Dataset Information

Acute on Chronic Liver Failure-In-Hospital Predictors of Mortality in ICU.

ABSTRACT:

Aims

We studied in-hospital predictors of mortality of acute on chronic liver failure (ACLF) in Indian patients.

Methods

Patients admitted to the intensive care unit of our institute fulfilling the definition of ACLF based on the Asia-Pacific Association for Study of Liver Disease (APASL) consensus were included. Complete history and medical evaluation to assess the etiology of underlying liver cirrhosis and to identify the acute precipitating insult of worsening liver function was done. Data was prospectively recorded and various scoring systems and individual clinical and laboratory parameters were assessed to identify predictors of 28 days mortality.

Results

64 out of 240 patients screened for ACLF were analyszed in the study. Median age was 44 years and 53% were males. Alcohol was the primary cause of cirrhosis in 60.93%. Infections and active alcoholism was the main precipitating acute insult in 43% and 37% patients respectively. 28% patients had history of ingestion of hepato-toxic drugs as the acute insult. More than one acute insult was seen in 37.5% patients and type-II hepatic injury was the most common type. 28 days in hospital mortality was 43.75% and was highest in patients with sepsis (67.8%). Presence of hepato-renal syndrome and need for ventilation was associated with poor outcome. Though multiple variables were significant in predicting mortality on univariate analysis, yet on regression model only APACHE II and shock could significantly predict mortality with odds ratio of 3.18 and 9.14 respectively. Highest mortality was seen with cerebral and lung as organ failure and mortality increased as the number of organ failure worsened. CLIF-SOFA and APACHE-II scores having area under curve > 0.8 had higher ability to predict mortality.

Conclusion

ACLF carries high short-term mortality and early intervention by liver transplantation should be considered in patients who shows high risk of mortality.

SUBMITTER: Kulkarni S

PROVIDER: S-EPMC5992306 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

Acute on Chronic Liver Failure-In-Hospital Predictors of Mortality in ICU.

Kulkarni Sujay S Sharma Mithun M Rao Padaki N PN Gupta Rajesh R Reddy Duvvuru N DN

Journal of clinical and experimental hepatology 20171123 2

<h4>Aims</h4>We studied in-hospital predictors of mortality of acute on chronic liver failure (ACLF) in Indian patients.<h4>Methods</h4>Patients admitted to the intensive care unit of our institute fulfilling the definition of ACLF based on the Asia-Pacific Association for Study of Liver Disease (APASL) consensus were included. Complete history and medical evaluation to assess the etiology of underlying liver cirrhosis and to identify the acute precipitating insult of worsening liver function wa ...[more]

PMID: 29892177

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Project description:To validate prognostic scores for acute decompensation of cirrhosis and acute-on-chronic liver failure in Brazilian patients.This is a prospective cohort study designed to assess the prognostic performance of the chronic liver failure-consortium (CLIF-C) acute decompensation score (CLIF-C AD) and CLIF-C acute-on-chronic liver failure score (CLIF-C ACLF), regarding 28-d and 90-d mortality, as well as to compare them to other prognostic models, such as Model for End-Stage Liver Disease (MELD), MELD Sodium (MELD-Na), Child-Pugh (CP) score, and the CLIF-C Organ Failure score (CLIF-C OF). All participants were adults with acute decompensation of cirrhosis admitted to the Emergency Department of a tertiary hospital in southern Brazil. Prognostic performances were evaluated by means of the receiver operating characteristic (ROC) curves, area under the curves (AUC) and 95%CI.One hundred and thirteen cirrhotic patients were included. At admission, 18 patients had acute-on-chronic liver failure (ACLF) and 95 individuals had acute decompensation (AD) without ACLF, of which 24 eventually developed ACLF during the course of hospitalization (AD evolving to ACLF group). The AD group had significantly lower 28-d (9.0%) and 90-d (18.3%) mortality as compared to the AD evolving to ACLF group and to the ACLF group (both P < 0.001). On the other hand, 28-d and 90-d mortalities were not significantly different between AD evolving to ACLF group and ACLF group (P = 0.542 and P = 0.708, respectively). Among patients with ACLF, at 28 d from the diagnosis, CLIF-C ACLF was the only score able to predict mortality significantly better than the reference line, with an AUC (95%CI) of 0.71 (95%CI: 0.54-0.88, P = 0.021). Among patients with AD, all prognostic scores performed significantly better than the reference line regarding 28-d mortality, presenting with similar AUCs: CLIF-C AD score 0.75 (95%CI: 0.63-0.88), CP score 0.72 (95%CI: 0.59-0.85), MELD score 0.75 (95%CI: 0.61-0.90), MELD-Na score 0.76 (95%CI: 0.61-0.90), and CLIF-C OF score 0.74 (95%CI: 0.60-0.88). The same occurred concerning AUCs for 90-d mortality: CLIF-C AD score 0.70 (95%CI: 0.57-0.82), CP score 0.73 (95%CI: 0.62-0.84), MELD score 0.71 (95%CI: 0.59-0.83), MELD-Na score 0.73 (95%CI: 0.62-0.84), and CLIF-C OF score 0.65 (95%CI: 0.52-0.78).This study demonstrated that CLIF-C ACLF is the best available score for the prediction of 28-d mortality among patients with ACLF. CLIF-C AD score is also useful for the prediction of mortality among cirrhotic patients with AD not fulfilling diagnostic criteria for ACLF, but it was not superior to other well-established prognostic scores.

Project description:Nosocomial acute-on-chronic liver failure (nACLF) develops in at least 10% of patients with cirrhosis hospitalized for acute decompensation (AD), greatly worsening their prognosis. In this prospective observational study, we aimed to identify rapidly obtainable predictors at admission, which allow for the early recognition and stratification of patients at risk of nACLF. Methods:A total of 516 consecutive patients hospitalized for AD of cirrhosis were screened: those who did not present ACLF at admission (410) were enrolled and surveilled for the development of nACLF. Results:Fifty-nine (14%) patients developed nALCF after a median of 7 (IQR 4-18) days. At admission, they presented a more severe disease and higher degrees of systemic inflammation and anemia than those (351; 86%) who remained free from nACLF. Competing risk multivariable regression analysis showed that baseline MELD score (sub-distribution hazard ratio [sHR] 1.15; 95% CI 1.10-1.21; p ?0.001), hemoglobin level (sHR 0.81; 95% CI 0.68-0.96; p = 0.018), and leukocyte count (sHR 1.11; 95% CI 1.06-1.16; p ?0.001) independently predicted nACLF. Their optimal cut-off points, determined by receiver-operating characteristic curve analysis, were: 13 points for MELD score, 9.8 g/dl for hemoglobin, and 5.6x109/L for leukocyte count. These thresholds were used to stratify patients according to the cumulative incidence of nACLF, being 0, 6, 21 and 59% in the presence of 0, 1, 2 or 3 risk factors (p ?0.001). Nosocomial bacterial infections only increased the probability of developing nACLF in patients with at least 1 risk factor, rising from 3% to 29%, 16% to 50% and 52% to 83% in patients with 1, 2 or 3 risk factors, respectively. Conclusions:Easily available laboratory parameters, related to disease severity, systemic inflammation, and anemia, can be used to identify, at admission, hospitalized patients with AD at increased risk of developing nACLF. Lay summary:More than 10% of patients with cirrhosis hospitalized because of an acute decompensation develop acute-on-chronic liver failure, which is associated with high short-term mortality, during their hospital stay. We found that the combination of 3 easily obtainable variables (model for end-stage liver disease score, leukocyte count and hemoglobin level) help to identify and stratify patients according to their risk of developing nosocomial acute-on-chronic liver failure, from nil to 59%. Moreover, if a nosocomial bacterial infection occurs, such an incidence proportionally increases from nil to 83%. This simple approach helps to identify patients at risk of developing nosocomial acute-on-chronic liver failure at admission to hospital, enabling clinicians to put in place preventive measures.

Dataset Information

Acute on Chronic Liver Failure-In-Hospital Predictors of Mortality in ICU.

Aims

Methods

Results

Conclusion

Publications

Acute on Chronic Liver Failure-In-Hospital Predictors of Mortality in ICU.

Similar Datasets

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