Original article
Comparison of different prognostic scores for patients with cirrhosis hospitalized with SARS-CoV-2 infection
Manuel Mendizabala,b,
, Ezequiel Ridruejob,c, Federico Piñeroa,b, Margarita Andersb,d, Martín Padillae, Luis G. Torof, Aldo Torreg, Pedro Montesh, Alvaro Urzúai, Esteban Gonzalez Ballergaj, María Dolores Silveyrak, Douglas Michelatol, Javier Díazm, Mirta Peraltab,n, Josefina Pagesa,b, Sandro Ruiz Garcíao, Isabel Gutierrez Lozanop, Yuridia Maciasq, Daniel Cocozzellab,r, Norberto Chavez-Tapias..., Martín Taglet, Alejandra Dominguezu, Adriana Varónb,v, Emilia Vera Pozow, Fátima Higuera-de la Tijerax, Carla Bustiosy, Damián Contez, Nataly EscajadilloA, Andrés J GómezB, Laura Tenoriom, Mauricio Castillo BarradasC, Maria Isabel Schinonib,D, Fernando BessoneE, Fernando ContrerasF, Leyla NazalG, Abel SanchezH, Matías Garcíac, Julia Bruttik, María Cecilia Cabrerah, Godolfino Miranda-Zazuetag, German Rojasj, Maximo Cattaneoi, Graciela Castro-Narros, Fernando RubinsteinI, Marcelo O. Silvaa,bVer más
Corresponding author
mmendiza@hospitalaustral.edu.ar
Corresponding author at: Unidad de Hígado y Trasplante Hepático, Hospital Universitario Austral, Avenida Juan D. Perón 1500, Pilar, B1629AHJ Provincia de Buenos Aires, Argentina.
Corresponding author at: Unidad de Hígado y Trasplante Hepático, Hospital Universitario Austral, Avenida Juan D. Perón 1500, Pilar, B1629AHJ Provincia de Buenos Aires, Argentina.
a Hepatology and Liver Transplant Unit, Hospital Universitario Austral, Universidad Austral, Pilar, Argentina
b Latin American Liver Research Educational and Awareness Network (LALREAN)
c Liver Section, Centro de Educación Médica e Investigaciones Clínicas, Buenos Aires, Argentina
d Hepatology and Liver Transplant Unit, Hospital Alemán, Buenos Aires, Argentina
e Gastroenterology Unit, Hospital Nacional Guillermo Almenara Irigoyen, Lima, Perú
f Hepatology and Liver Transplant Unit, Hospitales de San Vicente Fundación de Medellín y Rionegro, Medellín, Colombia
g Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición, Ciudad de México, México
h Gastroenterology Unit, Hospital Nacional Daniel A. Carrión, Callao, Perú
i Gastroenterology Section, Internal Medicine Department, Hospital Clínico de la Universidad de Chile, Santiago, Chile
j Department of Gastroenterology, Hospital de Clínicas José de San Martín, Universidad de Buenos Aires, Buenos Aires, Argentina
k Department of Internal Medicine, Sanatorio Anchorena, Buenos Aires, Argentina
l Hospital Especializado en Enfermedades Infecciosas Instituto Couto Maia, Salvador de Bahía, Brazil
m Hospital Nacional Edgardo Rebagliati Martins, Lima, Perú
n Intensive Care Unit, Hospital de Infecciosas Francisco J Muñiz, Buenos Aires, Argentina
o Gastroenterology Unit, Hospital de Víctor Lazarte Echegaray, Trujillo, Perú
p Department of Internal Medicine, Centro Médico ABC, Ciudad de México, México
q Department of Medicine, IMSS Hospital General Regional No. 1 “Dr. Carlos Mc Gregor Sánchez”, Ciudad de México, Mexico
r Department of Gastroenterology, Hospital Italiano de La Plata, La Plata, Argentina
s Medica Sur Clinic & Foundation, Ciudad de México, Mexico
t Gastroenterology Unit, Clínica Anglo-Americana, Lima, Perú
u Department of Gastroenterology, Hospital Padre Hurtado, Santiago, Chile
v Liver Unit, Fundación Cardio-Infantil, Bogotá, Colombia
w Hospital Regional Dr. Teodoro Maldonado Carbo del IESS, Guayaquil, Ecuador
x Department of Gastroenterology and Hepatology, Hospital General de México “Dr. Eduardo Liceaga”, Ciudad de México, México
y Gastroenterology Unit, Clínica Delgado, Lima, Perú
z Unidad de Hígado, Hospital Privado de Córdoba, Córdoba, Argentina
A Gastroenterology Unit, Hospital Nacional Almanzor Aguinaga Asenjo, Chiclayo, Perú
B Endoscopy and Transplant Service, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
C Gastroenterology Unit, Hospital de Especialidades del Centro Médico Nacional La Raza IMSS, Ciudad de México, México
D Department of Gastroenterology, Hospital Alianza, Bahía, Brazil
E Department of Gastroenterology, Hospital Provincial del Centenario, Rosario, Argentina
F Department of Gastroenterology, CEDIMAT, Santo Domingo, Dominican Republic
G Department of Gastroenterology, Clínica Las Condes, Santiago, Chile
H Department of Gastroenterology, Hospital Roosevelt, Ciudad de Guatemala, Guatemala
I Instituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina
Ver másRead
2055
Timeswas read the article
396
Total PDF
1659
Total HTML
Share statistics
array:24 [ "pii" => "S1665268121000491" "issn" => "16652681" "doi" => "10.1016/j.aohep.2021.100350" "estado" => "S300" "fechaPublicacion" => "2021-11-01" "aid" => "100350" "copyright" => "Fundación Clínica Médica Sur, A.C." "copyrightAnyo" => "2021" "documento" => "article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2021;25C:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:18 [ "pii" => "S1665268121000466" "issn" => "16652681" "doi" => "10.1016/j.aohep.2021.100347" "estado" => "S300" "fechaPublicacion" => "2021-11-01" "aid" => "100347" "documento" => "simple-article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "cor" "cita" => "Ann Hepatol. 2021;25C:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:8 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Letters to the editor</span>" "titulo" => "Reply to: The presence of diabetes impacts liver fibrosis and steatosis by transient elastography in a primary care population" "tienePdf" => "en" "tieneTextoCompleto" => "en" "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Hirsh D. Trivedi, Michael P. Curry, Michelle Lai" "autores" => array:3 [ 0 => array:2 [ "nombre" => "Hirsh D." "apellidos" => "Trivedi" ] 1 => array:2 [ "nombre" => "Michael P." "apellidos" => "Curry" ] 2 => array:2 [ "nombre" => "Michelle" "apellidos" => "Lai" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268121000466?idApp=UINPBA00004N" "url" => "/16652681/000000250000000C/v5_202112240929/S1665268121000466/v5_202112240929/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1665268121000612" "issn" => "16652681" "doi" => "10.1016/j.aohep.2021.100362" "estado" => "S300" "fechaPublicacion" => "2021-11-01" "aid" => "100362" "copyright" => "Fundación Clínica Médica Sur, A.C." "documento" => "article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2021;25C:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:11 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Characteristics and outcomes of hospitalized patients with Wilson’s disease in the United States: A national survey" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "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" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2066 "Ancho" => 1372 "Tamanyo" => 167477 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Study schematic: Analysis of the National Inpatient Sample for Inpatient Characteristics and Hospital Outcomes.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Na Li, Somashekar G. Krishna, Alice Hinton, Darwin L. Conwell, Khalid Mumtaz" "autores" => array:5 [ 0 => array:2 [ "nombre" => "Na" "apellidos" => "Li" ] 1 => array:2 [ "nombre" => "Somashekar G." "apellidos" => "Krishna" ] 2 => array:2 [ "nombre" => "Alice" "apellidos" => "Hinton" ] 3 => array:2 [ "nombre" => "Darwin L." "apellidos" => "Conwell" ] 4 => array:2 [ "nombre" => "Khalid" "apellidos" => "Mumtaz" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268121000612?idApp=UINPBA00004N" "url" => "/16652681/000000250000000C/v5_202112240929/S1665268121000612/v5_202112240929/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Comparison of different prognostic scores for patients with cirrhosis hospitalized with SARS-CoV-2 infection" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Manuel Mendizabal, Ezequiel Ridruejo, Federico Piñero, Margarita Anders, Martín Padilla, Luis G. Toro, Aldo Torre, Pedro Montes, Alvaro Urzúa, Esteban Gonzalez Ballerga, María Dolores Silveyra, Douglas Michelato, Javier Díaz, Mirta Peralta, Josefina Pages, Sandro Ruiz García, Isabel Gutierrez Lozano, Yuridia Macias, Daniel Cocozzella, Norberto Chavez-Tapia, Martín Tagle, Alejandra Dominguez, Adriana Varón, Emilia Vera Pozo, Fátima Higuera-de la Tijera, Carla Bustios, Damián Conte, Nataly Escajadillo, Andrés J Gómez, Laura Tenorio, Mauricio Castillo Barradas, Maria Isabel Schinoni, Fernando Bessone, Fernando Contreras, Leyla Nazal, Abel Sanchez, Matías García, Julia Brutti, María Cecilia Cabrera, Godolfino Miranda-Zazueta, German Rojas, Maximo Cattaneo, Graciela Castro-Narro, Fernando Rubinstein, Marcelo O. Silva" "autores" => array:45 [ 0 => array:4 [ "nombre" => "Manuel" "apellidos" => "Mendizabal" "email" => array:1 [ 0 => "mmendiza@hospitalaustral.edu.ar" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Ezequiel" "apellidos" => "Ridruejo" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 2 => array:3 [ "nombre" => "Federico" "apellidos" => "Piñero" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "Margarita" "apellidos" => "Anders" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 4 => array:3 [ "nombre" => "Martín" "apellidos" => "Padilla" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "nombre" => "Luis G." "apellidos" => "Toro" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0030" ] ] ] 6 => array:3 [ "nombre" => "Aldo" "apellidos" => "Torre" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">g</span>" "identificador" => "aff0035" ] ] ] 7 => array:3 [ "nombre" => "Pedro" "apellidos" => "Montes" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">h</span>" "identificador" => "aff0040" ] ] ] 8 => array:3 [ "nombre" => "Alvaro" "apellidos" => "Urzúa" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">i</span>" "identificador" => "aff0045" ] ] ] 9 => array:3 [ "nombre" => "Esteban" "apellidos" => "Gonzalez Ballerga" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">j</span>" "identificador" => "aff0050" ] ] ] 10 => array:3 [ "nombre" => "María Dolores" "apellidos" => "Silveyra" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">k</span>" "identificador" => "aff0055" ] ] ] 11 => array:3 [ "nombre" => "Douglas" "apellidos" => "Michelato" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">l</span>" "identificador" => "aff0060" ] ] ] 12 => array:3 [ "nombre" => "Javier" "apellidos" => "Díaz" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">m</span>" "identificador" => "aff0065" ] ] ] 13 => array:3 [ "nombre" => "Mirta" "apellidos" => "Peralta" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">n</span>" "identificador" => "aff0070" ] ] ] 14 => array:3 [ "nombre" => "Josefina" "apellidos" => "Pages" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 15 => array:3 [ "nombre" => "Sandro Ruiz" "apellidos" => "García" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">o</span>" "identificador" => "aff0075" ] ] ] 16 => array:3 [ "nombre" => "Isabel" "apellidos" => "Gutierrez Lozano" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">p</span>" "identificador" => "aff0080" ] ] ] 17 => array:3 [ "nombre" => "Yuridia" "apellidos" => "Macias" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">q</span>" "identificador" => "aff0085" ] ] ] 18 => array:3 [ "nombre" => "Daniel" "apellidos" => "Cocozzella" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">r</span>" "identificador" => "aff0090" ] ] ] 19 => array:3 [ "nombre" => "Norberto" "apellidos" => "Chavez-Tapia" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">s</span>" "identificador" => "aff0095" ] ] ] 20 => array:3 [ "nombre" => "Martín" "apellidos" => "Tagle" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">t</span>" "identificador" => "aff0100" ] ] ] 21 => array:3 [ "nombre" => "Alejandra" "apellidos" => "Dominguez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">u</span>" "identificador" => "aff0105" ] ] ] 22 => array:3 [ "nombre" => "Adriana" "apellidos" => "Varón" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">v</span>" "identificador" => "aff0110" ] ] ] 23 => array:3 [ "nombre" => "Emilia" "apellidos" => "Vera Pozo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">w</span>" "identificador" => "aff0115" ] ] ] 24 => array:3 [ "nombre" => "Fátima" "apellidos" => "Higuera-de la Tijera" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">x</span>" "identificador" => "aff0120" ] ] ] 25 => array:3 [ "nombre" => "Carla" "apellidos" => "Bustios" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">y</span>" "identificador" => "aff0125" ] ] ] 26 => array:3 [ "nombre" => "Damián" "apellidos" => "Conte" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">z</span>" "identificador" => "aff0130" ] ] ] 27 => array:3 [ "nombre" => "Nataly" "apellidos" => "Escajadillo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">A</span>" "identificador" => "aff0135" ] ] ] 28 => array:3 [ "nombre" => "Andrés J" "apellidos" => "Gómez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">B</span>" "identificador" => "aff0140" ] ] ] 29 => array:3 [ "nombre" => "Laura" "apellidos" => "Tenorio" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">m</span>" "identificador" => "aff0065" ] ] ] 30 => array:3 [ "nombre" => "Mauricio" "apellidos" => "Castillo Barradas" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">C</span>" "identificador" => "aff0145" ] ] ] 31 => array:3 [ "nombre" => "Maria Isabel" "apellidos" => "Schinoni" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">D</span>" "identificador" => "aff0150" ] ] ] 32 => array:3 [ "nombre" => "Fernando" "apellidos" => "Bessone" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">E</span>" "identificador" => "aff0155" ] ] ] 33 => array:3 [ "nombre" => "Fernando" "apellidos" => "Contreras" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">F</span>" "identificador" => "aff0160" ] ] ] 34 => array:3 [ "nombre" => "Leyla" "apellidos" => "Nazal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">G</span>" "identificador" => "aff0165" ] ] ] 35 => array:3 [ "nombre" => "Abel" "apellidos" => "Sanchez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">H</span>" "identificador" => "aff0170" ] ] ] 36 => array:3 [ "nombre" => "Matías" "apellidos" => "García" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 37 => array:3 [ "nombre" => "Julia" "apellidos" => "Brutti" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">k</span>" "identificador" => "aff0055" ] ] ] 38 => array:3 [ "nombre" => "María Cecilia" "apellidos" => "Cabrera" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">h</span>" "identificador" => "aff0040" ] ] ] 39 => array:3 [ "nombre" => "Godolfino" "apellidos" => "Miranda-Zazueta" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">g</span>" "identificador" => "aff0035" ] ] ] 40 => array:3 [ "nombre" => "German" "apellidos" => "Rojas" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">j</span>" "identificador" => "aff0050" ] ] ] 41 => array:3 [ "nombre" => "Maximo" "apellidos" => "Cattaneo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">i</span>" "identificador" => "aff0045" ] ] ] 42 => array:3 [ "nombre" => "Graciela" "apellidos" => "Castro-Narro" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">s</span>" "identificador" => "aff0095" ] ] ] 43 => array:3 [ "nombre" => "Fernando" "apellidos" => "Rubinstein" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">I</span>" "identificador" => "aff0175" ] ] ] 44 => array:3 [ "nombre" => "Marcelo O." "apellidos" => "Silva" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:35 [ 0 => array:3 [ "entidad" => "Hepatology and Liver Transplant Unit, Hospital Universitario Austral, Universidad Austral, Pilar, Argentina" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Latin American Liver Research Educational and Awareness Network (LALREAN)" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Liver Section, Centro de Educación Médica e Investigaciones Clínicas, Buenos Aires, Argentina" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Hepatology and Liver Transplant Unit, Hospital Alemán, Buenos Aires, Argentina" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Gastroenterology Unit, Hospital Nacional Guillermo Almenara Irigoyen, Lima, Perú" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Hepatology and Liver Transplant Unit, Hospitales de San Vicente Fundación de Medellín y Rionegro, Medellín, Colombia" "etiqueta" => "f" "identificador" => "aff0030" ] 6 => array:3 [ "entidad" => "Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición, Ciudad de México, México" "etiqueta" => "g" "identificador" => "aff0035" ] 7 => array:3 [ "entidad" => "Gastroenterology Unit, Hospital Nacional Daniel A. Carrión, Callao, Perú" "etiqueta" => "h" "identificador" => "aff0040" ] 8 => array:3 [ "entidad" => "Gastroenterology Section, Internal Medicine Department, Hospital Clínico de la Universidad de Chile, Santiago, Chile" "etiqueta" => "i" "identificador" => "aff0045" ] 9 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital de Clínicas José de San Martín, Universidad de Buenos Aires, Buenos Aires, Argentina" "etiqueta" => "j" "identificador" => "aff0050" ] 10 => array:3 [ "entidad" => "Department of Internal Medicine, Sanatorio Anchorena, Buenos Aires, Argentina" "etiqueta" => "k" "identificador" => "aff0055" ] 11 => array:3 [ "entidad" => "Hospital Especializado en Enfermedades Infecciosas Instituto Couto Maia, Salvador de Bahía, Brazil" "etiqueta" => "l" "identificador" => "aff0060" ] 12 => array:3 [ "entidad" => "Hospital Nacional Edgardo Rebagliati Martins, Lima, Perú" "etiqueta" => "m" "identificador" => "aff0065" ] 13 => array:3 [ "entidad" => "Intensive Care Unit, Hospital de Infecciosas Francisco J Muñiz, Buenos Aires, Argentina" "etiqueta" => "n" "identificador" => "aff0070" ] 14 => array:3 [ "entidad" => "Gastroenterology Unit, Hospital de Víctor Lazarte Echegaray, Trujillo, Perú" "etiqueta" => "o" "identificador" => "aff0075" ] 15 => array:3 [ "entidad" => "Department of Internal Medicine, Centro Médico ABC, Ciudad de México, México" "etiqueta" => "p" "identificador" => "aff0080" ] 16 => array:3 [ "entidad" => "Department of Medicine, IMSS Hospital General Regional No. 1 “Dr. Carlos Mc Gregor Sánchez”, Ciudad de México, Mexico" "etiqueta" => "q" "identificador" => "aff0085" ] 17 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital Italiano de La Plata, La Plata, Argentina" "etiqueta" => "r" "identificador" => "aff0090" ] 18 => array:3 [ "entidad" => "Medica Sur Clinic & Foundation, Ciudad de México, Mexico" "etiqueta" => "s" "identificador" => "aff0095" ] 19 => array:3 [ "entidad" => "Gastroenterology Unit, Clínica Anglo-Americana, Lima, Perú" "etiqueta" => "t" "identificador" => "aff0100" ] 20 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital Padre Hurtado, Santiago, Chile" "etiqueta" => "u" "identificador" => "aff0105" ] 21 => array:3 [ "entidad" => "Liver Unit, Fundación Cardio-Infantil, Bogotá, Colombia" "etiqueta" => "v" "identificador" => "aff0110" ] 22 => array:3 [ "entidad" => "Hospital Regional Dr. Teodoro Maldonado Carbo del IESS, Guayaquil, Ecuador" "etiqueta" => "w" "identificador" => "aff0115" ] 23 => array:3 [ "entidad" => "Department of Gastroenterology and Hepatology, Hospital General de México “Dr. Eduardo Liceaga”, Ciudad de México, México" "etiqueta" => "x" "identificador" => "aff0120" ] 24 => array:3 [ "entidad" => "Gastroenterology Unit, Clínica Delgado, Lima, Perú" "etiqueta" => "y" "identificador" => "aff0125" ] 25 => array:3 [ "entidad" => "Unidad de Hígado, Hospital Privado de Córdoba, Córdoba, Argentina" "etiqueta" => "z" "identificador" => "aff0130" ] 26 => array:3 [ "entidad" => "Gastroenterology Unit, Hospital Nacional Almanzor Aguinaga Asenjo, Chiclayo, Perú" "etiqueta" => "A" "identificador" => "aff0135" ] 27 => array:3 [ "entidad" => "Endoscopy and Transplant Service, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia" "etiqueta" => "B" "identificador" => "aff0140" ] 28 => array:3 [ "entidad" => "Gastroenterology Unit, Hospital de Especialidades del Centro Médico Nacional La Raza IMSS, Ciudad de México, México" "etiqueta" => "C" "identificador" => "aff0145" ] 29 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital Alianza, Bahía, Brazil" "etiqueta" => "D" "identificador" => "aff0150" ] 30 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital Provincial del Centenario, Rosario, Argentina" "etiqueta" => "E" "identificador" => "aff0155" ] 31 => array:3 [ "entidad" => "Department of Gastroenterology, CEDIMAT, Santo Domingo, Dominican Republic" "etiqueta" => "F" "identificador" => "aff0160" ] 32 => array:3 [ "entidad" => "Department of Gastroenterology, Clínica Las Condes, Santiago, Chile" "etiqueta" => "G" "identificador" => "aff0165" ] 33 => array:3 [ "entidad" => "Department of Gastroenterology, Hospital Roosevelt, Ciudad de Guatemala, Guatemala" "etiqueta" => "H" "identificador" => "aff0170" ] 34 => array:3 [ "entidad" => "Instituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina" "etiqueta" => "I" "identificador" => "aff0175" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author at: Unidad de Hígado y Trasplante Hepático, Hospital Universitario Austral, Avenida Juan D. Perón 1500, Pilar, B1629AHJ Provincia de Buenos Aires, Argentina." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1503 "Ancho" => 2091 "Tamanyo" => 127896 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">28-day cumulative survival of patients with and without cirrhosis.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">1</span><span class="elsevierStyleSectionTitle" id="sect0035">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the coronavirus disease 2019 (COVID-19), causes substantial pulmonary disease [<a class="elsevierStyleCrossRef" href="#bib0005">1</a>]. Patients with increased age and preexisting comorbid conditions, such as diabetes and obesity, are at increased risk of death [<a class="elsevierStyleCrossRef" href="#bib0005">1</a>]. Chronic liver disease and cirrhosis are common conditions presenting a systemic immunocompromised status [<a class="elsevierStyleCrossRef" href="#bib0010">2</a>]. Thus, bacterial infections are a common cause of liver-related complications in patients with cirrhosis [<a class="elsevierStyleCrossRef" href="#bib0015">3</a>]. Viral infections have been less described in this population. In a recent study from India, 82% of patients with cirrhosis and A/H1N1/09 infection died of pneumonia and acute respiratory distress syndrome (ARDS), with bacterial or fungal infection in some cases [<a class="elsevierStyleCrossRef" href="#bib0020">4</a>]. Circulating cytokines and chemokines have been proposed to further contribute to hepatocyte and endothelial damage and the consequent hepatic decompensation [<a class="elsevierStyleCrossRef" href="#bib0025">5</a>].</p><p id="par0010" class="elsevierStylePara elsevierViewall">SARS-CoV-2 infection in patients with cirrhosis has been associated with detrimental outcomes. We know from different retrospective studies that mortality in this population is high, ranging from 16% to 42% [<a class="elsevierStyleCrossRefs" href="#bib0030">6–10</a>]. A large international study identified greater age and alcohol-related liver disease as risk factors for death in patients with cirrhosis hospitalized for COVID-19 [<a class="elsevierStyleCrossRef" href="#bib0045">9</a>]. As expected, high rates of acute hepatic decompensation and acute-on-chronic liver failure (ACLF) were also observed in patients with cirrhosis and SARS-CoV-2 infection [<a class="elsevierStyleCrossRefs" href="#bib0035">7–9</a>]. However, the prognostic performance of different scoring systems to predict mortality in patients with cirrhosis have not been completely evaluated.</p><p id="par0015" class="elsevierStylePara elsevierViewall">COVID-19 pandemic has affected later in Latin America, giving us the unique opportunity to build a multinational prospective registry. Abnormal liver tests on admission were independently associated with increased mortality in patients with no history of liver disease [<a class="elsevierStyleCrossRef" href="#bib0055">11</a>]. Thus, we now sought to evaluate the impact of COVID-19 on the clinical outcome of hospitalized patients with cirrhosis and compare different prognostic scores ability to predict patient survival.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2</span><span class="elsevierStyleSectionTitle" id="sect0040">Patients</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2.1</span><span class="elsevierStyleSectionTitle" id="sect0045">Study design, setting and participating centers</span><p id="par0020" class="elsevierStylePara elsevierViewall">This prospective cohort study was performed from April 15, 2020 through September 15, 2020 in 38 Hospitals from Argentina, Brazil, Chile, Colombia, Dominican Republic, Ecuador, Guatemala, Mexico, Paraguay, Peru and Uruguay. The study was supported and coordinated by the Latin American Association for the Study of the Liver, Viral Hepatitis Group of Interest and registered in an open public registry (NCT04358380; <a href="http://www.clinicaltrials.gov">www.clinicaltrials.gov</a>). Each Ethics Committee from all the participating centers approved the study protocol, following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [<a class="elsevierStyleCrossRef" href="#bib0060">12</a>]. The study followed ethical standards (institutional and national) and those mandated by the Helsinki Declaration of 1975, as revised in 2008. Authors had access to the study data, reviewed, and approved the final version of this manuscript.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2.2</span><span class="elsevierStyleSectionTitle" id="sect0050">Cohort characteristics and study variables</span><p id="par0025" class="elsevierStylePara elsevierViewall">Eligibility criteria for enrolment included patients ≥17 years old, hospitalized with SARS-CoV-2 infection confirmed by the real-time polymerase method (RT-PCR) as per the local site-specific protocol. In asymptomatic cases, a nasopharyngeal swab was obtained according to each country surveillance algorithm (i.e., contact with positive subjects). We also included patients admitted for a different condition and tested positive for COVID-19 during their hospitalization. Patients with high-clinical and epidemiological suspicion of SARS-CoV-2 without RT-PCR testing, those with solid organ transplantation, or pregnant were excluded. All eligible patients were enrolled at each clinical site. Cirrhosis and its etiology was determined by the site investigator or treating physician based on liver biopsy, liver elastography or a combination of clinical signs of portal hypertension (i.e. presence of gastroesophageal varices on endoscopy), biochemical parameters (i.e. presence of a platelet count less than 100.000/mm<span class="elsevierStyleSup">3</span>) and/or radiologic findings consistent with cirrhosis (i.e. splenomegaly (spleen larger than 120 mm on radiographic imaging) [<a class="elsevierStyleCrossRef" href="#bib0065">13</a>]. Study data were prospectively registered into a web-based electronic system. All patients were followed until discharge or death. Baseline exposure variables were collected for all enrolled subjects, including detailed demographic data, laboratory parameters and comorbid conditions. We also recorded the hospital course, and treatment regimens.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2.3</span><span class="elsevierStyleSectionTitle" id="sect0055">Liver disease evaluation</span><p id="par0030" class="elsevierStylePara elsevierViewall">Severity of liver disease was evaluated according to Child-Turcotte-Pugh (CTP) score, model for end-stage liver disease (MELD), and MELD-Na. Patients with cirrhosis who developed ascites, variceal bleeding or hepatic encephalopathy were classified as having acute decompensation. Acute-on-chronic liver failure (ACLF) was prospectively defined according to the European Association for the Study of the Liver Chronic Liver Failure (CLIF) consortium definition and by the North American Consortium for the Study of End-Stage Liver Disease (NACSELD) [<a class="elsevierStyleCrossRef" href="#bib0015">3</a>,<a class="elsevierStyleCrossRef" href="#bib0070">14</a>]. The Asian Pacific Association for the Study of the Liver ACLF criteria was not comprised in our analysis. This score includes patients without cirrhosis and excludes those with previous hepatic decompensation [<a class="elsevierStyleCrossRef" href="#bib0075">15</a>]. Thus, for each patient with cirrhosis who developed ACLF, NACSELD and CLIF-C scores were considered.</p><p id="par0035" class="elsevierStylePara elsevierViewall">To assess the impact of SARS-CoV-2 infection on clinical outcomes of hospitalized patients with cirrhosis, we compared clinical data, laboratory features, and survival of this cohort with that of a control group that included patients hospitalized with COVID-19 infection and no history of liver disease.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2.4</span><span class="elsevierStyleSectionTitle" id="sect0060">COVID-19 severity</span><p id="par0040" class="elsevierStylePara elsevierViewall">The severity of COVID-19 was classified based on clinical examination results, symptoms, chest radiography and medical support. Severe COVID-19 cases were defined as those who developed ARDS, required intensive care unit (ICU) monitoring, and/or ventilatory support as reported elsewhere [<a class="elsevierStyleCrossRef" href="#bib0030">6</a>].</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">2.5</span><span class="elsevierStyleSectionTitle" id="sect0065">Primary outcome and statistical analysis</span><p id="par0045" class="elsevierStylePara elsevierViewall">Categorical data were compared using Fisher’s exact test (2-tailed) or Chi-Square (X<span class="elsevierStyleSup">2</span>) test as appropriate. Continuous variables were reported with a mean (± standard deviation, SD) or median (Interquartile ranges 25–75%, IQR) and compared with Student’s T or Mann-Whitney U tests according to their respective distributions. Multivariable logistic regression was used to evaluate the association between cirrhosis and the odds of death (OR) with corresponding 95% confidence intervals (CI). We first fit univariate models to evaluate crude effects on mortality of prior medical history, clinical and laboratory findings on admission, then outcomes and treatment prescribed during hospitalization. We constructed the final multivariable models including exposure variables with a P-value <0.1 in univariate analysis, using a step-by-step procedure, in order to develop a parsimonious model. The final model’s performance was evaluated including calibration (Hosmer-Lemeshow goodness-of-fit test) and discrimination power through the area under the receiving operator curve (AUROC).</p><p id="par0050" class="elsevierStylePara elsevierViewall">We also used AUROC to determine the score accuracy (c-statistic) of baseline CTP score, MELD-Na, CLIF-C organ failure score and NACSELD, as predictors of 28 days in-hospital mortality in patients with cirrhosis. Data were analyzed with STATA 13.0 (StataCorp, Texas, USA).</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3</span><span class="elsevierStyleSectionTitle" id="sect0070">Results</span><p id="par0055" class="elsevierStylePara elsevierViewall">A cohort of 2286 patients hospitalized with SARS-CoV-2 infection were enrolled in the Latin American Association for the Study of the Liver registry. After excluding pregnant patients (n = 26) and those who underwent solid organ transplantation (n = 45), 2211 remained for the analysis (<span class="elsevierStyleBold">Supplementary Fig. 1</span>). Overall, 4.6% (CI 3.7–5.6) subjects had cirrhosis (n = 96). From the entire cohort, 8.6% (CI 7.2–9.6) were admitted for other causes and acquired SARS-CoV-2 infection during hospitalization (n = 186), including 7 patients with cirrhosis (7.3%). Baseline characteristics of the study population are displayed in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Radiological signs on admission showed pneumonia in 73.9% of the cohort (n = 1636). Common signs and symptoms reported by patients are presented in <span class="elsevierStyleBold">Supplementary Table 1</span>. Ninety-seven (4.4%) patients were asymptomatic at presentation.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3.1</span><span class="elsevierStyleSectionTitle" id="sect0075">Clinical features of patients with cirrhosis</span><p id="par0060" class="elsevierStylePara elsevierViewall">When compared to admitted patients without cirrhosis, patients with cirrhosis were older (53.8 ± 17.4 vs. 63.8 ± 12.5 years old; P < .0001), a higher proportion had diabetes (18.3% vs. 45.6%; P < .0001) and reported history of tobacco use (20.3% vs. 30.2%; P = 0.01) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). The most common etiologies of cirrhosis were non-alcoholic steatohepatitis in 44 patients, alcohol-induced in 22 cases, chronic hepatitis C in 6 individuals and cholestatic diseases in 5 subjects (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). Baseline CTP class on admission was assessed in 93 patients: CTP-A (23%), CTP-B (45%) and CTP-C (32%); median MELD was 15 (IQR 10−22) and median MELD-Na score was 19 (IQR 14−25). On admission, 15% patients were enlisted for liver transplantation (n = 14) and some grade of encephalopathy or ascites was present in 51.1% and 42.7% of the patients; respectively (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3.2</span><span class="elsevierStyleSectionTitle" id="sect0080">Clinical outcomes of patients with cirrhosis</span><p id="par0065" class="elsevierStylePara elsevierViewall">The cumulative mortality rate in the overall cohort was 17.7% (CI 16.1–19.3) after a median time since admission of 12 (IQR 6–20) days (n = 391). Mortality was significantly higher in patients with cirrhosis compared to those without cirrhosis (46.9% vs. 16.4%, P < .0001; respectively) (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). From the 46 patients with cirrhosis who died, the cause of death was secondary to COVID-19 lung disease in 36 (78.2%) and liver-related in 10 (21.8%) cases. Of those patients with cirrhosis who died, 4 acquired SARS-CoV-2 infection during hospitalization. Mortality rates in patients with cirrhosis increased according to CTP class; CTP-A (23.8%), CTP-B (40.5%) and CTP-C (66.7%). Patients with cirrhosis required more ICU-level care (P < .0001), developed more frequently severe COVID-19 during hospitalization (60.4% vs. 46.8%, P < .0001), and required more days of hospitalization (13.5 [IQR 7–22] vs. 9 [IQR 5–15], P = 0.0005). Thirty-four patients with cirrhosis received invasive ventilation, 24 (70.6%) for ARDS and 10 (29.4%) for encephalopathy progression. Clinical outcomes are described in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">During hospitalization, antibiotics were more commonly administered to patients with cirrhosis than those without cirrhosis (84.4% vs. 62.7%, P < .0001; respectively). Antiviral therapy with lopinavir/ritonavir was only used in the group of patients without cirrhosis (7.6% vs. 0%; P = 0.001). Overall, the proportion of patients receiving COVID-targeted therapy was significantly higher in those with cirrhosis compared to those without cirrhosis (98.9% vs. 76.6%, P < .0001; respectively). Treatment received by hospitalized patients with COVID-19 are reported in <span class="elsevierStyleBold">Supplementary Table 2</span>.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3.3</span><span class="elsevierStyleSectionTitle" id="sect0085">Association of cirrhosis with death</span><p id="par0075" class="elsevierStylePara elsevierViewall">We evaluated the effect of cirrhosis on the risk of mortality adjusted for other variables previously described to be associated with death. Baseline factors significantly associated with death by univariable analysis were age >65 years (OR 7.8, CI 5.7−10.7; P < .0001), male gender (OR 1.5, CI 1.2−1.9; P = 0.0003), hypertension (OR 2.2, CI 1.7−2.7; P < .0001), diabetes (OR 2.1, CI 1.6−2.7; P < .0001), cardiac disease (OR 2.1; CI 1.5−2.9; P < .0001), chronic kidney disease (OR 3.8; CI 2.5−5.8; P < .0001), BMI > 30 (OR 1.5, CI 1.1−1.9; P < .0001) and cirrhosis (OR 4.5, CI 2.9−6.8; P < .0001) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). Regarding the etiology of liver disease, we found no association with mortality (data not shown). Multivariable analysis of factors associated with death demonstrated persisting association between age >65 years (OR 7.2, 5.2−10.0; P < .0001), male gender (OR 1.8, CI 1.4−2.3; P < .0001), BMI > 30 (OR 1.7, CI 1.3−2.3, P < .0001 and cirrhosis (OR 3.1, CI 1.9−4.8; P < .0001) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). The model showed adequate calibration (P = 0.1) with an AUROC of 0.75 (CI 0.73−0.77).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">3.4</span><span class="elsevierStyleSectionTitle" id="sect0090">Acute decompensation and acute-on-chronic liver failure</span><p id="par0080" class="elsevierStylePara elsevierViewall">Within the 96 patients with cirrhosis, acute decompensation events or worsening of baseline clinical condition following hospitalization for SARS-CoV-2 infection were reported in 59 (61.4%) cases. Decompensation events included new or worsening encephalopathy 43 (48.3%), ascites 34 (38.2%) and variceal hemorrhage 28 (31.4%). Among the whole cirrhosis cohort, 53 (55.2%) and 29 (30%) patients developed ACLF according to CLIF-C organ failure score and NACSELD, respectively (<span class="elsevierStyleBold">Supplementary Fig. 1</span>). We used AUROC to assess the ability of scoring systems to predict 28-days mortality in patients with cirrhosis following hospitalization for SARS-CoV-2 infection. The AUROC of CLIF-C organ failure score (AUROC 0.85, CI 0.78−0.91) had better prognostic accuracy than CTP score (AUROC 0.67, CI 0.56−0.78), baseline MELD-Na (AUROC 0.70, CI 0.58−0.80), and NACSELD (AUROC 0.75, CI 0.66−0.84) (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). The AUROCs estimated for the CLIF-C organ failure score, CTP score, MELD-Na and NACSELD were compared in pairs and were significantly different for all cases (P = 0.009). Sensitivity, specificity, positive predictive value and negative predictive value of the four different scores regarding 28-days mortality rate are demonstrated in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleLabel">4</span><span class="elsevierStyleSectionTitle" id="sect0095">Discussion</span><p id="par0085" class="elsevierStylePara elsevierViewall">The results from this large Latin American prospective cohort study describe that patients with cirrhosis hospitalized with COVID-19 were more frequently admitted to ICU and had a significantly higher probability of developing severe COVID-19 than those individuals without cirrhosis. Moreover, patients with cirrhosis presented 3-fold increased mortality risk than those with no liver disease. Additionally, a high proportion of patients with cirrhosis developed either acute decompensation or ACLF. When comparing different scores to predict 28-day mortality in a head-to-head manner we found that CLIF-C definition has the better prognostic performance in this population.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Our observed mortality rate was strikingly higher than the rate reported in recently published studies from Europe and North America (30–34%) and similar to a small cohort from India (42%) [<a class="elsevierStyleCrossRefs" href="#bib0035">7–9</a>]. We can speculate that this might be the consequence of treating patients with advanced liver disease and multi-organ failure in a region with a fragile health care system. Despite this potential limitation, infected patients with cirrhosis have a uniformly worse crude prognosis compared to uninfected patients [<a class="elsevierStyleCrossRef" href="#bib0015">3</a>]. Whether SARS-CoV-2 infection outcomes are similar to other acute precipitants, including bacterial infection in patients developing ACLF, remains uncertain. A study from Italy reported significantly higher mortality in patients with cirrhosis and SARS-CoV-2 compared with bacterial infection [<a class="elsevierStyleCrossRef" href="#bib0035">7</a>]. Viral infections in patients with cirrhosis have also been associated with high mortality rates. Influenza virus infection has been associated with an 18% mortality rate in patients with cirrhosis [<a class="elsevierStyleCrossRef" href="#bib0080">16</a>]. Furthermore, in a study from India, 18 out of 22 patients with H1N1 infection and cirrhosis died of pneumonia and ARDS [<a class="elsevierStyleCrossRef" href="#bib0020">4</a>]. These studies underscore the concept that infections are associated with ACLF and excessive systemic inflammation leading to organ dysfunction through direct deleterious effects on microcirculatory homeostasis and mitochondrial function [<a class="elsevierStyleCrossRef" href="#bib0085">17</a>]. The accepted strategy for the management of ACLF is treating the precipitating factor whilst providing intensive monitoring and support of failing organs [<a class="elsevierStyleCrossRef" href="#bib0090">18</a>]. Specific treatment against SARS-CoV-2 was not standardized in our study. However, we did not find any specific therapy associated with increased survival (data not shown).</p><p id="par0095" class="elsevierStylePara elsevierViewall">Our observed rates of patients with cirrhosis and advanced liver disease (CTP B-C 77%) far exceeded the previously reported by the SECURE-cirrhosis registry (CTP B-C 56%) and by a study from Italy (CTP B-C 62%) [<a class="elsevierStyleCrossRef" href="#bib0035">7</a>,<a class="elsevierStyleCrossRef" href="#bib0045">9</a>]. We can speculate that this could be the consequence of many factors such as the strict and prolonged quarantine established in many Latin American countries that precluded patients with cirrhosis to be adequately monitored; the scarce availability of beds in the ICU in many cities despite having more time than Europe to condition the health system, and the SARS-CoV-2 infection that led to a rapid clinical deterioration of patients with cirrhosis. Only 33% of hospitalized patients with CTP-C cirrhosis survived, and mortality further increased in those receiving mechanical ventilation. The pandemic represents a challenging scenario for patients with cirrhosis and their treating physicians. We report a strong association between liver disease severity and death after SARS-CoV-2 infection, highlighting the importance of carefully monitoring these patients guided by individual risk, institutional resources and the local burden of COVID-19.</p><p id="par0100" class="elsevierStylePara elsevierViewall">In line with previous studies, we described lung injury as the predominant cause of death in patients with cirrhosis [<a class="elsevierStyleCrossRef" href="#bib0035">7</a>,<a class="elsevierStyleCrossRef" href="#bib0045">9</a>]. Liver-related complications accounted for only 22% of mortality in patients with cirrhosis from our cohort. Nevertheless, respiratory function had been severely compromised by SARS-CoV-2 since all of them required invasive ventilation. Severe ARDS was significantly more common in patients with cirrhosis compared with those without liver disease. This implicates liver dysfunction as a potential driver of ongoing lung injury. The mechanism for enhanced lung injury in patients with cirrhosis is probably multifactorial. It may include altered pulmonary function through worsening ascites or hepatic hydrothorax, impaired coagulation associated with venous thromboembolic disease and immune dysregulation.</p><p id="par0105" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic"></span>We evaluated the performance of different prognostic scores to determine mortality at 28-days in patients with cirrhosis. In our study, CLIF-C definition of ACLF has the best prognostic performance compared to NACSELD, MELD, and CTP. Moreover, the use of CLIF-C definition led to the diagnosis of a larger number of patients with ACLF. NACSELD presented a poor sensitivity for mortality prediction that can be explained by the restrictive nature of their diagnostic criteria for ACLF. Considering that there is still no consensus on which is the best score to determine 28-day mortality in patients with ACLF, our findings are similar to those reported by a Brazilian prospective study who described that CLIF-C had better performance in predicting mortality when compared to NACSELD criteria [<a class="elsevierStyleCrossRef" href="#bib0095">19</a>]. Interestingly, in a North American cohort Bajaj et al. described the Charlson Comorbidity Index to be independently associated with mortality in patients with cirrhosis and COVID-19 [<a class="elsevierStyleCrossRef" href="#bib0040">8</a>]. Furthermore, Iavarone et al. have proposed that the combination of CLIF-C and Charlson Comorbidity Index better predict survival in these patients [<a class="elsevierStyleCrossRef" href="#bib0100">20</a>]. One of the greatest contributions of these scores is to determine the futility of continued aggressive care in hospitalized patients with cirrhosis [<a class="elsevierStyleCrossRef" href="#bib0015">3</a>]. In patients with four organ failures in whom survival is unlikely, escalation of care and use of palliative care should be carefully evaluated. During the COVID-19 pandemic, we have learned that health care expenditures and human resources are valuable and limited supplies.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Our study´s major strength is the inclusion of a large and geographically diverse population, in which data collection and outcome measures have been clearly defined and prospectively collected. Additionally, comparing cases with contemporaneous patients without cirrhosis strengthens the association between liver disease severity and mortality described in patients with cirrhosis. However, we are aware that our study suffers certain limitations. First, few patients have fulfilled ACLF criteria according to NACSELD definition. However, this can be the consequence of a more severe definition of organ failures. Second, some major covariables can be missing in our registry given that we prioritize clinical data and well-known factors associated with poor outcomes. Third, given our study's design, we did not compare COVID-19-associated outcomes in patients with cirrhosis and SARS-CoV-2 infection who did not require hospitalization to those of persons without cirrhosis. Moreover, some patients with undiagnosed cirrhosis could have been incorrectly included in the group of patients with no cirrhosis. Finally, although SARS-CoV-2 infection was diagnosed as per the local site-specific protocol, algorithms followed their local epidemiological situation and available resources.</p><p id="par0115" class="elsevierStylePara elsevierViewall">In summary, in this large multicenter cohort from Latin America, we described that SARS-CoV-2 infection in cirrhosis patients is strongly associated with high rates of acute hepatic decompensation and death. Moreover, CLIF-C definition allowed a greater number of patients to be diagnosed with ACLF and better predicted 28-day mortality compared to NACSELD, CTP, and MELD-Na. Our findings highlight the need to follow the recommended preventive measures in patients with advanced liver disease during COVID-19 pandemic [<a class="elsevierStyleCrossRef" href="#bib0105">21</a>].<span class="elsevierStyleDefList"><span class="elsevierStyleSectionTitle" id="sect0100">Abbreviations</span><span class="elsevierStyleDefTerm">ACLF</span><span class="elsevierStyleDefDescription"><p id="par0120" class="elsevierStylePara elsevierViewall">acute-on-chronic liver failure</p></span><span class="elsevierStyleDefTerm">ARDS</span><span class="elsevierStyleDefDescription"><p id="par0125" class="elsevierStylePara elsevierViewall">acute respiratory distress syndrome</p></span><span class="elsevierStyleDefTerm">AUROC</span><span class="elsevierStyleDefDescription"><p id="par0130" class="elsevierStylePara elsevierViewall">area under the receiving operator curve</p></span><span class="elsevierStyleDefTerm">CLIF-C</span><span class="elsevierStyleDefDescription"><p id="par0135" class="elsevierStylePara elsevierViewall">Chronic Liver Failure Consortium</p></span><span class="elsevierStyleDefTerm">COVID-19</span><span class="elsevierStyleDefDescription"><p id="par0140" class="elsevierStylePara elsevierViewall">Coronavirus disease 2019</p></span><span class="elsevierStyleDefTerm">CTP</span><span class="elsevierStyleDefDescription"><p id="par0145" class="elsevierStylePara elsevierViewall">Child-Turcotte-Pugh</p></span><span class="elsevierStyleDefTerm">ICU</span><span class="elsevierStyleDefDescription"><p id="par0150" class="elsevierStylePara elsevierViewall">intensive care unit</p></span><span class="elsevierStyleDefTerm">MELD</span><span class="elsevierStyleDefDescription"><p id="par0155" class="elsevierStylePara elsevierViewall">model for end-stage liver disease</p></span><span class="elsevierStyleDefTerm">NACSELD</span><span class="elsevierStyleDefDescription"><p id="par0160" class="elsevierStylePara elsevierViewall">North American Consortium for the Study of End-Stage Liver Disease</p></span><span class="elsevierStyleDefTerm">SARS-CoV-2</span><span class="elsevierStyleDefDescription"><p id="par0165" class="elsevierStylePara elsevierViewall">severe acute respiratory syndrome coronavirus 2</p></span></span></p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Funding</span><p id="par0170" class="elsevierStylePara elsevierViewall">None.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conflict of interest</span><p id="par0175" class="elsevierStylePara elsevierViewall">None.</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Authorship</span><p id="par0180" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Contributorship Statement:</span> Dr. Manuel Mendizabal had full access to all of the data in the study and take responsibility for the integrity of data and accuracy of the data analysis.</p><p id="par0185" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Concept and design:</span> Drs. Marcelo O. Silva and Manuel Mendizabal.</p><p id="par0190" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Acquisition, analysis, or interpretation of data:</span> Drs. Manuel Mendizabal, Ezequiel Ridruejo, Federico Piñero, Margarita Anders, Martín Padilla, Luis G. Toro, Aldo Torre, Pedro Montes, Alvaro Urzúa, Esteban G. Ballerga, María D. Silveyra, Douglas Michelato, Javier Díaz, Mirta Peralta, Josefina Pages, Sandro R. García, Isabel G. Lozano, Yuridia Macias, Daniel Cocozzella, Norberto Chavez-Tapia, Martín Tagle, Alejandra Dominguez, Adriana Varón, Emilia V. Pozo, Fátima Higuera-de la Tijera, Carla Bustios, Damiá Conte, Nataly Escajadillo, Andrés J Gómez, Laura Tenorio, Mauricio Castillo Barradas, Maria Isabel Schinoni, Fernando Bessone, Fernando Contreras, Leyla Nazal, Abel Sanchez, Matías García, Julia Brutti, María Cecilia Cabrera, Godolfino Miranda-Zazueta, German Rojas, Maximo Cattaneo, Graciela Castro-Narro, Fernando Rubinstein and Marcelo O. Silva.</p><p id="par0195" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Drafting of the manuscript:</span> Dr. Manuel Mendizabal.</p><p id="par0200" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Critical revision of the manuscript for important intellectual content:</span> Drs. Manuel Mendizabal, Ezequiel Ridruejo, Federico Piñero, Margarita Anders, Martín Padilla, Luis G. Toro, Aldo Torre, Pedro Montes, Alvaro Urzúa, Esteban G. Ballerga, María D. Silveyra, Douglas Michelato, Javier Díaz, Mirta Peralta, Josefina Pages, Sandro R. García, Isabel G. Lozano, Yuridia Macias, Daniel Cocozzella, Norberto Chavez-Tapia, Martín Tagle, Alejandra Dominguez, Adriana Varón, Emilia V. Pozo, Fátima Higuera-de la Tijera, Carla Bustios, Damiá Conte, Nataly Escajadillo, Andrés J Gómez, Laura Tenorio, Mauricio Castillo Barradas, Maria Isabel Schinoni, Fernando Bessone, Fernando Contreras, Leyla Nazal, Abel Sanchez, Matías García, Julia Brutti, María Cecilia Cabrera, Godolfino Miranda-Zazueta, German Rojas, Maximo Cattaneo, Graciela Castro-Narro, Fernando Rubinstein and Marcelo O. Silva.</p><p id="par0210" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Supervision:</span> Drs. Ridruejo, Rubinstein, Silva.</p><p id="par0215" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Final approval of the version to be submitted:</span> Drs. Manuel Mendizabal, Ezequiel Ridruejo, Federico Piñero, Margarita Anders, Martín Padilla, Luis G. Toro, Aldo Torre, Pedro Montes, Alvaro Urzúa, Esteban G. Ballerga, María D. Silveyra, Douglas Michelato, Javier Díaz, Mirta Peralta, Josefina Pages, Sandro R. García, Isabel G. Lozano, Yuridia Macias, Daniel Cocozzella, Norberto Chavez-Tapia, Martín Tagle, Alejandra Dominguez, Adriana Varón, Emilia V. Pozo, Fátima Higuera-de la Tijera, Carla Bustios, Damiá Conte, Nataly Escajadillo, Andrés J Gómez, Laura Tenorio, Mauricio Castillo Barradas, Maria Isabel Schinoni, Fernando Bessone, Fernando Contreras, Leyla Nazal, Abel Sanchez, Matías García, Julia Brutti, María Cecilia Cabrera, Godolfino Miranda-Zazueta, German Rojas, Maximo Cattaneo, Graciela Castro-Narro, Fernando Rubinstein and Marcelo O. Silva.</p><p id="par0220" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Statistical analysis:</span> Drs. Manuel Mendizabal, Federico Piñero and Fernando Rubinstein.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1635265" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction and Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1458729" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 3 => array:3 [ "identificador" => "sec0010" "titulo" => "Patients" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study design, setting and participating centers" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Cohort characteristics and study variables" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Liver disease evaluation" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "COVID-19 severity" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Primary outcome and statistical analysis" ] ] ] 4 => array:3 [ "identificador" => "sec0040" "titulo" => "Results" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0045" "titulo" => "Clinical features of patients with cirrhosis" ] 1 => array:2 [ "identificador" => "sec0050" "titulo" => "Clinical outcomes of patients with cirrhosis" ] 2 => array:2 [ "identificador" => "sec0055" "titulo" => "Association of cirrhosis with death" ] 3 => array:2 [ "identificador" => "sec0060" "titulo" => "Acute decompensation and acute-on-chronic liver failure" ] ] ] 5 => array:2 [ "identificador" => "sec0065" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0070" "titulo" => "Funding" ] 7 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflict of interest" ] 8 => array:2 [ "identificador" => "sec0080" "titulo" => "Authorship" ] 9 => array:2 [ "identificador" => "xack577326" "titulo" => "Acknowledgements" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-01-11" "fechaAceptado" => "2021-03-05" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1458729" "palabras" => array:6 [ 0 => "COVID-19" 1 => "Death" 2 => "Pandemic" 3 => "Acute-on-chronic liver failure" 4 => "Coronavirus" 5 => "Cirrhosis" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction and Objectives</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Viral infections have been described to increase the risk of decompensation in patients with cirrhosis. We aimed to determine the effect of SARS-CoV-2 infection on outcome of hospitalized patients with cirrhosis and to compare the performance of different prognostic models for predicting mortality.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Patients</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">We performed a prospective cohort study including 2211 hospitalized patients with confirmed SARS-CoV-2 infection from April 15, 2020 through October 1, 2020 in 38 Hospitals from 11 Latin American countries. We registered clinical and laboratory parameters of patients with and without cirrhosis. All patients were followed until discharge or death. We evaluated the prognostic performance of different scoring systems to predict mortality in patients with cirrhosis using ROC curves.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Overall, 4.6% (CI 3.7–5.6) subjects had cirrhosis (n = 96). Baseline Child-Turcotte-Pugh (CTP) class was assessed: CTP-A (23%), CTP-B (45%) and CTP-C (32%); median MELD-Na score was 19 (IQR 14−25). Mortality was 47% in patients with cirrhosis and 16% in patients without cirrhosis (P < .0001). Cirrhosis was independently associated with death [OR 3.1 (CI 1.9−4.8); P < .0001], adjusted by age, gender, and body mass index >30. The areas under the ROC curves for performance evaluation in predicting 28-days mortality for Chronic Liver Failure Consortium (CLIF-C), North American Consortium for the Study of End-Stage Liver Disease (NACSELD), CTP score and MELD-Na were 0.85, 0.75, 0.69, 0.67; respectively (P < .0001).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">SARS-CoV-2 infection is associated with elevated mortality in patients with cirrhosis. CLIF-C had better performance in predicting mortality than NACSELD, CTP and MELD-Na in patients with cirrhosis and SARS-CoV-2 infection. Clinicaltrials.gov:NCT04358380.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction and Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Patients" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0240" class="elsevierStylePara elsevierViewall">The following are Supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia><elsevierMultimedia ident="upi0010"></elsevierMultimedia></p>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0090" ] ] ] ] "multimedia" => array:9 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1503 "Ancho" => 2091 "Tamanyo" => 127896 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">28-day cumulative survival of patients with and without cirrhosis.</p>" ] ] 1 => array:8 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1277 "Ancho" => 2340 "Tamanyo" => 131600 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0010" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Clinical outcomes of SARS-CoV-2 infection in patients with and without cirrhosis.</p>" ] ] 2 => array:8 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1530 "Ancho" => 2175 "Tamanyo" => 151139 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristic (ROC) curves and area under the curve (AUC) to determine the score accuracy for CLIF-C, NACSELD, baseline MELD-Na and baseline CTP as predictors of 28-day mortality for patients with SARS-CoV-2 infection and cirrhosis. The AUC were as follows: 0.85 for CLIF-C, 0.75 for NACSELD, 0.69 for MELD-Na and 0.67 for CTP.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0020" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Abbreviation: COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Total \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">No cirrhosis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Cirrhosis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">P \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">N = 2211 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">N = 2115 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">N = 96 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age, years (mean, ±SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54.3 (17.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53.8 (17.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63.8 (12.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Male sex, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1328 (60.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1297 (61.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58 (60.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.013 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Comorbidities, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">708 (32.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">700 (33.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38 (39.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.109 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">414 (18.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">388 (18.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (45.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>COPD/Asthma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">169 (7.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">163 (7.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (6.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.659 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiac disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">179 (8.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">169 (8.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (13.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.043 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cerebrovascular disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.621 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HIV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (0.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.023 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Chronic kidney disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97 (4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 (4.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (6.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.089 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Body Mass Index > 30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">383 (17.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">378 (17.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (21.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.195 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tobacco use, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">440 (19.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">429 (20.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (30.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.014 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ferritin ng/mL, median (IQR)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">567 (223−1105) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">535 (232−1088) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">542 (226−1625) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">C-Reactive Protein mg/dL, mean (IQR)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.4 (3.4−80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.9 (3.1−80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.5 (9.2−79.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2786372.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">1171 observations, 38 in cirrhotic.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">1585 observations, 74 in cirrhotic.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of patients hospitalized for COVID-19.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0025" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CLIF-C, Chronic Liver Failure Consortium; INR, international normatized ratio; MELD, model for end-stage liver disease;NACSELD, North American Consortium for the Study of End-Stage Liver Disease; WBC, white blood cells.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">N = 96 \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hemoglobin, mg/dL, mean (±SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.6 (2.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WBC/mm<span class="elsevierStyleSup">3</span>, mean (±SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9141 (6501) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Platelets, ×10<span class="elsevierStyleSup">9</span>/L, mean (±SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">132.1(94.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total bilirubin mg/dL, median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.5 (0.8−4.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Albumin, mg/dL, mean (± SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.8 (0.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">INR, mean (± SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.6 (0.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Creatinine, mg/dL median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 (0.7−1.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Enlisted for liver transplantation, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 (15.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Encephalopathy on admission, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>None \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">45 (48.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade I–II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31 (33.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade III–IV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (17.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ascites on admission, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>None-Mild \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51 (57.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Moderate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (31.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Severe \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (11.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Turcotte-Pugh, n (%)<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>A \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (22.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>B \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42 (45.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>C \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 (32.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Turcotte-Pugh, median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (7−11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MELD, median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 (10−22) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MELD-Na, median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (14−25) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Liver decompensation during hospitalization, n (%) * \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ascites (any grade) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (38.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Variceal hemorrhage \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (31.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Encephalopathy (any grade) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43 (48.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C ACLF, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (55.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade I \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (11.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (32.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade III \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 (56.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NACSELD-ACLF, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (30.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>2 organ failures \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (58.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>3 organ failures \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8 (27.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>4 organ failures \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (13.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2786373.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">93 observations.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of patients with cirrhosis and COVID-19 infection.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0030" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Note: Calibration P = 0.1 (Hosmer-Lemeshow) and discrimination for this model was ROC 0.75 (CI 0.73−0.77).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Baseline Exposure variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mortality rate (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Crude OR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted OR (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age, years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.1% (5.8−6-4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>50−65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.0% (14.1−20.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.1 (2.2−4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.8 (1.9−4.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>>65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33.9% (30.2−37.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.8 (5.7−10-7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.2 (5.2−10.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14.1% (10.3−14.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.3% (18.1−22.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.5 (1.2−1.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.8 (1.4−2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25.9% (22.9−3) 32.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.2 (1.7−2.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.8% (12.1−15.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.8% (23.5−32.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.1 (1.6−2.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.3% (13.7−17.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COPD/Asthma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.9% (15.0−27.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.2 (0.8−1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.192 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.4% (15.8−19.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cardiac disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.6% (23.0−36.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.1 (1.5−2.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.6% (14.9−18.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cerebrovascular disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25.9% (14.9−39.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.6 (0.9−3.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.102 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.5% (15.9−19.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HIV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.0% (5.4−41.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.1 (0.3−3.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.808 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.7% (15.9−19.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cancer \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.6% (13.3−29.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.6 (0.9−2.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.103 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.5% (15.9−19.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Chronic kidney disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43.3% (13.1−30.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.8 (2.5−5.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.5% (14.9−18.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Rheumatologic disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.6% (8.7−37.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.2 (0.5−2.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.655 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.6% (16.0−19.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Body mass index > 30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22.9% (16.6−25.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.5 (1.1−1.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7 (1.3−2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.6% (14.9−18.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Tobacco Active/Past \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22.3% (18.4−26.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 (0.8−13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.798 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.5% (14.7−18.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cirrhosis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">46.9% (36.6−57.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.5 (2.9−6.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.1 (1.9−4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.5% (17.8−21.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2786375.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Logistic regression analysis for the primary outcome (death) evaluating prior medical history. Odds Ratios (OR).</p>" ] ] 6 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0035" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Abbreviations: CLIF-C, Chronic Liver Failure Consortium; CTP, Child-Turcotte-Pugh; LR, log likelihood ratio; MELD-Na, model for end-stage liver disease; NACSELD, North American Consortium for the Study of End-stage Liver Disease; NPV, negative predictive value; PPV, positive predictive value.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Score \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">ROC (95% CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Sensitivity \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Specificity \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PPV \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">NPV \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.85 (0.78−0.91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NACSELD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 (0.66−0.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">59% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MELD-Na \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.69 (0.58−0.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CTP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67 (0.56−0.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2786374.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Ability of four scoring systems to predict 28-days mortality in patients with cirrhosis following hospitalization for SARS-CoV-2 infection.</p>" ] ] 7 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.docx" "ficheroTamanyo" => 16638 ] ] 8 => array:7 [ "identificador" => "upi0010" "etiqueta" => "Fig. S1" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc2.pptx" "ficheroTamanyo" => 701167 ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Flowchart of patients through the study.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:21 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "[1]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A.B. Docherty" 1 => "E.M. Harrison" 2 => "C.A. Green" 3 => "H.E. Hardwick" 4 => "R. Pius" 5 => "L. Norman" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/bmj.m1985" "Revista" => array:5 [ "tituloSerie" => "BMJ" "fecha" => "2020" "volumen" => "369" "paginaInicial" => "1" "paginaFinal" => "12" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "[2]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cirrhosis-associated immune dysfunction: distinctive features and clinical relevance" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "A. Albillos" 1 => "M. Lario" 2 => "M. Alvarez-Mon" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jhep.2014.08.010" "Revista" => array:6 [ "tituloSerie" => "J Hepatol" "fecha" => "2014" "volumen" => "61" "paginaInicial" => "1385" "paginaFinal" => "1396" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/25135860" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "[3]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "NACSELD acute-on-chronic liver failure (NACSELD-ACLF) score predicts 30-day survival in hospitalized patients with cirrhosis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.G. O’Leary" 1 => "K.R. Reddy" 2 => "G. Garcia-Tsao" 3 => "S.W. Biggins" 4 => "F. Wong" 5 => "M.B. Fallon" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1002/hep.29773" "Revista" => array:6 [ "tituloSerie" => "Hepatology" "fecha" => "2018" "volumen" => "67" "paginaInicial" => "2367" "paginaFinal" => "2374" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29315693" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0020" "etiqueta" => "[4]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A/H1N1/09 influenza is associated with high mortality in liver cirrhosis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Premkumar" 1 => "D. Devurgowda" 2 => "S. Dudha" 3 => "R. Maiwall" 4 => "C. Bihari" 5 => "S. Grover" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jceh.2018.04.006" "Revista" => array:6 [ "tituloSerie" => "J Clin Exp Hepatol" "fecha" => "2019" "volumen" => "9" "paginaInicial" => "162" "paginaFinal" => "170" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/31024197" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0025" "etiqueta" => "[5]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Systemic viral infections and collateral damage in the liver" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "D.H. Adams" 1 => "S.G. Hubscher" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2353/ajpath.2006.051296" "Revista" => array:6 [ "tituloSerie" => "Am J Pathol" "fecha" => "2006" "volumen" => "168" "paginaInicial" => "1057" "paginaFinal" => "1059" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16565481" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0030" "etiqueta" => "[6]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Pre-existing liver disease is associated with poor outcome in patients with SARS CoV2 infection; the APCOLIS Study (APASL COVID-19 Liver Injury Spectrum study)" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "S.K. Sarin" 1 => "G.K. Lau" 2 => "M.-H. Zheng" 3 => "D. Ji" 4 => "Abd-Elsalam Sherief" 5 => "J. Hwang" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.21203/RS.3.RS-36338/V1" "Revista" => array:6 [ "tituloSerie" => "Hepatol Int" "fecha" => "2020" "volumen" => "14" "paginaInicial" => "690" "paginaFinal" => "700" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32623632" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0035" "etiqueta" => "[7]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "High rates of 30-day mortality in patients with cirrhosis and COVID-19" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Iavarone" 1 => "R. D’Ambrosio" 2 => "A. Soria" 3 => "M. Triolo" 4 => "N. Pugliese" 5 => "P. Del Poggio" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jhep.2020.06.001" "Revista" => array:6 [ "tituloSerie" => "J Hepatol" "fecha" => "2020" "volumen" => "73" "paginaInicial" => "1063" "paginaFinal" => "1071" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32526252" "web" => "Medline" ] ] ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0040" "etiqueta" => "[8]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparison of mortality risk in patients with cirrhosis and COVID-19 compared with patients with cirrhosis alone and COVID-19 alone: multicentre matched cohort" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J.S. Bajaj" 1 => "G. Garcia-Tsao" 2 => "S.W. Biggins" 3 => "P.S. Kamath" 4 => "F. Wong" 5 => "S. McGeorge" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/gutjnl-2020-322118" "Revista" => array:2 [ "tituloSerie" => "Gut" "fecha" => "2020" ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0045" "etiqueta" => "[9]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Outcomes following SARS-CoV-2 infection in patients with chronic liver disease: an international registry study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "T. Marjot" 1 => "A.M. Moon" 2 => "J.A. Cook" 3 => "Abd-Elsalam Sherief" 4 => "C. Aloman" 5 => "M.J. Armstrong" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S2468-1253(20)30271-5" "Revista" => array:3 [ "tituloSerie" => "J Hepatol" "fecha" => "2020" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24211739" "web" => "Medline" ] ] ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0050" "etiqueta" => "[10]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Poor outcomes in patients with cirrhosis and corona virus disease-19" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "Shalimar" 1 => "A. Elhence" 2 => "M. Vaishnav" 3 => "R. Kumar" 4 => "P. Pathak" 5 => "K.D. Soni" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s12664-020-01074-3" "Revista" => array:6 [ "tituloSerie" => "Indian J Gastroenterol" "fecha" => "2020" "volumen" => "39" "paginaInicial" => "285" "paginaFinal" => "291" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/32803716" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0055" "etiqueta" => "[11]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prospective Latin American cohort evaluating outcomes of patients with COVID-19 and abnormal liver tests on admission" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Mendizabal" 1 => "F. Piñero" 2 => "E. Ridruejo" 3 => "M. Anders" 4 => "M. Silveyra" 5 => "A. Torre" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.aohep.2020.100298" "Revista" => array:3 [ "tituloSerie" => "Ann Hepatol" "fecha" => "2021" "volumen" => "21" ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0060" "etiqueta" => "[12]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "Elm E. Von" 1 => "D.G. Altman" 2 => "M. Egger" 3 => "S.J. Pocock" 4 => "P.C. Gøtzsche" 5 => "J.P. Vandenbroucke" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S0140-6736(07)61602-X" "Revista" => array:6 [ "tituloSerie" => "Lancet" "fecha" => "2007" "volumen" => "370" "paginaInicial" => "1453" "paginaFinal" => "1457" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18064739" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0065" "etiqueta" => "[13]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "EASL Clinical Practice Guidelines for the management of patients with decompensated cirrhosis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "P. Angeli" 1 => "M. Bernardi" 2 => "C. Villanueva" 3 => "C. Francoz" 4 => "R.P. Mookerjee" 5 => "J. Trebicka" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jhep.2018.03.024" "Revista" => array:6 [ "tituloSerie" => "J Hepatol" "fecha" => "2018" "volumen" => "69" "paginaInicial" => "406" "paginaFinal" => "460" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29653741" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0070" "etiqueta" => "[14]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R. Moreau" 1 => "R. Jalan" 2 => "P. Gines" 3 => "M. Pavesi" 4 => "P. Angeli" 5 => "J. Cordoba" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1053/j.gastro.2013.02.042" "Revista" => array:6 [ "tituloSerie" => "Gastroenterology" "fecha" => "2013" "volumen" => "144" "paginaInicial" => "1426" "paginaFinal" => "1437.e9" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/23474284" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0075" "etiqueta" => "[15]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Acute-on-chronic liver failure: consensus recommendations of the Asian Pacific association for the study of the liver (APASL): an update" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S. Kumar" 1 => "S. Ashok" 2 => "C. Manoj" 3 => "K.S. Rakhi" 4 => "M. Mamun" 5 => "A. Mahtab" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s12072-019-09946-3" "Revista" => array:5 [ "tituloSerie" => "Hepatol Int" "fecha" => "2019" "volumen" => "4" "paginaInicial" => "353" "paginaFinal" => "390" ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0080" "etiqueta" => "[16]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Influenza virus infection as precipitating event of acute-on-chronic liver failure" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "A. Schutte" 1 => "S. Ciesek" 2 => "H. Wedemeyer" 3 => "C.M. Lange" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jhep.2018.11.015" "Revista" => array:6 [ "tituloSerie" => "J Hepatol" "fecha" => "2019" "volumen" => "70" "paginaInicial" => "797" "paginaFinal" => "799" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30635243" "web" => "Medline" ] ] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0085" "etiqueta" => "[17]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "H. Gomez" 1 => "C. Ince" 2 => "D. De Backer" 3 => "P. Pickkers" 4 => "D. Payen" 5 => "J. Hotchkiss" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/SHK.0000000000000052" "Revista" => array:6 [ "tituloSerie" => "Shock" "fecha" => "2014" "volumen" => "41" "paginaInicial" => "3" "paginaFinal" => "11" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24430539" "web" => "Medline" ] ] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0090" "etiqueta" => "[18]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Acute-on-chronic liver failure vs. traditional acute decompensation of cirrhosis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "T. Gustot" 1 => "R. Moreau" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jhep.2018.08.024" "Revista" => array:6 [ "tituloSerie" => "J Hepatol" "fecha" => "2018" "volumen" => "69" "paginaInicial" => "1384" "paginaFinal" => "1393" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/30195459" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0095" "etiqueta" => "[19]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Acute-on-chronic liver failure: a comparison of three different diagnostic criteria" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "G.S. Leão" 1 => "F.L. Lunardi" 2 => "R.V. Picon" 3 => "C.V. Tovo" 4 => "A.A. de Mattos" 5 => "Â.Z. de Mattos" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.aohep.2019.01.001" "Revista" => array:6 [ "tituloSerie" => "Ann Hepatol" "fecha" => "2019" "volumen" => "18" "paginaInicial" => "373" "paginaFinal" => "378" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/31053547" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0100" "etiqueta" => "[20]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Combination of CLIF-OF and CCI predicts survival in patients with cirrhosis and COVID-19" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "M. Iavarone" 1 => "R. D’Ambrosio" 2 => "P. Lampertico" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/gutjnl-2020-322929" "Revista" => array:3 [ "tituloSerie" => "Gut" "fecha" => "2020" "volumen" => "0" ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0105" "etiqueta" => "[21]" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Clinical best practice advice for hepatology and liver transplant providers during the COVID-19 pandemic: AASLD expert panel consensus statement" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "O.K. Fix" 1 => "B. Hameed" 2 => "R.J. Fontana" 3 => "R.M. Kwok" 4 => "B.M. McGuire" 5 => "D.C. Mulligan" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1002/hep.31281" "Revista" => array:4 [ "tituloSerie" => "Hepatology" "fecha" => "2020" "paginaInicial" => "0" "paginaFinal" => "2" ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack577326" "titulo" => "Acknowledgements" "texto" => "<p id="par0225" class="elsevierStylePara elsevierViewall">We would like to thank ALEH´s executive office for their invaluable help and support on this project, especially to Macarena Muñoz, María Jesús Marcone and Verónica García Huidobro. To Silvina Heisecke from CEMIC-CONICET for the copyediting of this manuscript.</p><p id="par0230" class="elsevierStylePara elsevierViewall">Other authors who collaborated with data acquisition: Jonathan Aguirre-Valadez, Silvana Ocampo, Claudio Toledo, Mauricio Orrego, Victoria Mainardi, Marcos Girala, Beatriz Ameigeiras, Pablo Caballini, Aldana Scarpin, Kelly Stephany Casanova Lau and Jorge José Díaz Rodriguez.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/16652681/000000250000000C/v5_202112240929/S1665268121000491/v5_202112240929/en/main.assets" "Apartado" => array:4 [ "identificador" => "78265" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original Articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/16652681/000000250000000C/v5_202112240929/S1665268121000491/v5_202112240929/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268121000491?idApp=UINPBA00004N" ]
| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 6 | 0 | 6 |
| 2024 October | 29 | 11 | 40 |
| 2024 September | 36 | 9 | 45 |
| 2024 August | 35 | 29 | 64 |
| 2024 July | 29 | 8 | 37 |
| 2024 June | 49 | 15 | 64 |
| 2024 May | 34 | 5 | 39 |
| 2024 April | 47 | 4 | 51 |
| 2024 March | 101 | 9 | 110 |
| 2024 February | 74 | 10 | 84 |
| 2024 January | 32 | 9 | 41 |
| 2023 December | 56 | 16 | 72 |
| 2023 November | 69 | 14 | 83 |
| 2023 October | 63 | 8 | 71 |
| 2023 September | 54 | 4 | 58 |
| 2023 August | 34 | 7 | 41 |
| 2023 July | 28 | 7 | 35 |
| 2023 June | 34 | 6 | 40 |
| 2023 May | 40 | 6 | 46 |
| 2023 April | 31 | 0 | 31 |
| 2023 March | 22 | 2 | 24 |
| 2023 February | 21 | 4 | 25 |
| 2023 January | 23 | 6 | 29 |
| 2022 December | 29 | 4 | 33 |
| 2022 November | 40 | 9 | 49 |
| 2022 October | 46 | 7 | 53 |
| 2022 September | 29 | 6 | 35 |
| 2022 August | 35 | 11 | 46 |
| 2022 July | 29 | 8 | 37 |
| 2022 June | 29 | 13 | 42 |
| 2022 May | 34 | 9 | 43 |
| 2022 April | 44 | 10 | 54 |
| 2022 March | 55 | 27 | 82 |
| 2022 February | 23 | 12 | 35 |
| 2022 January | 50 | 16 | 66 |
| 2021 December | 67 | 17 | 84 |
| 2021 November | 82 | 9 | 91 |
| 2021 October | 31 | 1 | 32 |
| 2021 September | 17 | 2 | 19 |
| 2021 August | 5 | 2 | 7 |
| 2021 July | 28 | 0 | 28 |
| 2021 June | 19 | 5 | 24 |
| 2021 May | 16 | 30 | 46 |
| 2021 April | 4 | 9 | 13 |
Show all
