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array:22 [ "pii" => "S2173572724002467" "issn" => "21735727" "doi" => "10.1016/j.medine.2024.10.005" "estado" => "S200" "fechaPublicacion" => "2024-10-25" "aid" => "2096" "copyright" => "Elsevier España, S.L.U. and SEMICYUC" "copyrightAnyo" => "2024" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:17 [ "pii" => "S2173572724002339" "issn" => "21735727" "doi" => "10.1016/j.medine.2024.07.014" "estado" => "S200" "fechaPublicacion" => "2024-10-25" "aid" => "2080" "copyright" => "Elsevier España, S.L.U. and SEMICYUC" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "cor" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:9 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Letter to the Editor</span>" "titulo" => "Moral complexity in the organ donation process: The satisfaction of a job well done" "tienePdf" => "en" "tieneTextoCompleto" => "en" "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Complejidad moral en el proceso de donación de órganos: la satisfacción del trabajo bien hecho" ] ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "José Miguel Pérez-Villares, Ramón Lara-Rosales, Alberto Fernández-Carmona, Alberto Iglesias-Santiago" "autores" => array:4 [ 0 => array:2 [ "nombre" => "José Miguel" "apellidos" => "Pérez-Villares" ] 1 => array:2 [ "nombre" => "Ramón" "apellidos" => "Lara-Rosales" ] 2 => array:2 [ "nombre" => "Alberto" "apellidos" => "Fernández-Carmona" ] 3 => array:2 [ "nombre" => "Alberto" "apellidos" => "Iglesias-Santiago" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572724002339?idApp=WMIE" "url" => "/21735727/unassign/S2173572724002339/v1_202410250423/en/main.assets" ] "itemAnterior" => array:17 [ "pii" => "S2173572724000274" "issn" => "21735727" "doi" => "10.1016/j.medine.2024.02.003" "estado" => "S200" "fechaPublicacion" => "2024-02-25" "aid" => "1976" "copyright" => "Elsevier España, S.L.U. and SEMICYUC" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Fractional excretion of sodium and potassium and urinary strong ion difference in the evaluation of persistent AKI in sepsis" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Excreción fraccional de sodio y potasio, y brecha aniónica urinaria en la evaluación de la IRA persistente en sepsis" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1448 "Ancho" => 1675 "Tamanyo" => 110835 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0135" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">ROC curve showing the area under de curve of FENa, FEK and uSID.</p> <p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">FENa: fractional excretion of sodium; FEK: fractional excretion of potassium; uSID: urinary strong ion difference.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Nicolás Contrera Rolón, Joaquín Cantos, Iván Huespe, Eduardo Prado, Griselda I. Bratti, Carlos Schreck, Sergio Giannasi, Guillermo Rosa Diez, Carlos F. Varela" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Nicolás" "apellidos" => "Contrera Rolón" ] 1 => array:2 [ "nombre" => "Joaquín" "apellidos" => "Cantos" ] 2 => array:2 [ "nombre" => "Iván" "apellidos" => "Huespe" ] 3 => array:2 [ "nombre" => "Eduardo" "apellidos" => "Prado" ] 4 => array:2 [ "nombre" => "Griselda I." "apellidos" => "Bratti" ] 5 => array:2 [ "nombre" => "Carlos" "apellidos" => "Schreck" ] 6 => array:2 [ "nombre" => "Sergio" "apellidos" => "Giannasi" ] 7 => array:2 [ "nombre" => "Guillermo" "apellidos" => "Rosa Diez" ] 8 => array:2 [ "nombre" => "Carlos F." "apellidos" => "Varela" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572724000274?idApp=WMIE" "url" => "/21735727/unassign/S2173572724000274/v1_202402251056/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Early blood pressure drop predicts renal function deterioration and mortality in ICU patients with liver failure: a retrospective cohort study" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Rubing Guo, Jingjing Tong, Li Wang, Bo Yang, Liang Ma, Yongtong Cao, Wei Zhao" "autores" => array:7 [ 0 => array:3 [ "nombre" => "Rubing" "apellidos" => "Guo" "referencia" => array:4 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 3 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">◊</span>" "identificador" => "fn0005" ] ] ] 1 => array:3 [ "nombre" => "Jingjing" "apellidos" => "Tong" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">◊</span>" "identificador" => "fn0005" ] ] ] 2 => array:3 [ "nombre" => "Li" "apellidos" => "Wang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "Bo" "apellidos" => "Yang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 4 => array:4 [ "nombre" => "Liang" "apellidos" => "Ma" "email" => array:1 [ 0 => "liangma321@aliyun.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 5 => array:4 [ "nombre" => "Yongtong" "apellidos" => "Cao" "email" => array:1 [ 0 => "caoyongtong100@sina.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 6 => array:4 [ "nombre" => "Wei" "apellidos" => "Zhao" "email" => array:1 [ 0 => "zhaowei@zryhyy.com.cn" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, 100029, China" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "School of Public Health, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, China" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, China" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Department of Infectious Diseases, China-Japan Friendship Hospital, Beijing, 100029, China" "etiqueta" => "d" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding authors." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El descenso precoz de la presión arterial predice el empeoramiento de la función renal y la mortalidad en pacientes de UCI con insuficiencia hepática: un estudio de cohortes retrospectivo" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1485 "Ancho" => 1500 "Tamanyo" => 142577 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Study design and flowchart of the patient selection process. SBP, systolic blood pressure.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Liver failure is a severe condition characterized by extensive hepatocyte damage, leading to the loss of liver function.<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1,2</span></a> This condition can precipitate multi-organ dysfunction and life-threatening complications. Worsening renal function (WRF) is a common complication observed in patients with liver failure receiving treatment in intensive care units (ICU).<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> The renal system is the most frequently affected organ/system in the context of multi-organ failure in patients with liver failure, with approximately 56% of patients experiencing renal impairment.<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4,5</span></a> WRF in this population is associated with elevated mortality rates and an increased chronic kidney disease risk.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> As a result, the early identification and prevention of liver failure in ICU patients at risk of WRF hold significant clinical importance.</p><p id="par0010" class="elsevierStylePara elsevierViewall">In patients with liver failure, structural changes and distortion in the liver can increase intrahepatic vascular resistance. This leads to the release of potent vasodilators, triggering systemic arterial vasodilation, resulting in inadequate arterial filling and reduced renal blood flow.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,8</span></a> Liver failure is characterized by dilation of visceral arterial vessels, leading to a decrease in systemic vascular resistance.<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9,10</span></a> This can increase the synthesis of vasodilators, resulting in more pronounced vasodilation that cannot be compensated for by an increase in cardiac output (CO).<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> A reduction in the effective blood volume within the systemic circulation may lead to decreased intravascular blood volume, potentially resulting in decreased renal blood flow. Ultimately, these hemodynamic changes within the kidneys and alterations in renal autoregulation may contribute to WRF.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> Moreover, during liver failure, the activation of systemic vasoconstrictor systems—including the renin-angiotensin-aldosterone system, sympathetic nervous system, and vasopressin— can induce renal vasoconstriction. This occurs even in the presence of an elevated CO, further contributing to WRF.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> Studies suggested that the primary cause of acute kidney injury (AKI) in patients with liver cirrhosis is hypovolemia (∼50%), resulting in reduced perfusion. This is followed by intrinsic renal factors such as acute tubular necrosis (∼30%) and hepatorenal syndrome (∼20%).<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,14</span></a> The relationship between early blood pressure decline and WRF has been moderately studied in patients with acute heart failure (AHF). WRF in hospitalized patients with AHF is associated with adverse clinical outcomes and can be predicted by a decline in systolic blood pressures (SBP).<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Notably, a pronounced early SBP decline is associated with increased WRF, worsening heart failure, and increased cardiovascular mortality risk at 180 days. Interestingly, the relationship between SBP decline and prognoses remains consistent, irrespective of the WRF presence.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> To date, no studies have investigated the prognostic implications of early blood pressure decline—encompassing SBP, diastolic blood pressure (DBP), and mean arterial pressure (MAP)—and its association with WRF in ICU patients with liver failure, despite the concurrent occurrence of these events.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Therefore, the present study aimed to investigate the relationship between early blood pressure decline and WRF, as well as the clinical outcomes in ICU patients with liver failure. The findings of this study are expected to contribute to the early identification and intervention of WRF in ICU patients with liver failure, providing a scientific basis for clinical management strategy development and potentially improving patient prognoses.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Patients and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Data source</span><p id="par0020" class="elsevierStylePara elsevierViewall">This study used the Medical Information Mart for Intensive Care IV (MIMIC-IV) version 2.2 database. MIMIC IV is a large-scale clinical database that includes the detailed medical records of tens of thousands of ICU patients.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> Access to this database can be obtained through legitimate channels, and detailed information can be found on its official website (<a href="https://mimic.mit.edu">https://mimic.mit.edu</a>).</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Study population</span><p id="par0025" class="elsevierStylePara elsevierViewall">All patients in the MIMIC IV database were included in the study. The inclusion criteria were as follows: (1) admission to the ICU for the first time during their first hospitalization; (2) diagnosis of liver failure according to the International Classification of Diseases (ICD), Ninth Revision (ICD-9), and Tenth Revision (ICD-10) codes. (Table S1); and (3) age ≥18 years. Patients with a peak SBP drop of <0 mmHg were excluded.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Data extraction</span><p id="par0030" class="elsevierStylePara elsevierViewall">We extracted demographics, comorbidities, vital signs, and laboratory results from the MIMIC IV database using Structured Query Language and tools such as Navicat. Comorbidities were identified through ICD-9/10 codes (Table S1). The following tables from the MIMIC IV database were used: "diagnoses_icd," "labevents," "patients," "chartevents," and "ICUstays." The average blood pressure value measured within the first hour after ICU admission was taken as the baseline SBP. The recorded creatinine value at the first monitoring after ICU admission was considered the baseline creatinine level. Additionally, the average of the highest and lowest laboratory indices values obtained within 24 h after ICU admission were used to determine the baseline values for laboratory indices.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Exposure and outcomes</span><p id="par0035" class="elsevierStylePara elsevierViewall">Peak SBP drop was defined as the difference between the baseline and the lowest values recorded within the first 48 h of the study period.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> For example, if the baseline SBP was 150 mmHg and the lowest SBP within 48 h was 125 mmHg, the drop in peak SBP would be 25 mmHg (not −25 mmHg). WRF was defined as an increase in serum creatinine levels by ≥0.3 mg/dL from baseline to any point on day 5.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Sixty-day in-hospital survival was defined as the duration between admission to the ICU and either in-hospital death or loss to follow-up at the study’s conclusion, whichever happened first.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Statistical analysis</span><p id="par0040" class="elsevierStylePara elsevierViewall">Baseline characteristics were summarized according to the peak SBP drop tertiles within the first 48 h of the study period. Normally distributed data are presented as means ± standard deviations, skewed variables as medians (interquartile ranges), and categorical variables as frequencies (percentages). Analysis of variance was used for normally distributed variables, the Kruskal-Wallis test was used for skewed variables, and the chi-squared test was used for categorical variables.</p><p id="par0045" class="elsevierStylePara elsevierViewall">To evaluate the determinants of peak SBP decline, a multivariate linear regression model was developed to assess the decline in SBP within 48 h using baseline clinical characteristics and routine laboratory parameters of the patients.</p><p id="par0050" class="elsevierStylePara elsevierViewall">Cox proportional hazard models were constructed to determine the relationship between peak blood pressure decline and both WRF and 60-day in-hospital mortality. In the multivariate models, adjustment for covariates was performed by introducing covariates into the baseline model or excluding covariates from the full model if they induced more than 10% alteration in the regression coefficient of the independent variable.</p><p id="par0055" class="elsevierStylePara elsevierViewall">A generalized additive model was used to explore the potential nonlinear relationship between the peak blood pressure drop and WRF. Hierarchical Cox regression models were used for subgroup analyses, and likelihood ratio tests were conducted to evaluate the interactions among the subgroups. Kaplan–Meier curves were analyzed using the log-rank test. Statistical analyses were performed using the R version 4.3.2 (<a href="http://www.R-project.org">http://www.R-project.org</a>). The two-sided significance level was set at 0.05.</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Results</span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Patient characteristics</span><p id="par0060" class="elsevierStylePara elsevierViewall">Among the 1,062 patients with liver failure who were admitted to ICUs for the first time, 1,039 adult patients experienced an early drop in peak SBP, and these patients were included in the final cohort of this study. The patient screening process is illustrated in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. Baseline characteristics and outcomes are succinctly encapsulated according to peak SBP decrease tertiles within the MIMIC IV dataset, as delineated in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Compared to patients in the low tertile, those in the high tertile of peak SBP drop were more likely to exhibit the following characteristics: heart failure; older age; rapid respiratory rate; elevated heart rate; higher baseline SBP, DBP, and MAP levels; increased levels of alanine aminotransferase, lactate dehydrogenase, potassium, and sodium; lower levels of alkaline phosphatase, and total bilirubin; and a higher risk of developing WRF. Additionally, they had a higher mortality rate (60 days) during their hospital stays.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Predictors of SBP drop within 48 h from baseline</span><p id="par0065" class="elsevierStylePara elsevierViewall">Table S2 presents the factors associated with the peak SBP drop in the univariate and multivariate linear regression analyses. Within the multivariate linear regression analysis, baseline SBP emerged as the strongest predictor of a greater drop in peak SBP within 48 h. Other independent predictors of a greater SBP decrease included older age, elevated heart rate, increased respiratory rate, higher international normalized ratio (INR), respiratory failure, and elevated serum potassium levels.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Relationship between SBP drop and WRF</span><p id="par0070" class="elsevierStylePara elsevierViewall">Figure <a class="elsevierStyleCrossRef" href="#sec0115">S1</a> displays the survival curves of the WRF model stratified by the peak SBP drop tertiles within 48 h. The results indicated that patients in the high tertile of peak SBP drop were more likely to develop WRF. In the multivariate Cox regression analysis, accounting for potential confounders including baseline SBP (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>), a drop in peak SBP was positively associated with WRF (hazard ratio [HR]: 1.08 per 10 mmHg drop, 95% confidence interval [CI]: 1.03, 1.13). Within fully adjusted model 3, the HR and 95% CI for the high and middle tertiles with respect to dipped peak SBP were 1.63 (1.26, 2.10) and 1.26 (1.00, 1.59), respectively, compared to the low tertile (P for trend <0.001).We used generalized additive models to evaluate the relationship between the peak blood pressure drop and WRF (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>). This analysis showed a sustained positive correlation between early peak SBP, and WRF after adjusting for potential confounders with no threshold effect observed (P-nonlinear >0.05).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Subgroup analysis</span><p id="par0075" class="elsevierStylePara elsevierViewall">To examine the correlation between early peak SBP drop and WRF occurrence, we conducted subgroup analyses. Patients were stratified based on age, sex, race, body mass index (BMI), baseline blood pressure, and comorbidities to discern potential risk factors and identify any special population that might influence this association. The results from the subgroup analysis revealed no significant interaction between a greater drop in early peak SBP and a high risk for WRF across all subgroups (P > 0.05 for all interactions, Figure <a class="elsevierStyleCrossRef" href="#sec0115">S2</a>).</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Relationship between SBP drop and prognosis</span><p id="par0080" class="elsevierStylePara elsevierViewall">To determine whether the impact of greater SBP drops on prognosis is mediated by the occurrence of WRF, patients were categorized into four groups: peak SBP drop ≤ median without WRF (n = 294), peak SBP drop ≤ median with WRF (n = 221), peak SBP drop > median without WRF (n = 232), and peak SBP drop > median with WRF (n = 292). Kaplan-Meier curve analysis for 60-day in-hospital mortality showed significant differences among the groups, with increased mortality rates observed in patients with peak SBP drops above the median and in those with WRF (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). In the adjusted Cox regression analysis (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>), a 10 mmHg decline in peak SBP correlated with a 14% rise in the 60-day in-hospital mortality risk (P < 0.001). Furthermore, we found that patients presenting with both WRF and an early peak SBP drops above the median exhibited the highest 60-day mortality risk (HR [95% CI] = 2.99 [2.21, 4.04], P < 0.001). This was followed by patients without WRF, yet with an early peak SBP drop above the median (HR [95% CI] = 2.29 [1.62, 3.22], P < 0.001), and lastly, patients with WRF and an early peak SBP drop at or below the median (HR [95% CI] = 1.34 [0.98, 1.83], P = 0.035).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0170">Relationship between peak DBP and MAP drop and WRF and 60-day in-hospital mortality</span><p id="par0085" class="elsevierStylePara elsevierViewall">To delve deeper into the correlation between early blood pressure decline and clinical outcomes among ICU patients with liver failure, we examined two other commonly utilized blood pressure parameters alongside SBP. After accounting for potential confounding factors, a decrease of 10 mmHg in the DBP was linked to an HR of 1.11 (95% CI: 1.02, 1.20; P = 0.013) for WRF, as well as an HR of 1.20 (95% CI: 1.10, 1.32; P < 0.001) for mortality within a 60-day hospitalization period. Similarly, a 10 mmHg reduction in the MAP was associated with an HR of 1.11 (95% CI: 1.04, 1.19; P = 0.004) for WRF, as well as an HR of 1.44 (95% CI: 1.34, 1.55; P < 0.001) for 60-day in-hospital mortality (Table S3).</p></span></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0175">Discussion</span><p id="par0090" class="elsevierStylePara elsevierViewall">This retrospective cohort study using the MIMIC-IV database found that for every 10 mmHg drop in early peak blood pressure (SBP, DBP, and MAP) in ICU patients with liver failure, the risk of developing WRF increased by 8%, 11%, and 11%, respectively. This correlation was independent of the patient's baseline clinical characteristics, including baseline blood pressure. In addition, a 10 mmHg drop in early peak blood pressure (SBP, DBP, MAP) was associated with a 14%, 20%, and 44% increased risk of 60-day hospital mortality, respectively. These findings underscore the importance of blood pressure monitoring and management in patients with liver failure. Clinicians should remain vigilant in identifying patients at risk of experiencing a substantial early drop in blood pressure, as this may indicate a higher likelihood of developing WRF and subsequent adverse outcomes. Strategies to prevent or mitigate this drop in blood pressure, such as optimizing fluid status and adjusting medication regimens, may improve patient outcomes.</p><p id="par0095" class="elsevierStylePara elsevierViewall">In addition to examining the link between an early peak blood pressure drop and the risk and prognosis of WRF in ICU patients with liver failure, we identified independent predictors of an early drop in peak SBP. These factors included older age, increased respiratory rates, elevated heart rates, elevated INRs, elevated blood potassium levels, and concomitant respiratory failure. However, the strongest predictor of a drop in peak SBP is its baseline level. Our findings are consistent with those of previous studies concerning predictors of early SBP drop in patients with AHF, in which a higher baseline SBP was the strongest predictor.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16,18,19</span></a> However, it is important to note that this finding may be attributed to "regression toward the mean" rather than specific pathophysiologic mechanisms, which makes predicting early SBP drops based on patient characteristics challenging.</p><p id="par0100" class="elsevierStylePara elsevierViewall">Our subgroup analysis revealed a consistent association between an early drop in SBPs and the WRF risk across all subgroups (age, sex, BMI, race, baseline SBP, and comorbidities), indicating the stability of this relationship within each subgroup. Previous studies have indicated a significant positive correlation between baseline SBP and WRF risk. However, when considering these factors in a multivariate regression model, an early SBP drop, rather than baseline SBP levels, was independently linked to a higher risk of WRF.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> In our study, the connection between an early peak SBP drop and a heightened WRF risk persisted within the subgroups with higher baseline SBP and hypertension. This suggests that in clinical practice, a significant early drop in SBP should be avoided, even in patients with higher baseline SBP or concomitant hypertension in ICU patients with liver failure.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Portal hypertension is a key feature of disease progression in cirrhosis.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> A previous study by Garg et al. revealed that the baseline hepatic venous pressure gradient (HVPG) is a predictor of mortality in patients with acute-on-chronic liver failure, and that early elevation of portal pressure may increase the risk of variceal bleeding.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> Elevated portal pressures lead to systemic hemodynamic changes, such as increased CO, decreased peripheral vascular resistance, and a reduction in MAP. Our study showed that an early drop in blood pressure in ICU patients with liver failure was an independent predictor of 60-day hospitalization. A 10 mmHg decrease in early SBP, DBP, or MAP was associated with a 14%, 20%, and 44% increase in the risk of 60-day in-hospital mortality, respectively. Our findings suggest that an early blood pressure drop may serve as a more accessible and cost-effective predictor of prognosis than more complex measurements such as HVPGs. Early peak blood pressure drop measurements are readily available in clinical practice and can provide valuable information for risk stratification and prognostic assessment.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a> Additionally, several studies have indicated that worse baseline renal function and AKI are independently associated with worse prognoses.<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24,25</span></a> Our study demonstrated that patients with a greater early drop in blood pressure and the development of WRF had the highest 60-day risk of in-hospital death, similar to previous studies. These findings present novel ideas for diagnostic and prognostic assessment. However, further validation and studies are warranted to confirm their clinical applications.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Our study has several strengths. First, this is the first study to explore the relationship between early blood pressure drops, WRF, and prognoses in ICU patients with liver failure. Furthermore, we investigated the associations between early DBP and MAP drops, WRF, and prognoses for the first time. Second, this study utilized data from the MIMIC IV database, offering the advantages of a large sample size and numerous blood pressure measurements taken at short intervals. Third, a subgroup analysis was conducted to examine the relationship between early blood drops and renal function deterioration in different subgroups. The results consistently demonstrated this association across various subgroups, thus enhancing the generalizability and applicability of the findings. Finally, the study was adjusted for potential confounding factors, including baseline blood pressure, to assess the independent correlation between early blood pressure drop and outcomes, thereby minimizing the impact of other factors and providing a more accurate estimation of the relationship.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Nonetheless, our study had some limitations. The included patients with liver failure were diagnosed using ICD-10 codes, which may have introduced bias in the available information about the liver failure cohort. Additionally, as this was a retrospective cohort study, a causal relationship between the early peak blood pressure drops and the occurrence and mortality rates of WRF could not be proven. Nevertheless, this large-scale cohort study utilizing a comprehensive database and multiple statistical methods demonstrated a correlation between early peak blood pressure drops and WRF, offering valuable clinical reference points. Finally, owing to the complex interactions between diseases, some confounding factors may still exist that could potentially mask or magnify the relationship between the study factors and the WRF.</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0180">Conclusions</span><p id="par0120" class="elsevierStylePara elsevierViewall">Our findings suggest a significant association between an early drop in SBP, DBP, and MAP within the first 48 h and the development of WRF and 60-day in-hospital mortality among ICU patients with liver failure. In addition, early blood pressure drops and WRF development were associated with a poorer prognosis in patients with these risk factors, compared to other patients. However, further studies are needed to determine the causal relationship between blood pressure changes and renal function and its impact on prognoses.</p></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0185">CRediT authorship contribution statement</span><p id="par0125" class="elsevierStylePara elsevierViewall">Rubing Guo: Writing – review & editing, Writing – original draft, Validation, Supervision, Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Jingjing Tong: Methodology, Investigation, Formal analysis, Conceptualization. Li Wang: Data curation. Bo Yang: Data curation. Liang Ma: Methodology. Yongtong Cao: Methodology. Wei Zhao: Methodology, Investigation, Formal analysis, Data curation, Conceptualization.</p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0190">Consent for publication</span><p id="par0130" class="elsevierStylePara elsevierViewall">Not applicable.</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0195">Ethics approval and consent to participate</span><p id="par0135" class="elsevierStylePara elsevierViewall">Because our study was an independent research analysis of the already available MIMIC IV database, no approval was obtained from our local ethics committee, although it was reviewed and approved by the PhysioNet Review Board. The requirement for informed consent was waived owing to the retrospective nature of the study.</p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0200">Funding</span><p id="par0140" class="elsevierStylePara elsevierViewall">This work was supported by the <span class="elsevierStyleGrantSponsor" id="gs0005">National High Level Hospital Clinical Research Funding</span> [grant number <span class="elsevierStyleGrantNumber" refid="gs0005">2023-NHLHCRF-PY-04</span>]; the <span class="elsevierStyleGrantSponsor" id="gs0010">Wu Jieping Medical Foundation</span> [grant number <span class="elsevierStyleGrantNumber" refid="gs0010">320.6750.2023-06-60</span>]; and the <span class="elsevierStyleGrantSponsor" id="gs0015">Research Projects of Gansu Provincial Hospital</span> [grant number <span class="elsevierStyleGrantNumber" refid="gs0015">23GSSYD-25</span>].</p></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0205">Availability of data and materials</span><p id="par0145" class="elsevierStylePara elsevierViewall">The present investigation utilized openly accessible datasets. The aforementioned data can be accessed via the following link. The MIMIC IV database (version 2.2) is publicly accessible at <a href="https://mimic-iv.mit.edu">https://mimic-iv.mit.edu</a>. Researchers who comply with the stipulated data utilization requirements are granted authorization to access these databases.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:16 [ 0 => array:3 [ "identificador" => "xres2282424" "titulo" => "Abstract" "secciones" => array:8 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Design" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Setting" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Patients" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Intervention" ] 5 => array:2 [ "identificador" => "abst0030" "titulo" => "Main variables of interest" ] 6 => array:2 [ "identificador" => "abst0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1898682" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres2282425" "titulo" => "Resumen" "secciones" => array:8 [ 0 => array:2 [ "identificador" => "abst0045" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0050" "titulo" => "Diseño" ] 2 => array:2 [ "identificador" => "abst0055" "titulo" => "Ámbito" ] 3 => array:2 [ "identificador" => "abst0060" "titulo" => "Pacientes" ] 4 => array:2 [ "identificador" => "abst0065" "titulo" => "Intervención" ] 5 => array:2 [ "identificador" => "abst0070" "titulo" => "Variables de interés principales" ] 6 => array:2 [ "identificador" => "abst0075" "titulo" => "Resultados" ] 7 => array:2 [ "identificador" => "abst0080" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1898683" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Patients and methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Data source" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Study population" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Data extraction" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Exposure and outcomes" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0040" "titulo" => "Results" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "sec0045" "titulo" => "Patient characteristics" ] 1 => array:2 [ "identificador" => "sec0050" "titulo" => "Predictors of SBP drop within 48 h from baseline" ] 2 => array:2 [ "identificador" => "sec0055" "titulo" => "Relationship between SBP drop and WRF" ] 3 => array:2 [ "identificador" => "sec0060" "titulo" => "Subgroup analysis" ] 4 => array:2 [ "identificador" => "sec0065" "titulo" => "Relationship between SBP drop and prognosis" ] 5 => array:2 [ "identificador" => "sec0070" "titulo" => "Relationship between peak DBP and MAP drop and WRF and 60-day in-hospital mortality" ] ] ] 7 => array:2 [ "identificador" => "sec0075" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0080" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0085" "titulo" => "CRediT authorship contribution statement" ] 10 => array:2 [ "identificador" => "sec0090" "titulo" => "Consent for publication" ] 11 => array:2 [ "identificador" => "sec0095" "titulo" => "Ethics approval and consent to participate" ] 12 => array:2 [ "identificador" => "sec0100" "titulo" => "Funding" ] 13 => array:2 [ "identificador" => "sec0105" "titulo" => "Availability of data and materials" ] 14 => array:2 [ "identificador" => "xack784149" "titulo" => "Acknowledgments" ] 15 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2024-04-14" "fechaAceptado" => "2024-08-26" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1898682" "palabras" => array:5 [ 0 => "Liver failure" 1 => "Renal function" 2 => "Blood pressure" 3 => "Critical care" 4 => "Prognosis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1898683" "palabras" => array:5 [ 0 => "Insuficiencia hepática" 1 => "Función renal" 2 => "Presión arterial" 3 => "Cuidados críticos" 4 => "Pronóstico" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">To investigate the association between early blood pressure drop and worsening renal function (WRF) in ICU patients with liver failure and to evaluate their clinical outcomes.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Design</span><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Retrospective observational study.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Setting</span><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Intensive Care Medicine.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Patients</span><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Patients admitted to the ICU for the first time during their first hospitalization; diagnosed with liver failure according to the International Classification of Diseases, Ninth and Tenth Revision codes; and aged ≥18 years were included. Patients with a peak systolic blood pressure (SBP) drop of <0 mmHg were excluded.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Intervention</span><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">We analyzed data of ICU patients with liver failure from the Medical Information Mart for Intensive Care IV version 2.2 database. Descriptive statistics, analysis of variance, Kruskal–Wallis test, and chi-square test were employed for analysis. Multivariate linear regression models were used to assess the determinants of blood pressure decline. Cox proportional hazards and generalized additive models were used to evaluate</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Main variables of interest</span><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">The relationship between blood pressure decline, WRF, and 60-day in-hospital mortality were evaluated, along with subgroup analyses.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Results</span><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Peak SBP drop was independently associated with higher risks of WRF (P < 0.001) and 60-day in-hospital mortality (P < 0.001), even after adjusting for potential confounders, including baseline SBP. The independent risk relationship observed between peak diastolic blood pressure, mean arterial pressure drop, and the occurrence of WRF and 60-day in-hospital mortality was similar.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Conclusions</span><p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">In ICU patients with liver failure, a significant early drop in blood pressure was associated with a higher incidence of WRF, increased risk of 60-day in-hospital mortality, and poorer prognoses.</p></span>" "secciones" => array:8 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Design" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Setting" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Patients" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Intervention" ] 5 => array:2 [ "identificador" => "abst0030" "titulo" => "Main variables of interest" ] 6 => array:2 [ "identificador" => "abst0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Objetivo</span><p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">Investigar la asociación entre los descensos precoces de la presión arterial y el empeoramiento de la función renal (EFR) en pacientes de la UCI con insuficiencia hepática y evaluar sus resultados clínicos.</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Diseño</span><p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Estudio observacional retrospectivo.</p></span> <span id="abst0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Ámbito</span><p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">Medicina Intensiva.</p></span> <span id="abst0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Pacientes</span><p id="spar0135" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron los pacientes ingresados en la UCI por primera vez durante su primera hospitalización, diagnosticados de insuficiencia hepática según los códigos de la Clasificación Internacional de Enfermedades, Novena y Décima Revisión, y con una edad ≥18 años. Se excluyó a los pacientes con un descenso máximo de la PAS < 0 mmHg.</p></span> <span id="abst0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Intervención</span><p id="spar0140" class="elsevierStyleSimplePara elsevierViewall">Se analizaron los datos de los pacientes de la UCI con insuficiencia hepática de la base de datos Medical Information Mart for Intensive Care IV, versión 2.2. Para el análisis se emplearon estadísticas descriptivas, análisis de varianza, prueba de Kruskal–Wallis y prueba de ji-cuadrado. Se utilizaron modelos de regresión lineal multivariante para evaluar los factores determinantes del descenso de la presión arterial. Se utilizaron modelos de riesgos proporcionales de Cox y modelos aditivos generalizados para evaluar. Se utilizaron modelos de riesgos proporcionales de Cox y modelos aditivos generalizados para evaluar.</p></span> <span id="abst0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Variables de interés principales</span><p id="spar0145" class="elsevierStyleSimplePara elsevierViewall">Se evaluó la relación entre el descenso de la presión arterial, el EFR y la mortalidad intrahospitalaria a los 60 días, junto con análisis de subgrupos.</p></span> <span id="abst0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Resultados</span><p id="spar0150" class="elsevierStyleSimplePara elsevierViewall">El descenso máximo de la presión arterial sistólica (PAS) se asoció de forma independiente con mayores riesgos de EFR (p < 0,001) y mortalidad intrahospitalaria a los 60 días (p < 0,001), incluso tras ajustar por posibles factores de confusión, incluida la PAS basal. La relación de riesgo independiente observada entre la presión arterial diastólica máxima, la caída de la presión arterial media y la aparición de EFR y mortalidad hospitalaria a los 60 días fue similar.</p></span> <span id="abst0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conclusiones</span><p id="spar0155" class="elsevierStyleSimplePara elsevierViewall">En los pacientes de la UCI con insuficiencia hepática, una caída precoz significativa de la presión arterial se asoció con una mayor incidencia de EFR, un mayor riesgo de mortalidad intrahospitalaria a los 60 días y un peor pronóstico.</p></span>" "secciones" => array:8 [ 0 => array:2 [ "identificador" => "abst0045" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0050" "titulo" => "Diseño" ] 2 => array:2 [ "identificador" => "abst0055" "titulo" => "Ámbito" ] 3 => array:2 [ "identificador" => "abst0060" "titulo" => "Pacientes" ] 4 => array:2 [ "identificador" => "abst0065" "titulo" => "Intervención" ] 5 => array:2 [ "identificador" => "abst0070" "titulo" => "Variables de interés principales" ] 6 => array:2 [ "identificador" => "abst0075" "titulo" => "Resultados" ] 7 => array:2 [ "identificador" => "abst0080" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "◊" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">These authors contributed equally.</p>" "identificador" => "fn0005" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0165" class="elsevierStylePara elsevierViewall">The following is Supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0115" ] ] ] ] "multimedia" => array:7 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1485 "Ancho" => 1500 "Tamanyo" => 142577 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Study design and flowchart of the patient selection process. SBP, systolic blood pressure.</p>" ] ] 1 => array:8 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1184 "Ancho" => 1675 "Tamanyo" => 98957 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0010" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Smooth hazard plot to evaluate WRF risk across the spectrum of SBP drop in adjusted models. WRF, worsening renal function; SBP, systolic blood pressure; CI, confidence interval.</p>" ] ] 2 => array:8 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1819 "Ancho" => 2175 "Tamanyo" => 243572 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curves for 60-day in-hospital mortality stratified by SBP drop within 48 h with/without WRF. SBP, systolic blood pressure; WRF, worsening renal function.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0020" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">SBP, systolic blood pressure; BMI, body mass index; INR, international normalized ratio; ALT, alanine aminotransferase; ALP, alkaline phosphatase; AST, aspartate aminotransferase; LDH, lactate dehydrogenase; BUN, blood urea nitrogen; SPO<span class="elsevierStyleInf">2</span>, oxygen saturation; CKD, chronic kidney disease; DBP, diastolic blood pressure; MAP, mean arterial pressure; WRF, worsening renal function.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Peak SBP Drop Tertiles</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">P-value</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Low tertile (0−23 mm Hg) (N = 331) \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">Medium tertile (23−39 mm Hg) (N = 354) \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">High tertile (39−140 mm Hg) (N = 354) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (y) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58.0 ± 15.3 \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">60.4 ± 14.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.2 ± 15.0 \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">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Sex (Male) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">200 (60.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">221 (62.4%) \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">211 (59.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.731 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI (kg/m<span class="elsevierStyleSup">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">30.5 ± 6.5 \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">30.3 ± 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">30.4 ± 7.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.960 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Race \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.066 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>White \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">205 (61.9%) \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">210 (59.3%) \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">189 (53.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126 (38.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">144 (40.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">165 (46.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Laboratory parameters</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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">1.8 (1.4−2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.8 (1.4−2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.8 (1.4−2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.283 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ALT (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88.0 (30.0−468.2) \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">80.8 (30.1−352.2) \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">117.5 (35.1−581.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.041 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ALP (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123.5 (82.2−184.0) \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">114.8 (76.0−172.3) \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">108.0 (74.8−159.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.013 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>AST (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">192.0 (69.5−883.8) \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">170.8 (65.0−629.4) \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">237.8 (71.2−927.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.123 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LDH (U/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">546.0 (310.5−1111.4) \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">498.3 (325.7−900.4) \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">654.5 (353.3−1334.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total bilirubin (mg/dL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (1.2−8.2) \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">2.7 (1.0−6.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.0 (0.9−5.1) \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="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><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>BUN (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">30.5 (17.5−48.5) \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">29.5 (17.0−50.5) \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">29.5 (18.0−46.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.558 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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">1.5 (0.9−2.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.4 (1.0−2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7 (1.1−2.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.306 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Potassium (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 ± 0.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 ± 0.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.6 ± 0.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sodium (mmol/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">136.6 ± 6.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">137.5 ± 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">138.0 ± 6.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.015 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Vital signs</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Respiratory rate (breaths/min) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.9 ± 4.6 \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">20.6 ± 4.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21.4 ± 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="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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart rate (beats/min) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89.9 ± 16.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91.1 ± 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">94.2 ± 18.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Temperature (℃) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.8 ± 0.6 \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">36.8 ± 0.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.8 ± 0.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.533 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SPO<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">96.2 ± 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">96.5 ± 2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96.1 ± 3.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.159 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Coexisting illness</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88 (26.6%) \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">108 (30.5%) \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">97 (27.4%) \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">0.480 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes mellitus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83 (25.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">109 (30.8%) \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">86 (24.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.105 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79 (23.9%) \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">91 (25.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">117 (33.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.017 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CKD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">56 (16.9%) \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">72 (20.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 (23.2%) \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">0.126 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Respiratory failure \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">177 (53.5%) \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">192 (54.2%) \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">204 (57.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.503 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Baseline SBP (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">103.3 ± 15.0 \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">114.6 ± 14.4 \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">129.4 ± 24.5 \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Baseline DBP (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">61.8 ± 13.3 \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">66.7 ± 13.0 \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">73.7 ± 19.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Baseline 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">75.6 ± 12.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82.7 ± 11.8 \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">92.3 ± 19.0 \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>WRF through day 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">143 (43.2%) \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">172 (48.6%) \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">198 (55.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Death through day 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">112 (33.8%) \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">142 (40.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">181 (51.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3700935.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of patients stratified by peak SBP drop tertiles (within first 48 h).</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0025" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Non-adjusted model considered: none.</p><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Model I was adjusted for baseline SBP.</p><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Model II was adjusted for age, sex, baseline SBP, total bilirubin, creatinine, potassium, respiratory rate, heart rate, and respiratory failure.</p><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">SBP, systolic blood pressure; WRF, worsening renal function; HR, hazard ratio; CI, confidence interval.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Exposure</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-adjusted model</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model I</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model II</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR (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-value \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">HR (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-value \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">HR (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-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak SBP drop (per 10 mmHg drop) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.05 (1.01, 1.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.011 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.15 (1.10, 1.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.08 (1.03, 1.13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " colspan="7" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak SBP drop tertile</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Middle \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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 (0.92, 1.43) \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">0.242 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.35 (1.07, 1.70) \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">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.26 (1.00, 1.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.047 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>High \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.44 (1.16, 1.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.12 (1.66, 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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.63 (1.26, 2.10) \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>P for trend \t\t\t\t\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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3700936.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Association between peak SBP drop (per 10 mmHg) within 48 h from baseline and WRF.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0030" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Non-adjusted model considered: none.</p><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Model I was adjusted for baseline SBP.</p><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Model II was adjusted for age, sex, baseline SBP, total bilirubin, creatinine, potassium, respiratory rate, heart rate, and respiratory failure.</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">SBP, systolic blood pressure; WRF, worsening renal function; HR, hazard ratio; CI, confidence interval.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Exposure</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-adjusted model</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model I</th><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Model II</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR (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-value \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">HR (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-value \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">HR (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-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak SBP drop (per 10 mmHg drop) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.09 (1.05, 1.13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.20 (1.14, 1.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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><td class="td" title="\n \t\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 (1.09, 1.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " colspan="7" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak SBP drop median</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP drop ≤ median without WRF \t\t\t\t\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="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.00 (Ref.)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP drop ≤ median with WRF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.02 (1.49, 2.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.87 (1.38, 2.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.34 (0.98, 1.83) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.070 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP drop > median without WRF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.60 (1.17, 2.18) \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">0.004 \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">2.54 (1.81, 3.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.29 (1.62, 3.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP drop > median with WRF \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.48 (2.65, 4.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="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><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.58 (3.46, 6.06) \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.99 (2.21, 4.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\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></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3700937.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Associations of SBP drops within 48 h with/without WRF and 60-day in-hospital mortality.</p>" ] ] 6 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.docx" "ficheroTamanyo" => 1524194 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Apoptosis and necroptosis in the liver: a matter of life and death" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "R.F. 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