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"documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2019;18:58-67" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 278 "formatos" => array:3 [ "EPUB" => 12 "HTML" => 203 "PDF" => 63 ] ] "en" => array:11 [ "idiomaDefecto" => true "titulo" => "Performance of Serum Glypican 3 in Diagnosis of Hepatocellular Carcinoma: A meta-analysis" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "58" "paginaFinal" => "67" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0035" "etiqueta" => "Figure 6" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr6.jpeg" "Alto" => 719 "Ancho" => 2093 "Tamanyo" => 173078 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0035" class="elsevierStyleSimplePara elsevierViewall">Sensitivity analysis plots.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Dahai Xu, Chang Su, Liang Sun, Yuanyuan Gao, Youjun Li" "autores" => array:5 [ 0 => array:2 [ "nombre" => "Dahai" "apellidos" => "Xu" ] 1 => array:2 [ "nombre" => "Chang" "apellidos" => "Su" ] 2 => array:2 [ "nombre" => "Liang" "apellidos" => "Sun" ] 3 => array:2 [ "nombre" => "Yuanyuan" "apellidos" => "Gao" ] 4 => array:2 [ "nombre" => "Youjun" "apellidos" => "Li" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268119303072?idApp=UINPBA00004N" "url" => "/16652681/0000001800000001/v2_201907270857/S1665268119303072/v2_201907270857/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1665268119303059" "issn" => "16652681" "doi" => "10.5604/01.3001.0012.7860" "estado" => "S300" "fechaPublicacion" => "2019-01-01" "aid" => "70143" "copyright" => "Fundación Clínica Médica Sur, A.C." "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Ann Hepatol. 2019;18:40-7" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 172 "formatos" => array:3 [ "EPUB" => 16 "HTML" => 99 "PDF" => 57 ] ] "en" => array:11 [ "idiomaDefecto" => true "titulo" => "Celastrol Attenuates Intrahepatic Cholestasis of Pregnancy by Inhibiting Matrix Metalloproteinases-2 and 9" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "40" "paginaFinal" => "47" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0030" "etiqueta" => "Figure 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 814 "Ancho" => 1952 "Tamanyo" => 82787 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0030" class="elsevierStyleSimplePara elsevierViewall">Levels of TBA were strongly correlated with serum levels of MMP-2 and MMP-9 in ICP rats receiving celastrol treatment. Pearson’s correlation coefficient test was performed between TBA and serum levels of MMP-2 (A) and MMP-9 (B), respectively, in ICP + celastrol group of rats (n = 16). Values were in arbitrary units (AU).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Junjun Guo, Yong Wang, Na Wang, Yulai Bai, Dandan Shi" "autores" => array:5 [ 0 => array:2 [ "nombre" => "Junjun" "apellidos" => "Guo" ] 1 => array:2 [ "nombre" => "Yong" "apellidos" => "Wang" ] 2 => array:2 [ "nombre" => "Na" "apellidos" => "Wang" ] 3 => array:2 [ "nombre" => "Yulai" "apellidos" => "Bai" ] 4 => array:2 [ "nombre" => "Dandan" "apellidos" => "Shi" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268119303059?idApp=UINPBA00004N" "url" => "/16652681/0000001800000001/v2_201907270857/S1665268119303059/v2_201907270857/en/main.assets" ] "en" => array:17 [ "idiomaDefecto" => true "titulo" => "The Role of the CLIF-C OF and the 2016 MELD in Prognosis of Cirrhosis with and without Acute-on-Chronic Liver Failure" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "48" "paginaFinal" => "57" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "David N. Perdigoto, Pedro Figueiredo, Luís Tomé" "autores" => array:3 [ 0 => array:4 [ "nombre" => "David N." "apellidos" => "Perdigoto" "email" => array:1 [ 0 => "davidperdigoto@gmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">**</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Pedro" "apellidos" => "Figueiredo" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">**</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Luís" "apellidos" => "Tomé" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">**</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Gastroenterology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal" "etiqueta" => "*" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Faculty of Medicine, University of Coimbra, Coimbra, Portugal" "etiqueta" => "**" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "*" "correspondencia" => "Correspondence and reprint request:" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "f0025" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 864 "Ancho" => 831 "Tamanyo" => 72120 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0025" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristics (ROC) curve for the scores 2016 MELD, CLIF-C Of and Child-Pugh as predictors of 28-day mortality in the ACLF group.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="s0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0040">Introduction</span><p id="p0010" class="elsevierStylePara elsevierViewall">Acute-on-chronic liver failure (ACLF) is a clinical entity related to cirrhosis decompensation that has been the focus of research over the last years. The concept is defined by the development of acute deterioration of liver function associated with other organ failure (OF), usually after an acute event, in a patient with chronic liver disease (CLD).<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">1</span></a> It is distinct from an ordinary decompensation of CLD and leads to elevated short-term mortality, generally assumed to be at least > 15% on the 28th day. However, there is no consensus on the definition since different societies have provided distinct criteria.<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">2,3</span></a> In recent years, the clinical relevance and even its existence as an autonomous nosological entity has been questioned and challenged.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">4</span></a> In 2013, a multi-center trial denominated CANONIC conducted by a European group, the Chronic Liver Failure Consortium (CLIF-C), generated new scientific evidence to support the concept that ACLF is an independent condition.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">5</span></a> This landmark study led to the development of a new score, the CLIF-SOFA. This score is based on the, already existing, sepsis-related organ failure assessment (SOFA) score<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">6</span></a> with the proper adjustments for liver failure. It congregates all the criteria that define each possible OF. Those events of organ failure, when present, lead to the ACLF syndrome. The CLIF-SOFA was later simplified into the CLIF-C OF to allow the direct diagnosis of the syndrome by determining the specific organ dysfunction or failure. Additionally, the same CLIF consortium developed two new scores. The CLIF-C ACLF (CLIF-C acute-on-chronic liver failure) score, that is used to determine prognosis when ACLF is present, and the CLIF-C AD (CLIF-C acute decompensation) score, for acute decompensation (AD) without ACLF.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">7</span></a> In their study, the CLIF consortium suggests that the CLIF-C OF is a better score for the assessment of prognosis compared to the model for end-stage liver disease (MELD). When used appropriately, both the CLIF-C ACLF and the CLIF-C AD also performed better than other scores such as the MELD and Child-Pugh.<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">7,8</span></a></p><p id="p0015" class="elsevierStylePara elsevierViewall">The MELD score was developed in the early 2000s. It was intended to anticipate the survival probability of patients undergoing the transjugular intrahepatic portosystemic shunt procedure.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">9</span></a> After validation, the score was extended to the general prognosis in the field of chronic liver disease, and, more importantly, it was applied to organ allocation in liver transplantation programs all over the world.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">10</span></a></p><p id="p0020" class="elsevierStylePara elsevierViewall">Initially, this score integrated the values of bilirubin, creatinine, international normalized ratio (evaluating prothrombin time) and the etiology of the liver disease that was posteriorly eliminated.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">9</span></a> Some years later, new evidence showed the importance of hyponatremia as a marker of advanced decompensated cirrhosis, and, therefore, warranted its inclusion in the MELD score.<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">11,12</span></a> This led to the expansion of scores incorporating sodium value, with the model for end-stage liver disease-sodium (MELD-Na) being the most notable.<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">13,14</span></a> In 2016, the Organ Procurement and Transplantation Network changed the official MELD formula used for organ allocation in the USA, adding the sodium value to the original MELD.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">15</span></a> To avoid confusion, we refer to this later iteration of the MELD score as the 2016 MELD throughout this study. While both 2016 MELD and MELD-Na incorporate sodium, these two scores are distinct as they have different calculation formulae.</p></span><span id="s0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0045">Objective</span><p id="p0025" class="elsevierStylePara elsevierViewall">This study aimed to identify the incidence of ACLF (major outcome) and characterize this condition in a Gastroenterology department including its associated intensive care unit (ICU). Secondly, we wanted to evaluate the prognostic accuracy in determining short-term (28-day) and 90-day mortality of the scores CLIF-C OF, “new” 2016 MELD and Child-Pugh. Thirdly, we sought to test the scores CLIF-C ACLF and CLIF-C AD in their respective groups.</p></span><span id="s0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0050">Material and Methods</span><span id="s0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0055">Study design</span><p id="p0030" class="elsevierStylePara elsevierViewall">We designed a prospective, single-center observational study with systematic inclusion of every patient admitted to the Gastroenterology ward or ICU diagnosed with decompensation of CLD motivated by encephalopathy, refractory or new onset ascites, jaundice, gastrointestinal bleeding or acute infection.</p><p id="p0035" class="elsevierStylePara elsevierViewall">CLD was defined as cirrhosis assessed before or at the admission by biopsy or by a combination of clinical signs, laboratory and imaging alterations.</p><p id="p0040" class="elsevierStylePara elsevierViewall">Infection included spontaneous bacterial peritonitis (SBP) or acute bacterial assumed infection with other primary location (urinary tract, respiratory tract, a different site or bacteremia with no apparent origin) identified by clinical, laboratory and imaging typical changes, justifying admission.</p><p id="p0045" class="elsevierStylePara elsevierViewall">Exclusion criteria considered were: any stage of hepatocellular carcinoma, acute or chronic extra-hepatic severe medical condition that might have contributed to the acute decompensation and organ failure, particularly, chronic kidney disease, chronic decompensated heart failure, human immunodeficiency virus infection, any oncologic active condition, and trauma. Patients without at least three months of follow-up after study recruitment were also excluded.</p></span><span id="s0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0060">ACLF definition and scores calculation</span><p id="p0050" class="elsevierStylePara elsevierViewall">For ACLF diagnosis the criteria produced by the CLIF-C group in the CANONIC study<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">5</span></a> were followed because it was considered to better represent the concept supporting this clinical condition. Consequently, ACLF was assumed whenever one of the three following circumstances was present: renal failure alone defined by acute, <span class="elsevierStyleItalic">de novo</span> elevation of creatinine > 2 mg/dL; renal dysfunction (creatinine 1.5-1.9 mg/dL) and/or cerebral dysfunction (hepatic encephalopathy grade 1-2 by West Haven classification) together with any other OF; two to three any OFs. The criteria for organ failure are defined in <a class="elsevierStyleCrossRef" href="#t0010">table 1</a>. ACLF grade 1 was assumed if there was only one OF, grade 2 for 2 OF and 3 OF defined grade 3.</p><elsevierMultimedia ident="t0010"></elsevierMultimedia><p id="p0055" class="elsevierStylePara elsevierViewall">Patients were included only once, at their first admission during the study period, either having ACLF or CLD decompensation without ACLF. To ensure that the ACLF trigger was present before or just after admission, the study allowed only the diagnosis of ACLF from admission to the hospital to the 7th day of hospitalization. As a clinical trigger, we considered, as in the CANONIC study, the main factors that could originate the syndrome: infection, current alcohol drinking, acute reactivation of chronic viral hepatitis or a recent medical procedure like paracentesis or transjugular intrahepatic portosystemic shunt positioning. None of the causes of CLD decompensation were considered as potential triggers (gastrointestinal bleeding was considered in CANONIC) to select and determine the potential specific triggers. Infection was defined by the criteria expressed above. Active alcohol consumption was defined as drinking, at least, 14 drinks per week for women and 21 drinks per week in men within the last three months (based on CANONIC criteria). Data were collected prospectively and analyzed retrospectively. The scores were calculated at the first point of admission (with or without ACLF) or calculated afterward in the cases when the patients developed ACLF in the initial days of hospital admission. Then, they were correlated with the 28-day and 90-day mortality to determine prognostic accuracy.</p><p id="p0060" class="elsevierStylePara elsevierViewall">The 2016 MELD score was announced after the last of the patients had been enrolled in the study. It was decided that the CLIF-C OF should be tested with an equivalent up-to-date quality score. Therefore, the “new” 2016 MELD version was assumed (referred in this article as 2016 MELD), while original score editing was made according to the laboratory data (including natremia) corresponding to the patient’s admission date, consequently preserving the initial study design and solely updating the MELD values.</p><p id="p0065" class="elsevierStylePara elsevierViewall">The 2016 MELD was calculated with the following formula (<a class="elsevierStyleCrossRef" href="#f0010">Figure 1A</a>).</p><elsevierMultimedia ident="f0010"></elsevierMultimedia><p id="p0070" class="elsevierStylePara elsevierViewall">If the MELD(i) was higher than 11, additional MELD was calculated as follows (<a class="elsevierStyleCrossRef" href="#f0010">Figure 1B</a>).</p></span><span id="s0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0065">Statistical analysis</span><p id="p0075" class="elsevierStylePara elsevierViewall">For categorical variables, the chi-squared test (x<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">2</span></a> test) and the Fisher’s exact test, for groups with less than 20 cases, were used. Normality was assessed with the Kolmogorov-Smirnov and Shapiro-Wilk tests. Continuous variables were expressed as the mean ± standard deviation (SD) or as the median and interquartile range (IQR) whether they were parametric or non-parametric and the Student’s t-test or Mann-Whitney U test were used, respectively. Multivariate analysis was executed with binary logistic regression. Receiver operating characteristic (ROC) curves were calculated, and the area under the curve (AUC) was evaluated do determine the score accuracy (c-statistic). A p < 0.05 was considered for statistical significance. SPSS was used for all tests, ROC curves design and AUC calculations (SPSS v. 20 for OS, Chicago, IL, USA). ROC curves AUC analysis between different scores, using DeLong test, was executed with Medcalc (Medcalc v. 17.9, MedCalc Software bvba, Ostend, Belgi<span class="elsevierStyleSup">um</span>).</p></span><span id="s0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0070">Ethical considerations</span><p id="p0080" class="elsevierStylePara elsevierViewall">This was an observational study with no interference in patient's follow-up or medical decision making. It was validated by the local ethical committee. The patient’s anonymity was kept, and all principles of Helsinki Declaration were respected.</p></span></span><span id="s0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0075">Results</span><span id="s0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0080">ACLF incidence</span><p id="p0085" class="elsevierStylePara elsevierViewall">During the study’s 18 months duration (July 2014 to December 2015) all the patients admitted to the department ward or specific ICU with decompensation of past or recently recognized CLD were systematically considered for study incorporation. After strict use of the exclusion criteria, 118 patients were enrolled. The majority were men: 90 (76.3%), with a mean age of 60.0 ± 11.2 years, limits of 36 and 84. The leukocytes, C-reactive protein (CRP) and CLIF-C OF showed a non-normal distribution: Kolmogorov-Smirnov and Shapiro-Wilk tests < 0.0001 for these variables. Therefore, medians (instead of means) were compared for these three variables (<a class="elsevierStyleCrossRef" href="#t0015">Table 2</a>). The most common etiologies of CLD were alcohol consumption (81.4%), hepatitis C virus (HCV) infection and alcohol consumption (5.9%), hepatitis B virus infection (HBV) plus HCV and alcohol consumption (2.6%) and primary biliary cholangitis (2.6%). The specific CLD etiologies are expressed in <a class="elsevierStyleCrossRef" href="#t0020">table 3</a>. As the major outcome, 39 patients admitted had ACLF (33.1%), the majority, 24 with grade 1 ACLF (61.6%), 13 with grade 2 (33.3%) and 2 with grade 3 (5.1%). The mortality was higher both at 28-day for ACLF grade 2 comparing to grade 1: 76.9% <span class="elsevierStyleItalic">vs.</span> 25%, p = 0.002, and at 90-day: 92.3% <span class="elsevierStyleItalic">vs.</span> 45.8%, p = 0.005. Because grade 3 was represented by only 2 cases, no correlations can be established with this grade.</p><elsevierMultimedia ident="t0015"></elsevierMultimedia><elsevierMultimedia ident="t0020"></elsevierMultimedia><p id="p0090" class="elsevierStylePara elsevierViewall">Approximately one-third of the patients (33.9%) were admitted to the ICU. The incidence of ACLF was not significantly different in this group, when compared to those admitted to the ward: 37.5% (15/40) <span class="elsevierStyleItalic">vs.</span> 30.8% (24/78), p = 0.462. All the other clinical and laboratory main patients’ characteristics are summarized in <a class="elsevierStyleCrossRef" href="#t0015">table 2</a>. The development of ACLF when comparing the patients with CLD caused only by active or previous alcohol consumption, with no viral hepatitis as a co-factor, with the patients with other etiologies, was not significantly different, 33.3% <span class="elsevierStyleItalic">vs.</span> 31.8%, p = 0.892.</p><p id="p0095" class="elsevierStylePara elsevierViewall">There were no significant differences in age or gender, but the ACLF group was associated with much higher values of blood leukocytes, CRP and 2016 MELD values.</p><p id="p0100" class="elsevierStylePara elsevierViewall">The ACLF group was characterized by a significant higher short-term (28-day) and 90-day mortality compared to the no-ACLF group: 43.6% and 64.1% <span class="elsevierStyleItalic">vs.</span> 2.5% and 7.6% respectively, p < 0.0001.</p><p id="p0105" class="elsevierStylePara elsevierViewall">Acute infection was the main trigger for ACLF, it was present in 74.4% cases. Active alcoholism also played a role, as it was present in 31.7% cases. In more than half of these (17.9%), active alcohol consumption was present simultaneously with acute infection. In 11.8% cases, a clear trigger could not be identified.</p></span><span id="s0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0085">Univariate and multivariate analysis</span><p id="p0110" class="elsevierStylePara elsevierViewall">In the univariate analysis, we looked for the admission causes and other risk factors to test for a potential relationship with ACLF development. Thus, hepatorenal syndrome, infection by SBP or from another site, ascites, encephalopathy, refractory ascites and SBP all correlated with higher ACLF risk. On the other hand, acute upper digestive bleeding (variceal bleeding or not) had a negative correlation for ACLF (odds ratio 0.55) p = 0.012 (<a class="elsevierStyleCrossRef" href="#t0025">Table 4</a>). However, in the global multivariate analysis only the presence of hepatorenal syndrome, infection and encephalopathy showed a statistically significant correlation with ACLF diagnosis (<a class="elsevierStyleCrossRef" href="#t0030">Table 5</a>).</p><elsevierMultimedia ident="t0025"></elsevierMultimedia><elsevierMultimedia ident="t0030"></elsevierMultimedia></span><span id="s0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0090">Scores calculation and accuracy</span><p id="p0115" class="elsevierStylePara elsevierViewall">The scores 2016 MELD and CLIF-C OF in the group with ACLF had much higher values, 31.0 ± 5.3 <span class="elsevierStyleItalic">vs.</span> 17.3 ± 5.5 and 10.0, IQR 2.0 <span class="elsevierStyleItalic">vs.</span> 6.0, IQR 1.0, respectively. In the entire study group (N = 118) the AUC for the 28-day mortality determination with the scores 2016 MELD, CLIF-C OF, and Child-Pugh was respectively 0.908, 0.844, 0.753 (<a class="elsevierStyleCrossRef" href="#f0015">Figure 2</a>) and for the 90-day mortality 0.902, 0.814, 0.724 (<a class="elsevierStyleCrossRef" href="#f0020">Figure 3</a>), p < 0.0001 for AUC in all scores (<a class="elsevierStyleCrossRef" href="#t0035">Table 6</a>). Comparing the AUCs with the DeLong test in the 28-day mortality period, only the 2016 MELD <span class="elsevierStyleItalic">vs.</span> Child-Pugh difference was significant, p < 0.0001. Conversely, in the 90-day period, the 2016 MELD <span class="elsevierStyleItalic">vs.</span> CLIF-C OF, 2016 MELD <span class="elsevierStyleItalic">vs.</span> Child-Pugh and CLIF-C OF <span class="elsevierStyleItalic">vs.</span> Child-Pugh differences were statistically significant, respectively, p = 0.021, p < 0.0001, and p = 0.035.</p><elsevierMultimedia ident="f0015"></elsevierMultimedia><elsevierMultimedia ident="f0020"></elsevierMultimedia><elsevierMultimedia ident="t0035"></elsevierMultimedia><p id="p0120" class="elsevierStylePara elsevierViewall">After subdivision depending on whether ACLF was present or not, within the group with this condition, the values for assessing 28-day mortality with the scores 2016 MELD, CLIF-C ACLF and Child-Pugh were respectively 0.774, 0.734, and 0.584; p = 0.004 and p = 0.013 for the 2016 MELD and CLIF-C ACLF AUC (<a class="elsevierStyleCrossRef" href="#f0025">Figure 4</a>). For the 90-day mortality, the results were: 0.880, 0.771, and 0.603; p < 0.0001 and p = 0.005 for the 2016 MELD and CLIF-C ACLF AUC (<a class="elsevierStyleCrossRef" href="#f0030">Figure 5</a>, <a class="elsevierStyleCrossRef" href="#t0035">Table 6</a>).</p><elsevierMultimedia ident="f0025"></elsevierMultimedia><elsevierMultimedia ident="f0030"></elsevierMultimedia><p id="p0125" class="elsevierStylePara elsevierViewall">Comparing the AUCs in the ACLF 28-day and 90-day periods, only the 2016 MELD versus Child-Pugh difference was significant, respectively, p = 0.020 and p = 0.0001.</p><p id="p0130" class="elsevierStylePara elsevierViewall">In the group without ACLF, for anticipating the 28-day and 90-day mortality the values for the scores 2016 MELD, CLIF-C AD and Child-Pugh were respectively 0.695, 0.675, 0.646 and 0.677, 0.622, 0.517; no statistical significance (<a class="elsevierStyleCrossRef" href="#t0035">Table 6</a>).</p><p id="p0135" class="elsevierStylePara elsevierViewall">During the period of patients’ follow-up, at least until three months after the last patient was enrolled, only five patients were submitted to liver transplantation, with no differences between groups: 2 within ACLF <span class="elsevierStyleItalic">vs.</span> 3 in the no-ACLF, p = 0.736.</p></span></span><span id="s0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0095">Discussion</span><span id="s0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0100">ACLF and risk factors</span><p id="p0140" class="elsevierStylePara elsevierViewall">ACLF is a condition based on a relatively recent concept that has became more clearly defined by new precise criteria supported by good quality medical scientific evidence.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">5</span></a> While the CLIF consortium considers this entity a complete change in the cirrhosis paradigm,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">16</span></a> the real-life clinical utility and relevance of this unique condition has been contested. Addressing this question was the first motivation to conduct this study. Besides assessing its unique behavior and independence, we wanted to test the new score CLIF-C OF and its associated scores that proved to be promising in recent data.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">16</span></a></p><p id="p0145" class="elsevierStylePara elsevierViewall">First, this study confirms that ACLF is an individual entity characterized by high mortality (> 15%) with values reaching 43.6% and 64.1%, respectively for 28 and 90-day, with significant differences from the group without ACLF. This higher mortality, when compared with the CANONIC study (29.6% and 51.1%), can be justified by our very high rate of acute infection in the ACLF group (74.4%) that is known to be a crucial prognosis factor for poor outcome.<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">17-20</span></a> Additionally, this study included a considerable percentage of patients with alcohol consumption even when other CLD causes, like chronic HBV or HCV infection, were present. While maintenance of active alcohol habits was identified objectively in only 31.7%, this percentage might be an underestimation. In fact, current alcohol consumption is a known ACLF development trigger and has also been linked to higher mortality, which is known to be connected to the common combination of acute alcoholic hepatitis and ACLF, both developing in association to an intense pro-inflammatory back-ground.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">5,17</span></a></p><p id="p0150" class="elsevierStylePara elsevierViewall">The incidence of ACLF (33.1%) was similar to the one in the CANONIC study (30.9%), suggesting that this condition is quite frequent in the CLD clinical setting. Surprisingly, there was no considerable difference in the presence of ACLF in the ICU versus general ward (37.5% <span class="elsevierStyleItalic">vs.</span> 30.8%). One can say that this is justified because ACLF can develop in a patient that apparently is clinically stable, and, for that reason, is not admitted to the ICU. However, if the patient presents, for example, with acute kidney injury with creatinine rising to values > 2.0 mg/dL in the context of acute infection, ACLF is present even if the patient may seem to be apparently “well”. Conversely, a patient that receives a closer observation in an ICU setting, because his admission was motivated by variceal bleeding, has a lower risk for ACLF development as our analysis and other studies indicate.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">5,21</span></a> This fact strongly emphasizes the possibility that ACLF is not commonly associated with gastrointestinal bleeding in the context of CLD. The systematic use of antibiotic prophylaxis following upper variceal bleeding, such as a 7-day ceftriaxone course used in our cohort, may play a crucial role in this issue. In this context, our study underscores the importance of awareness to slight changes in the cirrhotic patient, such as infection occurrence or acute kidney injury since they can lead to or consist of the first signs of ACLF.</p><p id="p0155" class="elsevierStylePara elsevierViewall">In what concerns the risk factors, the multivariate analysis confirmed the concept that infection is a relevant potential trigger of ACLF. Hepatorenal syndrome and portosystemic encephalopathy also showed high correlation with ACLF, but this must be interpreted with caution because this fact probably reflects the organ dysfunction or failure consequent to the ACLF syndrome.</p></span><span id="s0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0105">Scores and their prognostic accuracy</span><p id="p0160" class="elsevierStylePara elsevierViewall">The new score CLIF-C OF performed very well as a prognostic tool to predict mortality at 28-day and 90-day, respectively with an AUC of 0.844 and 0.814 achieving good accuracy. However, the 2016 MELD score performed even better for both periods, although only significantly better for the 90-day mortality period. The values obtained were considerably higher than the ones found by a meta-analysis.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">22</span></a> In that study, the MELD AUC for “inhospital mortality” and 90-day mortality were respectively 0.744 and 0.794. However, it is not possible to establish a precise comparative analysis because we used the 2016 MELD (incorporating sodium) and those values are related to the MELD without sodium (before 2016).</p><p id="p0165" class="elsevierStylePara elsevierViewall">Accordingly, the original MELD with sodium integration (2016 MELD) still has a relevant role in the era of the CLIF-C OF.</p><p id="p0170" class="elsevierStylePara elsevierViewall">As expected, the score Child-Pugh was not as accurate as the others, particularly, comparing to the 2016 MELD that performed significantly better for both time periods.</p><p id="p0175" class="elsevierStylePara elsevierViewall">In the ACLF group, the score CLIF-C ACLF showed an accuracy for 28 and 90-day mortality of0.734 and 0.771, respectively, that can be considered good and close (even higher for 90-day) to the AUC published in the study that created this score (0.790 and 0.760).<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">7</span></a> However, the 2016 MELD score showed a, not significantly different, higher value of 0.774 and 0.880.</p><p id="p0180" class="elsevierStylePara elsevierViewall">Thus, the 2016 MELD performed, at least, with the same accuracy as the CLIF-C ACLF and this demonstrates its reliability as a score, even in the presence of ACLF.</p><p id="p0185" class="elsevierStylePara elsevierViewall">When applied in the group without ACLF all the scores showed worse results and, particularly, the CLIF-C AD did not perform well at all. This group was more heterogeneous (comparing to the ACLF) and included patients in different stages of decompensation, motivated by various causes of decompensation. Therefore, the scores might have reflected the dispersion of outcomes that result from that creating some degree of unpredictability. These results also lead to theorizing that the more severe the patient’s condition is, the more accurate the score is likely to be.</p><p id="p0190" class="elsevierStylePara elsevierViewall">Overall, we argue that the score CLIF-C OF is a good predictor of short-term and 90-day mortality allowing direct diagnosis of ACLF. The score 2016 MELD performed even better in the 90-day period defining an excellent accuracy. We hypothesize that the 2016 MELD score acquired a better prognostic accuracy following its recent changes in the formula integrating the sodium value. This theory still needs to be tested in other larger scale cohorts.</p><p id="p0195" class="elsevierStylePara elsevierViewall">Management of ACLF is currently limited because there are no specific effective treatments. Liver transplantation is the only available option that can significantly improve long-term survival, and, consequently, must be systematically considered as a possibility.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">17</span></a> The patient should be admitted to an intensive care unit, and general management should be focused on the treatment of potential triggers such as infection and supporting organ failures. Liver support devices, such as molecular adsorbent recirculating system <span class="elsevierStyleItalic">(MARS)</span> or <span class="elsevierStyleItalic">Prometheus,</span> can be offered if available, but the current evidence did not prove their role in increasing survival.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">23</span></a> New biologic agents, like granulocyte-colony stimulating factor, are being tested and the first trials look promising.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">24</span></a></p><p id="p0200" class="elsevierStylePara elsevierViewall">Although the treatment of ACLF is beyond the scope of this study, we noticed a very low number of patients that were submitted to liver transplantation. This fact can be due to several factors. First, a substantial percentage of patients did not fulfill the transplantation criteria, namely because of acute alcoholic hepatitis. Additionally, the high rate of patients with a severe global condition and acute infection leading to the status of “too sick to transplant”, may have contributed.</p><p id="p0205" class="elsevierStylePara elsevierViewall">This study has some limitations. First, the sample is not extensive enough to allow us to conclude with the same certainty as in other large cohort multi-centric trials. This factor adversely impacted the subdivision of ACLF/no ACLF groups, in specific. While this is a prospective study, the accuracy of some data recording may be compromised because of the subjective nature of some clinical variables. Nevertheless, the principal scores that were tested, CLIF-C OF and 2016 MELD, include mainly objective data (except encephalopathy in CLIF-C OF). The study also incorporates Child-Pugh in the comparative analysis because it is a widely-accepted score that includes subjective variables (encephalopathy and ascites), allowing us to test those factors.</p><p id="p0210" class="elsevierStylePara elsevierViewall">In conclusion, the present study provides evidence that ACLF is an independent syndrome associated with organ failure and to higher short-term mortality (> 15%). Acute infection acts as a strong potential trigger associated with this syndrome.</p><p id="p0215" class="elsevierStylePara elsevierViewall">The score CLIF-C OF has a good prediction accuracy and the advantage of automatically defining ACLF when this condition is present. However, in our data, it did not suggest being better than the 2016 MELD, which showed excellent accuracy.</p></span></span><span id="s0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0110">Abbreviations</span><p id="p0220" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="l0010"><li class="elsevierStyleListItem" id="u0010"><span class="elsevierStyleLabel">•</span><p id="p0225" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ACLF</span>: acute-on-chronic liver failure.</p></li><li class="elsevierStyleListItem" id="u0015"><span class="elsevierStyleLabel">•</span><p id="p0230" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">OF</span>: organ failure.</p></li><li class="elsevierStyleListItem" id="u0020"><span class="elsevierStyleLabel">•</span><p id="p0235" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CLD</span>: chronic liver disease.</p></li><li class="elsevierStyleListItem" id="u0025"><span class="elsevierStyleLabel">•</span><p id="p0240" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CLIF-C</span>: chronic Liver failure consortium.</p></li><li class="elsevierStyleListItem" id="u0030"><span class="elsevierStyleLabel">•</span><p id="p0245" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">SOFA</span>: Sepsis-related organ failure assessment.</p></li><li class="elsevierStyleListItem" id="u0035"><span class="elsevierStyleLabel">•</span><p id="p0250" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CLIF-C ACLF</span>: CLIF-C acute-on-chronic liver failure.</p></li><li class="elsevierStyleListItem" id="u0040"><span class="elsevierStyleLabel">•</span><p id="p0255" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CLIF-C AD</span>: CLIF-C acute decompensation.</p></li><li class="elsevierStyleListItem" id="u0045"><span class="elsevierStyleLabel">•</span><p id="p0260" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">AD</span>: acute decompensation.</p></li><li class="elsevierStyleListItem" id="u0050"><span class="elsevierStyleLabel">•</span><p id="p0265" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">MELD</span>: model for end-stage liver disease.</p></li><li class="elsevierStyleListItem" id="u0055"><span class="elsevierStyleLabel">•</span><p id="p0270" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">MELD-Na</span>: model for end-stage liver disease-sodium.</p></li><li class="elsevierStyleListItem" id="u0060"><span class="elsevierStyleLabel">•</span><p id="p0275" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ICU</span>: ntensive care unit.</p></li><li class="elsevierStyleListItem" id="u0065"><span class="elsevierStyleLabel">•</span><p id="p0280" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">SBP</span>: spontaneous bacterial peritonitis.</p></li><li class="elsevierStyleListItem" id="u0070"><span class="elsevierStyleLabel">•</span><p id="p0285" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">SD</span>: standard deviation.</p></li><li class="elsevierStyleListItem" id="u0075"><span class="elsevierStyleLabel">•</span><p id="p0290" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">IQR</span>: interquartile range.</p></li><li class="elsevierStyleListItem" id="u0080"><span class="elsevierStyleLabel">•</span><p id="p0295" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">ROC</span>: receiver operating characteristic.</p></li><li class="elsevierStyleListItem" id="u0085"><span class="elsevierStyleLabel">•</span><p id="p0300" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">AUC</span>: rea under curve.</p></li><li class="elsevierStyleListItem" id="u0090"><span class="elsevierStyleLabel">•</span><p id="p0305" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">CRP</span>: C -reactive protein.</p></li><li class="elsevierStyleListItem" id="u0095"><span class="elsevierStyleLabel">•</span><p id="p0310" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">HCV</span>: hepatitis C virus.</p></li><li class="elsevierStyleListItem" id="u0100"><span class="elsevierStyleLabel">•</span><p id="p0315" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">HBV</span>: hepatitis B virus.</p></li><li class="elsevierStyleListItem" id="u0105"><span class="elsevierStyleLabel">•</span><p id="p0320" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">MARS</span>: molecular adsorbent recirculating system.</p></li></ul></p></span><span id="s0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0115">Conflict of Interest</span><p id="p0325" class="elsevierStylePara elsevierViewall">The authors declares that there is no conflict of interest regarding the publication of this article.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:3 [ "identificador" => "xres1224782" "titulo" => "Abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abs0010" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1138848" "titulo" => "Key words" ] 2 => array:2 [ "identificador" => "s0010" "titulo" => "Introduction" ] 3 => array:2 [ "identificador" => "s0015" "titulo" => "Objective" ] 4 => array:3 [ "identificador" => "s0020" "titulo" => "Material and Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "s0025" "titulo" => "Study design" ] 1 => array:2 [ "identificador" => "s0030" "titulo" => "ACLF definition and scores calculation" ] 2 => array:2 [ "identificador" => "s0035" "titulo" => "Statistical analysis" ] 3 => array:2 [ "identificador" => "s0040" "titulo" => "Ethical considerations" ] ] ] 5 => array:3 [ "identificador" => "s0045" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "s0050" "titulo" => "ACLF incidence" ] 1 => array:2 [ "identificador" => "s0055" "titulo" => "Univariate and multivariate analysis" ] 2 => array:2 [ "identificador" => "s0060" "titulo" => "Scores calculation and accuracy" ] ] ] 6 => array:3 [ "identificador" => "s0065" "titulo" => "Discussion" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "s0070" "titulo" => "ACLF and risk factors" ] 1 => array:2 [ "identificador" => "s0075" "titulo" => "Scores and their prognostic accuracy" ] ] ] 7 => array:2 [ "identificador" => "s0080" "titulo" => "Abbreviations" ] 8 => array:2 [ "identificador" => "s0085" "titulo" => "Conflict of Interest" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-10-05" "fechaAceptado" => "2017-11-16" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Key words" "identificador" => "xpalclavsec1138848" "palabras" => array:5 [ 0 => "CLIF-C ACLF" 1 => "CLIF-C AD" 2 => "Child-Pugh" 3 => "MELD-Na" 4 => "Prognostic scores" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span id="abs0010" class="elsevierStyleSection elsevierViewall"><p id="sp0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Introduction and aim</span>. Acute-on-chronic liver failure (ACLF) is defined by the development of acute deterioration of liver function associated with failure of other organs and high short-term mortality in patients with chronic liver disease (CLD). There is no consensus on the diagnostic criteria, and its independence from ordinary decompensation of CLD has frequently been questioned. This study aimed to identify and characterize this condition and to test the CLIF-C OF score comparing it to the 2016-MELD (with sodium) and the Child-Pugh.</p><p id="sp0070" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Material and methods</span>. 18-month prospective observational study with systematic inclusion of admitted patients with CLD decompensation.</p><p id="sp0075" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Results</span>. 39 patients had ACLF (33.1%). These patients experienced higher 28-day and 90-day mortality, when compared to patients without ACLF (43.6% and 64.1% vs. 2.5% and 7.6% respectively, p < 0.0001). ACLF was linked with a higher acute infection rate (74.4%). For all patients (N = 118), the scores 2016-MELD, CLIF-C OF and Child-Pugh showed an area under the curve (AUC) for 28-day mortality of 0.908, 0.844, 0.753 and for 90-day of 0.902, 0.814, 0.724 respectively, p < 0.0001 for all scores. The 90-day mortality 2016-MELD AUC was greater than the CLIF-C OF AUC, p = 0.021. Within ACLF patients, the 2016-MELD, CLIF-C ACLF and Child-Pugh scores showed an AUC of 0.774, 0.734, 0.584 (28-day) and 0.880, 0.771, 0.603 (90-day); for 2016-MELD p = 0.004 (28-day) and p < 0.0001 (90-day).</p><p id="sp0080" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Conclusion</span>. ACLF is a frequent and relevant condition, associated with high mortality. The CLIF-C OF score revealed good accuracy and diagnoses ACLF when it is present. However, the 2016-MELD performed better for 90-day mortality prediction.</p></span>" ] ] "multimedia" => array:11 [ 0 => array:7 [ "identificador" => "f0010" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 207 "Ancho" => 2075 "Tamanyo" => 41435 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0010" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">The 2016 MELD was calculated with the following formula (<span class="elsevierStyleBold">A</span>). If the MELD(i) was higher than 11, additional MELD was calculated</span> as <span class="elsevierStyleItalic">(<span class="elsevierStyleBold">B</span>)<span class="elsevierStyleBold">.</span></span></p>" ] ] 1 => array:7 [ "identificador" => "f0015" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 859 "Ancho" => 825 "Tamanyo" => 77081 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0015" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristic (ROC) curve for the scores 2016 MELD, CLIF-C Of and Child-Pugh as predictors of 28-day mortality in the global group.</p>" ] ] 2 => array:7 [ "identificador" => "f0020" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 859 "Ancho" => 836 "Tamanyo" => 74803 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0020" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristics (ROC) curve for the scores 2016 MELD, CLIF-C OF and Child-Pugh as predictors of 90-day mortality in the global group.</p>" ] ] 3 => array:7 [ "identificador" => "f0025" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 864 "Ancho" => 831 "Tamanyo" => 72120 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0025" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristics (ROC) curve for the scores 2016 MELD, CLIF-C Of and Child-Pugh as predictors of 28-day mortality in the ACLF group.</p>" ] ] 4 => array:7 [ "identificador" => "f0030" "etiqueta" => "Figure 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 864 "Ancho" => 831 "Tamanyo" => 74408 ] ] "descripcion" => array:1 [ "en" => "<p id="sp0030" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristics (ROC) curve for the scores 2016 MELD, CLIF-C OF and Child-Pugh as predictors of 90-day mortality in the ACLF group.</p>" ] ] 5 => array:8 [ "identificador" => "t0010" "etiqueta" => "Table I" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">The grey box represents specific OF (for kidney the score 2 criteria already define OF). INR: international normalized ratio. MAP: mean arterial pressure.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Organ system \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">Score = 1 \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">Score = 2 \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">Score = 3 \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Liver, bilirubin (mg/dL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 - < 12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">> 12 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Kidney, creatinine (mg/dL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 - < 3.5 \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">> 3.5 or renal replacement therapy \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Brain, grade (West-Haven) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3-4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Coagulation, INR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 2.0 \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">2.0 - < 2.5 \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">> 2.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Circulation, MAP (mmHg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="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">< 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">vasopressors \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Respiratory PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">> 300 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 300 and > 200 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 200 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">or SpO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">> 357 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">> 214 < 357 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 214 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2092124.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0035" class="elsevierStyleSimplePara elsevierViewall">Specific organ parameters allowing determination of organ failures (OF) and the calculation of the CLIF-C OF score.</p>" ] ] 6 => array:8 [ "identificador" => "t0015" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">SD: standard deviation. Bid: blood. IQR: interquartile range. CRP: C-reactive protein. MELD: model for end-stage liver disease. CLIF-C OF: chronic liver failure consortium organ failure score.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Factor \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total N = 118 \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">ACLF 39 (33.1%) \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">No ACLF 79 (66.9%) \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">ACLF vs. No ACLF p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ACLF grade I/II/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="" 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">24/13/2 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">% within ACLF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61.6/33.3/5.1 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (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">60.0 ± 11.2 \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">59.4 ± 11.3 \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">60.3 ± 11.2 \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">0.68 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Male 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">90 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.907 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">% within group \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50.8 \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">76.9 \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">75.9 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Infection \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">% within group \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.8 \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">74.4 \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">22.8 \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Bld. Leukocytes - median \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8.0 \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">9.0 \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">7.0 \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">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IQR (Q1-Q3) (x1000/mm<span class="elsevierStyleSup">3</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.0 (5-12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.0 (7-13) \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">6.0 (5-11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CRP - median IQR (Q1-Q3) (mg/dL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.89 \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">1.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(min-max) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.87 (0.7-4.57) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.14 (1.77-8.91) \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">3.22 (0.43-3.65) \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">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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">(0.03-24.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(0.10-17.4) \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">(0.03-24.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Pugh A/B/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">14/47/57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0/6/33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14/41/24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.159 (A vs. B) 0.0001 (B <span class="elsevierStyleItalic">vs.</span> C) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2016 MELD (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">21.9 ± 8.4 \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">31.0 ± 5.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.3 ± 5.5 \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">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(min-max) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(7-40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C OF - median \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.0 \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">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">6.0 \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">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IQR (Q1-Q3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.0 (6-9) \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">2.0 (8-10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.0 (6-7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(min-max) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">(6-15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" 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 => "xTab2092128.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0040" class="elsevierStyleSimplePara elsevierViewall">Patients' data summary for the global, acute-on-chronic liver failure (ACLF) and acute decompensation (AD) groups.</p>" ] ] 7 => array:8 [ "identificador" => "t0020" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">HCV: hepatitis C virus. HBV: hepatitis B virus. NASH: Nonalcoholic steatohepatitis.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Etiology \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" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Alcohol \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96 (81.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HCV + Alcohol \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (5.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HBV + HCV + Alcohol \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (2.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Primary biliary cholangitis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (2.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Autoimmune Hepatitis/NASH/HCV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (1.7%)/2 (1.7%)/2 (1.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HBV/HBV + alcohol/Budd-Chiari syndrome \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (0.8%)/1 (0.8%)/1 (0.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2092125.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0045" class="elsevierStyleSimplePara elsevierViewall">Etiologies of chronic liver disease in the patients enrolled.</p>" ] ] 8 => array:8 [ "identificador" => "t0025" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">SBP: spontaneous bacterial peritonitis. CI: confidence interval.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Factor \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Odds ratio \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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">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="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatorenal syndrome \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.66 \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">3.11-6.97 \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">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Infection \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.36-8.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ascites \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.64 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.66-8.0 \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">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Encephalopathy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.97 \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">1.74-5.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Refractory ascites \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.72 \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">1.80-4.32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.63-3.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Bleeding \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.32-0.91 \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">0.012 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2092126.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0050" class="elsevierStyleSimplePara elsevierViewall">Univariate analysis of risk factors for acute-on-chronic liver failure (ACLF) development.</p>" ] ] 9 => array:8 [ "identificador" => "t0030" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">SBP: spontaneous bacterial peritonitis. CI: confidence interval.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Factor \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">Log-odd (relative risk) \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">Odd ratio \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">(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">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatorrenal syndrome \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51.74 \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">4.10-653.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Infection \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.70 \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">3.67-67.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Encephalopathy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.14-14.84 \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">0.031 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Refractory Ascites \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.93 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.60-25.62 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.152 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Bleeding \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.66-9.97 \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">0.172 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Ascites \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.837 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.54-9.86 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.26 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.65 \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">0.13-3.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.613 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2092127.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0055" class="elsevierStyleSimplePara elsevierViewall">Multivariate analysis of risk factors for acute-on-chronic liver failure (ACLF) development.</p>" ] ] 10 => array:8 [ "identificador" => "t0035" "etiqueta" => "Table 6" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">MELD: model for end-stage liver disease. CLIF-C OF: chronic liver failure consortium organ failure score. CLIF-C ACLF: chronic liver failure consortium ACLF score. CLIF-C AD: chronic liver failure consortium AD score. CI: confidence interval.</span>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="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 " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">28-day mortality</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">90-day mortality</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">N = 118 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AUC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% CI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AUC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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% CI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p for each score AUC \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2016 MELD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.908 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.833-0.983 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.902 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.831-0.973 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C OF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.844 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.728-0.960 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.814 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.715-0.914 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Pugh \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.753 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.653-0.853 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.724 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.624-0.823 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ACLF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28-day mortality</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90-day mortality</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2016 MELD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.774 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.628-0.920 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.880 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.773-0.987 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">< 0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C ACLF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.734 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.571-0.897 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.771 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.619-0.924 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Pugh \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.584 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.405-0.764 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.372 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.603 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.409-0.797 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.292 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28-day mortality</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90-day mortality</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2016 MELD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.695 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.284-1.0 \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">0.349 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.677 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.454-0.900 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.152 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CLIF-C AD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.675 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.255-1.0 \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">0.399 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.622 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.373-0.872 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.322 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Child-Pugh \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.646 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.306-0.986 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.483 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.517 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.274-0.761 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.890 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2092129.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="sp0060" class="elsevierStyleSimplePara elsevierViewall">Area under curve (AUC) for the scores 2016 MELD, CLIF-C OF and Child-Pugh anticipating 28-day and 90-day mortality in the global group (N) and the specific scores for the acute-on-chronic liver failure (ACLF) and acute decompensation (AD) subgroups.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bs0010" "bibliografiaReferencia" => array:24 [ 0 => array:3 [ "identificador" => 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Year/Month | Html | Total | |
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2024 November | 7 | 2 | 9 |
2024 October | 89 | 3 | 92 |
2024 September | 112 | 15 | 127 |
2024 August | 118 | 7 | 125 |
2024 July | 148 | 13 | 161 |
2024 June | 140 | 3 | 143 |
2024 May | 119 | 16 | 135 |
2024 April | 124 | 12 | 136 |
2024 March | 161 | 16 | 177 |
2024 February | 156 | 27 | 183 |
2024 January | 238 | 20 | 258 |
2023 December | 176 | 23 | 199 |
2023 November | 206 | 21 | 227 |
2023 October | 180 | 16 | 196 |
2023 September | 123 | 11 | 134 |
2023 August | 128 | 12 | 140 |
2023 July | 140 | 16 | 156 |
2023 June | 95 | 11 | 106 |
2023 May | 147 | 22 | 169 |
2023 April | 116 | 10 | 126 |
2023 March | 117 | 9 | 126 |
2023 February | 88 | 9 | 97 |
2023 January | 116 | 22 | 138 |
2022 December | 72 | 14 | 86 |
2022 November | 127 | 17 | 144 |
2022 October | 98 | 20 | 118 |
2022 September | 82 | 14 | 96 |
2022 August | 85 | 17 | 102 |
2022 July | 83 | 14 | 97 |
2022 June | 108 | 17 | 125 |
2022 May | 104 | 21 | 125 |
2022 April | 96 | 15 | 111 |
2022 March | 80 | 16 | 96 |
2022 February | 59 | 10 | 69 |
2022 January | 75 | 11 | 86 |
2021 December | 64 | 10 | 74 |
2021 November | 67 | 20 | 87 |
2021 October | 55 | 18 | 73 |
2021 September | 45 | 19 | 64 |
2021 August | 36 | 11 | 47 |
2021 July | 32 | 23 | 55 |
2021 June | 31 | 12 | 43 |
2021 May | 37 | 18 | 55 |
2021 April | 95 | 30 | 125 |
2021 March | 42 | 6 | 48 |
2021 February | 52 | 13 | 65 |
2021 January | 30 | 8 | 38 |
2020 December | 28 | 8 | 36 |
2020 November | 47 | 6 | 53 |
2020 October | 23 | 8 | 31 |
2020 September | 18 | 10 | 28 |
2020 August | 34 | 5 | 39 |
2020 July | 24 | 6 | 30 |
2020 June | 16 | 7 | 23 |
2020 May | 21 | 7 | 28 |
2020 April | 12 | 1 | 13 |
2020 March | 29 | 4 | 33 |
2020 February | 28 | 2 | 30 |
2020 January | 36 | 9 | 45 |
2019 December | 29 | 7 | 36 |
2019 November | 13 | 5 | 18 |
2019 October | 14 | 1 | 15 |
2019 September | 25 | 2 | 27 |
2019 August | 6 | 1 | 7 |
2019 July | 14 | 6 | 20 |
2019 June | 7 | 9 | 16 |
2019 May | 13 | 16 | 29 |