1. Clinical Profile, Short-term Prognostic Accuracies of CLIF-C ACLF Score and Serial CLIF-C OF Scores in Acute-onchronic Liver Failure Patients: A Prospective Observational Study.
- Author
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Hareesh, Gunda J. and Ramadoss, Ramu
- Subjects
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SCIENTIFIC observation , *ALCOHOLIC liver diseases , *CIRRHOSIS of the liver , *INFECTION , *SYMPTOMS , *DESCRIPTIVE statistics , *RECEIVER operating characteristic curves , *LIVER failure , *LONGITUDINAL method - Abstract
Background: Acute-on-chronic liver failure (ACLF) is a recently defined entity that carries high short-term mortality. The European Association for Study of Liver (EASL) has given a different definition for ACLF and derived two scores called Chronic Liver Failure-Consortium Organ Failure (CLIF-C OF) and CLIF-C ACLF to diagnose and predict the short-term outcome, respectively. Materials and methods: This was the prospective observational study, included 40 ACLF patients diagnosed as per the EASL definition and calculated CLIF-C ACLF as well as other scores (CTP, MELD, MELD-Na, CLIF-C OF) on admission. Serial CLIF-C OF scores were also calculated (Day 3 and Day 7). The 28-day and 90-day mortality was recorded. Results: Alcohol was the predominant etiology of cirrhosis (32 patients--80%). Infection was the chief precipitating factor in 19 patients (47.5%). The 28-day and 90-day mortality was 45% and 52.5%. Mean (SD) of CLIF-C ACLF scores of survivors and non-survivors on Day-90 were 44.11(6.62) and 53.86 (7.83). The prognostic accuracy of the CLIF-C ACLF score (Area Under Receiver Operating Characteristic Curve--AUROC) to predict 28-day and 90-day mortality was 0.86 and 0.84, respectively. MELD-Na and CLIF-C ACLF scores had higher AUROC for predicting 28-day and 90-day mortality, respectively. The AUROC of the CLIF-C OF score on Day 3 was found to be higher than the values of Day 1 and Day 7, but it was not statistically significant. Conclusion: CLIF-C ACLF has good short-term prognostic accuracy and it is as good as other available scores. Serial CLIF-C OF scores were equally good in predicting in short-term mortality. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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