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Clinical Profile and Prognostic Markers of Acute on Chronic Liver Failure (ACLF): A Single-center Experience from East India
The aim of the study was to study the clinical profile of acute on chronic liver failure (ACLF) and establish Cell-free DNA (Cf DNA) as a predictor of the outcome of ACLF. In this prospective study, those patients who fulfilled EASL criteria were included. Cf DNA was estimated in 30 patients and com...
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Published in: | Journal of clinical and experimental hepatology 2023-11, Vol.13 (6), p.1017-1024 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
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Online Access: | Get full text |
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Summary: | The aim of the study was to study the clinical profile of acute on chronic liver failure (ACLF) and establish Cell-free DNA (Cf DNA) as a predictor of the outcome of ACLF.
In this prospective study, those patients who fulfilled EASL criteria were included. Cf DNA was estimated in 30 patients and compared with the CLIF-C ACLF score.
The median age of 132 consecutive ACLF patients was 40 years. The most common acute insult were sepsis (30.3%) and alcohol (22%). While alcohol (35.6%) and chronic HBV (14.3%) were the most common etiologies of cirrhosis. The overall mortality was 45.5% and 71.2% at 28 days and 90 days, respectively. Multiple regression analysis using the Cox proportional hazard model showed that heart rate (HR 1.06, 95% CI 1.04–1.08 P = 0.001), lung failure (HR 2.82, 95% CI 1.24–6.44, P = 0.02), and cell-free DNA (HR 2.70, 95% CI 1.17–6.24, P = 0.02) were independent predictors of mortality When Cf DNA was used to predict 28-day mortality, Cf DNA was found to have a higher AUC (AUROC 0.84, 95% CI 0.70-0.98, P = 0.001) than the CLIF-C-ACLF score (AUROC 0.81, 95% 0.66–0.97, P = 0.003). However, when 90-day mortality was compared, CLIF-C-ACLF score had a higher area under the curve (AUROC 0.93, 95% CI 0.83–1.00, P = 0.0001) than Cf DNA (AUROC 0.89, 95% CI 0.77–1.00, P = 0.0001).
Alcohol and sepsis remain the most common causes of acute insult. Cf DNA is a better predictor of 28-day mortality, whereas CLIF-C ACLF is more accurate to predict 90-day mortality. |
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ISSN: | 0973-6883 2213-3453 |
DOI: | 10.1016/j.jceh.2023.06.010 |