Assessing the prognostic scores for the prediction of the mortality of patients with acute-on-chronic liver failure: a retrospective study.
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ABSTRACT: Background:Acute-on-chronic liver failure (ACLF), which is characterized by rapid deterioration of liver function and multiorgan failure, has high mortality. This study was designed to identify prognostic scores to predict short-term and long-term outcome in patients with ACLF to facilitate early treatment and thereby improve patient survival. Materials and Methods:We retrospectively analyzed 102 ACLF patients who were hospitalized in the gastroenterology department. The EASL-CLIF criteria were used to define the ACLF. The demographic characteristics and biochemical examination results of the patients were acquired, and seven scores (CTP score, MELD score, MELD-Na, CLIF ACLF score, CLIF-C OF score, and CLIF SOFA score) were calculated 24 h after admission. All patients were observed until loss to follow-up, death, or specific follow-up times (28 days, 3 months, and 6 months), which were calculated after the initial hospital admission. The receiver operating characteristic (ROC) curve was employed to estimate the power of six scores to forecast ACLF patients' outcome. Results:All scores were distinctly higher in nonsurviving patients than in surviving patients and had predictive value for outcome in patients with ACLF at all time points (P < 0.050). The areas under the ROC curve (AUROCs) of the CLIF-SOFA score were higher than those of other scores at all time points. The comparison of the AUROC of the CLIF-SOFA score with other scores was statistically significant at 28 days (P < 0.050), which was the only time point at which it was greater than 0.800. Conclusion:Patients with ACLF have high mortality. These six scores are effective tools for assessing the prognosis of ACLF patients. The CLIF-SOFA score is especially effective for evaluating 28-day mortality.
SUBMITTER: Zhang Y
PROVIDER: S-EPMC7500347 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
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