007" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Gait speed and survival in older adults" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S Studenski" 1 => "S Perera" 2 => "K Patel" 3 => "C Rosano" 4 => "K Faulkner" 5 => "M Inzitari" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/jama.2010.1923" "Revista" => array:7 [ "tituloSerie" => "JAMA" "fecha" => "2011" "volumen" => "305" "numero" => "1" "paginaInicial" => "50" "paginaFinal" => "58" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21205966" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0008" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Physical functional performance and prognosis in patients with heart failure: a systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "IJ Fuentes-Abolafio" 1 => "B Stubbs" 2 => "LM Pérez-Belmonte" 3 => "MR Bernal-López" 4 => "R Gómez-Huelgas" 5 => "AI. Cuesta-Vargas" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s12872-020-01725-5" "Revista" => array:6 [ "tituloSerie" => "BMC Cardiovasc Disord" "fecha" => "2020" "volumen" => "20" "numero" => "1" "paginaInicial" => "512" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33297975" "web" => "Medline" ] ] ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0009" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence and predictors of death and severe disease in patients hospitalized due to COVID-19: A comprehensive systematic review and meta-analysis of 77 studies and 38,000 patients" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "K Dorjee" 1 => "H Kim" 2 => "E Bonomo" 3 => "R. Dolma" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "PLoS One" "fecha" => "2020" "volumen" => "15" "numero" => "12" ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0010" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: a study in 48 440 adult patients" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R Sallis" 1 => "DR Young" 2 => "SY Tartof" 3 => "JF Sallis" 4 => "J Sall" 5 => "Q Li" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/bjsports-2021-104080" "Revista" => array:7 [ "tituloSerie" => "Br J Sports Med" "fecha" => "2021" "volumen" => "55" "numero" => "19" "paginaInicial" => "1099" "paginaFinal" => "1105" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33849909" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0011" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Improving gait efficiency to increase movement and physical activity - The impact of abnormal gait patterns and strategies to correct" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "L Slater" 1 => "NM Gilbertson" 2 => "AS. Hyngstrom" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.pcad.2020.12.003" "Revista" => array:6 [ "tituloSerie" => "Prog Cardiovasc Dis" "fecha" => "2021" "volumen" => "64" "paginaInicial" => "83" "paginaFinal" => "87" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33359569" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0012" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "An international physical activity and public health research agenda to inform coronavirus disease-2019 policies and practices" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "JF Sallis" 1 => "D Adlakha" 2 => "A Oyeyemi" 3 => "D. Salvo" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jshs.2020.05.005" "Revista" => array:7 [ "tituloSerie" => "J Sport Health Sci" "fecha" => "2020" "volumen" => "9" "numero" => "4" "paginaInicial" => "328" "paginaFinal" => "334" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32450160" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0013" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Predictive validity, and responsiveness of the functional ambulation category in hemiparetic patients after stroke" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "J Mehrholz" 1 => "K Wagner" 2 => "K Rutte" 3 => "D Meissner" 4 => "M. Pohl" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.apmr.2007.06.764" "Revista" => array:7 [ "tituloSerie" => "Arch Phys Med Rehabil" "fecha" => "2007" "volumen" => "88" "numero" => "10" "paginaInicial" => "1314" "paginaFinal" => "1319" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17908575" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0014" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Characterisation of the first 250 000 hospital admissions for COVID-19 in Brazil: a retrospective analysis of nationwide data" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "OT Ranzani" 1 => "LSL Bastos" 2 => "JGM Gelli" 3 => "JF Marchesi" 4 => "F Baião" 5 => "S Hamacher" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S2213-2600(20)30560-9" "Revista" => array:7 [ "tituloSerie" => "Lancet Respir Med" "fecha" => "2021" "volumen" => "9" "numero" => "4" "paginaInicial" => "407" "paginaFinal" => "418" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33460571" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0015" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The prevalence of symptoms in 24,410 adults infected by the novel coronavirus (SARS-CoV-2; COVID-19): A systematic review and meta-analysis of 148 studies from 9 countries" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "MC Grant" 1 => "L Geoghegan" 2 => "M Arbyn" 3 => "Z Mohammed" 4 => "L McGuinness" 5 => "EL Clarke" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "PLoS One" "fecha" => "2020" "volumen" => "15" "numero" => "6" ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0016" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Novel coronavirus 2019-nCoV: prevalence, biological and clinical characteristics comparison with SARS-CoV and MERS-CoV" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "SA Meo" 1 => "AM Alhowikan" 2 => "T Al-Khlaiwi" 3 => "IM Meo" 4 => "DM Halepoto" 5 => "M Iqbal" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.26355/eurrev_202002_20379" "Revista" => array:7 [ "tituloSerie" => "Eur Rev Med Pharmacol Sci" "fecha" => "2020" "volumen" => "24" "numero" => "4" "paginaInicial" => "2012" "paginaFinal" => "2019" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32141570" "web" => "Medline" ] ] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0017" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "M Hamer" 1 => "M Kivimäki" 2 => "CR Gale" 3 => "GD. Batty" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.bbi.2020.05.059" "Revista" => array:6 [ "tituloSerie" => "Brain Behav Immun" "fecha" => "2020" "volumen" => "87" "paginaInicial" => "184" "paginaFinal" => "187" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32454138" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0018" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Study of the association between gait variability and physical activity" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "D Ciprandi" 1 => "F Bertozzi" 2 => "M Zago" 3 => "CLP Ferreira" 4 => "G Boari" 5 => "C Sforza" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s11556-017-0188-0" "Revista" => array:5 [ "tituloSerie" => "Eur Rev Aging Phys Act" "fecha" => "2017" "volumen" => "14" "paginaInicial" => "19" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29177018" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0020" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Consequences of physical inactivity in older adults: A systematic review of reviews and meta-analyses" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "C Cunningham" 1 => "R O' Sullivan" 2 => "P Caserotti" 3 => "MA. Tully" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/sms.13616" "Revista" => array:7 [ "tituloSerie" => "Scand J Med Sci Sports" "fecha" => "2020" "volumen" => "30" "numero" => "5" "paginaInicial" => "816" "paginaFinal" => "827" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32020713" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0021" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Hospitalization and mortality among black patients and white patients with Covid-19" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "EG Price-Haywood" 1 => "J Burton" 2 => "D Fort" 3 => "L. Seoane" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/NEJMsa2011686" "Revista" => array:7 [ "tituloSerie" => "N Engl J Med" "fecha" => "2020" "volumen" => "382" "numero" => "26" "paginaInicial" => "2534" "paginaFinal" => "2543" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32459916" "web" => "Medline" ] ] ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0022" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Association of social and demographic factors with COVID-19 incidence and death rates in the US" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "M Karmakar" 1 => "PM Lantz" 2 => "R. Tipirneni" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "JAMA Network Open" "fecha" => "2021" "volumen" => "4" "numero" => "1" ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0023" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Genetics of hypertension in african americans and others of african descent" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "M Zilbermint" 1 => "F Hannah-Shmouni" 2 => "CA. Stratakis" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3390/ijms20051081" "Revista" => array:6 [ "tituloSerie" => "Int J Mol Sci" "fecha" => "2019" "volumen" => "20" "numero" => "5" "paginaInicial" => "1081" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30832344" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0024" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical-Pathological Correlation of the Pathophysiology and Mechanism of Action of COVID-19 ‒ a Primer for Clinicians" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "J Chee" 1 => "WS Loh" 2 => "Z Liu" 3 => "J Mullol" 4 => "Y. Wang" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s11882-021-01015-w" "Revista" => array:6 [ "tituloSerie" => "Curr Allergy Asthma Rep" "fecha" => "2021" "volumen" => "21" "numero" => "6" "paginaInicial" => "38" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34259961" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0025" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Obesity aggravates COVID-19: A systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J Yang" 1 => "J Hu" 2 => "C. Zhu" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1002/jmv.26237" "Revista" => array:7 [ "tituloSerie" => "J Med Virol" "fecha" => "2021" "volumen" => "93" "numero" => "1" "paginaInicial" => "257" "paginaFinal" => "261" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32603481" "web" => "Medline" ] ] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0026" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Obesity in patients with COVID-19: a systematic review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Y Huang" 1 => "Y Lu" 2 => "YM Huang" 3 => "M Wang" 4 => "W Ling" 5 => "Y Sui" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:3 [ "tituloSerie" => "Metabolism" "fecha" => "2020" "volumen" => "113" ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib0027" "etiqueta" => "26" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Dyslipidaemia and mortality in COVID-19 patients: a meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "M Zuin" 1 => "G Rigatelli" 2 => "C Bilato" 3 => "C Cervellati" 4 => "G Zuliani" 5 => "L. Roncon" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/qjmed/hcab071" "Revista" => array:7 [ "tituloSerie" => "QJM" "fecha" => "2021" "volumen" => "114" "numero" => "6" "paginaInicial" => "390" "paginaFinal" => "397" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33822215" "web" => "Medline" ] ] ] ] ] ] ] ] 26 => array:3 [ "identificador" => "bib0028" "etiqueta" => "27" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Aging in COVID-19: vulnerability, immunity and intervention" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Y Chen" 1 => "SL Klein" 2 => "BT Garibaldi" 3 => "H Li" 4 => "C Wu" 5 => "NM Osevala" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:3 [ "tituloSerie" => "Ageing Res Rev" "fecha" => "2021" "volumen" => "65" ] ] ] ] ] ] 27 => array:3 [ "identificador" => "bib0029" "etiqueta" => "28" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical characteristics of older patients infected with COVID-19: A descriptive study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S Niu" 1 => "S Tian" 2 => "J Lou" 3 => "X Kang" 4 => "L Zhang" 5 => "H Lian" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:3 [ "tituloSerie" => "Arch Gerontol Geriatr" "fecha" => "2020" "volumen" => "89" ] ] ] ] ] ] 28 => array:3 [ "identificador" => "bib0030" "etiqueta" => "29" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Case fatality rates for patients with COVID-19 requiring invasive mechanical ventilation. a meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "ZJ Lim" 1 => "A Subramaniam" 2 => "M Ponnapa Reddy" 3 => "G Blecher" 4 => "U Kadam" 5 => "A Afroz" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1164/rccm.202006-2405OC" "Revista" => array:7 [ "tituloSerie" => "Am J Respir Crit Care Med" "fecha" => "2021" "volumen" => "203" "numero" => "1" "paginaInicial" => "54" "paginaFinal" => "66" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33119402" "web" => "Medline" ] ] ] ] ] ] ] ] 29 => array:3 [ "identificador" => "bib0031" "etiqueta" => "30" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Post-intensive care syndrome and its new challenges in coronavirus disease 2019 (COVID-19) pandemic: a review of recent advances and perspectives" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "N Nakanishi" 1 => "K Liu" 2 => "D Kawakami" 3 => "Y Kawai" 4 => "T Morisawa" 5 => "T Nishida" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3390/jcm10173870" "Revista" => array:6 [ "tituloSerie" => "J Clin Med" "fecha" => "2021" "volumen" => "10" "numero" => "17" "paginaInicial" => "3870" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34501316" "web" => "Medline" ] ] ] ] ] ] ] ] 30 => array:3 [ "identificador" => "bib0032" "etiqueta" => "31" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Protocol for Functional Assessment of Adults and Older Adults after Hospitalization for COVID-19" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "CG Godoy" 1 => "ECGE Silva" 2 => "DB Oliveira" 3 => "AC Gambeta" 4 => "EMD Silva" 5 => "CM Campos" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.6061/clinics/2021/e3030" "Revista" => array:5 [ "tituloSerie" => "Clinics (Sao Paulo)" "fecha" => "2021" "volumen" => "76" "paginaInicial" => "e3030" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34133486" "web" => "Medline" ] ] ] ] ] ] ] ] 31 => array:3 [ "identificador" => "bib0033" "etiqueta" => "32" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Physical and pulmonary capacities of individuals with severe coronavirus disease after hospital discharge: A preliminary cross-sectional study based on cluster analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "AC Alonso" 1 => "PR Silva-Santos" 2 => "MSL Quintana" 3 => "VC Silva" 4 => "GC Brech" 5 => "LG Barbosa" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.6061/clinics/2021/e3540" "Revista" => array:5 [ "tituloSerie" => "Clinics (Sao Paulo)" "fecha" => "2021" "volumen" => "76" "paginaInicial" => "e3540" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/34852146" "web" => "Medline" ] ] ] ] ] ] ] ] 32 => array:3 [ "identificador" => "bib0034" "etiqueta" => "33" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Z Zheng" 1 => "F Peng" 2 => "B Xu" 3 => "J Zhao" 4 => "H Liu" 5 => "J Peng" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jinf.2020.08.009" "Revista" => array:7 [ "tituloSerie" => "J Infect" "fecha" => "2020" "volumen" => "81" "numero" => "2" "paginaInicial" => "e16" "paginaFinal" => "e25" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32800797" "web" => "Medline" ] ] ] ] ] ] ] ] 33 => array:3 [ "identificador" => "bib0035" "etiqueta" => "34" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The effects of hormones on sex differences in infection: from genes to behavior" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "SL. Klein" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/s0149-7634(00)00027-0" "Revista" => array:7 [ "tituloSerie" => "Neurosci Biobehav Rev" "fecha" => "2000" "volumen" => "24" "numero" => "6" "paginaInicial" => "627" "paginaFinal" => "638" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/10940438" "web" => "Medline" ] ] ] ] ] ] ] ] 34 => array:3 [ "identificador" => "bib0036" "etiqueta" => "35" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Trends in the prevalence of COVID-19 infection in Rio Grande do Sul, Brazil: repeated serological surveys" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "PC Hallal" 1 => "BL Horta" 2 => "AJD Barros" 3 => "OA Dellagostin" 4 => "FP Hartwig" 5 => "LC Pellanda" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1590/1413-81232020256.1.09632020" "Revista" => array:7 [ "tituloSerie" => "Cien Saude Colet" "fecha" => "2020" "volumen" => "25" "numero" => "1" "paginaInicial" => "2395" "paginaFinal" => "2401" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32520284" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack684928" "titulo" => "Funding/ Acknowledgements" "texto" => "<p id="para0049" class="elsevierStylePara elsevierViewall">Special acknowledgements to: Conselho Nacional de Desenvolvimento CNPq (402698/2020-7 and 312279/2018-3); São Paulo State Research Support Foundation FAPESP (19618-8/2018) and to Thiago Pedroni Moraes, Gladis Aparecida de Faria, Vilson Cobello Junior e Gisele Regina Pereira of the Nucleo Especializado de Tecnologia de Informação do HCFMUSP.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/18075932/000000770000000C/v3_202308251443/S1807593222032768/v3_202308251443/en/main.assets" "Apartado" => array:4 [ "identificador" => "94924" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/18075932/000000770000000C/v3_202308251443/S1807593222032768/v3_202308251443/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222032768?idApp=UINPBA00004N" ]
Year/Month | Html | Total | |
---|---|---|---|
2024 November | 2 | 0 | 2 |
2024 October | 32 | 26 | 58 |
2024 September | 35 | 26 | 61 |
2024 August | 44 | 24 | 68 |
2024 July | 32 | 22 | 54 |
2024 June | 30 | 14 | 44 |
2024 May | 33 | 15 | 48 |
2024 April | 46 | 17 | 63 |
2024 March | 47 | 16 | 63 |
2024 February | 54 | 19 | 73 |
2024 January | 57 | 18 | 75 |
2023 December | 39 | 20 | 59 |
2023 November | 61 | 40 | 101 |
2023 October | 71 | 31 | 102 |
2023 September | 61 | 30 | 91 |
2023 August | 65 | 12 | 77 |
2023 July | 34 | 21 | 55 |
2023 June | 36 | 12 | 48 |
2023 May | 49 | 10 | 59 |
2023 April | 31 | 5 | 36 |
2023 March | 9 | 6 | 15 |
2023 February | 7 | 5 | 12 |
2023 January | 23 | 4 | 27 |
2022 December | 22 | 2 | 24 |
2022 November | 0 | 0 | 0 |