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VOLUME 2 , ISSUE 2 ( April-June, 2020 ) > List of Articles

Original Article

Identification of Factors Predicting Mortality in Dengue Infection Associated Liver Failure

Sharat Varma, Megha Consul, Shyam Kukreja, Bhaskar Saikia, Rajiv Uttam, Dibyajyoti Das, Naveen Bhatia, Subhash Gupta

Keywords : dengue infection, dengue hemorrhagic fever, atypical manifestations of dengue fever, hepatic failure in dengue

Citation Information : Varma S, Consul M, Kukreja S, Saikia B, Uttam R, Das D, Bhatia N, Gupta S. Identification of Factors Predicting Mortality in Dengue Infection Associated Liver Failure. Ann Pediatr Gastroenterol Hepatol 2020; 2 (2):26-29.

DOI: 10.5005/jp-journals-11009-0055

License: CC BY-NC 4.0

Published Online: 06-07-2022

Copyright Statement:  Copyright © 2020; The Author(s).


Objectives: To identify factors predicting mortality in acute liver failure due to Dengue infection Methods: Retrospective analysis was done to identify factors predicting mortality among children having acute liver failure (ALF) due to Dengue infection. admitted Children in Max Hospital PICU's between May 2017 and May 2019 ALF was diagnosed by PALF criteria; Dengue infection was diagnosed if NS-1 Antigen and/or IgM Dengue antibody were positive. Other causes of ALF were ruled out and all received standard of care treatment for ALF. The highest value of ammonia, urea, creatinine, AST, ALT, bilirubin, PT and apTT during the illness and lowest value of haemoglobin, leucocyte count, platelet, albumin, during the course of the illness were recorded. For continuous variables, mean was calculated and student T test was used to compare. Binary logistic regression was used and AUROC was calculated to determine cut off values and compare the utility of various parameters for the same. Results: 15 children (8 boys) with mean age of 106 months were included. 8 of 15 had poor outcome (53% mortality). There was significant difference in ammonia, AST, ALT, aPTT levels between the survivors and non-survivors. Cut off values predicting mortality with sensitivity of 88% and specificity of 86% were increase of AST, ALT aPTT by 1750, 1011 IU/L and 53 seconds respectively; on a daily basis. Kings college criteria in poor outcome had sensitivity of 100% but poor specificity of 55.6%. Conclusion: Rate of increase of AST, ALT, aPTT with appropriate cut off values can predict the outcome of Dengue induced ALF better than Kings College criteria.

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