Literature DB >> 33029054

Acute Liver Failure of Non-A-E Viral Hepatitis Etiology-Profile, Prognosis, and Predictors of Outcome.

Subrat K Acharya1, Ramesh Kumar2, Gangadhar Bharath3, Gyanranjan Rout4, Deepak Gunjan4, Baibaswata Nayak4.   

Abstract

BACKGROUND/
OBJECTIVES: Acute liver failure (ALF) is rare and associated with poor outcomes. The outcomes of ALF and predictors of outcome may vary as per the etiology. There are limited data on the predictors of spontaneous survival among patients with ALF of non-A-E hepatitis or cryptogenic etiology. We aimed to assess clinical course, complications, and outcome of non-A-E etiology ALF.
METHODS: In this prospective analysis, all consecutive ALF patients (n = 1555; January 1986-June 2018) were analyzed. Non-A-E-ALF was defined as ALF that could not be attributed to known etiologies such as drugs, viral hepatitis, autoimmune hepatitis, and Wilson's disease. Clinical course, complications, and outcomes of non-A-E-ALF patients who did not undergo liver transplantation were analyzed. Unadjusted and adjusted odds ratios (ORs) were calculated.
RESULTS: Non-A-E-ALF constituted 34.6% (n = 538) of all ALF patients, whereas hepatitis E virus (HEV), hepatitis B virus (HBV), and anti-tuberculosis therapy (ATT) accounted for 29.5% (n = 459), 8.6% (n = 134), and 7.4% (n = 115), respectively. Among non-A-E-ALF patients, mean age was 28.8 ± 12.0 years, 50.9% females, majority (63.1%) had hyperacute presentation, and 79.2% had advanced encephalopathy at presentation. The frequency of cerebral edema in non-A-E-ALF (53.3%) was higher than that in HEV-ALF (41.2%) and ATT-ALF (44.2%), P < 0.001. The survival rate in non-A-E-ALF (37.5%) was poorer than HEV-ALF (54.9%) and was comparable to that in HBV (35.8%) and ATT (29.6%) induced ALF. The baseline prothrombin time prolongation (odds ratio [OR] 1.041; 95% confidence intervals [CI], 1.017-1.065) and infection (OR 2.366; 95%CI, 1.107-5.055) were independent predictors of outcome in non-A-E-ALF. The 3-days acute liver failure early dynamic model had the best value in predicting the outcome.
CONCLUSIONS: Non-A-E-ALF accounts for one-third of all cases of ALF and is associated with poor spontaneous survival.
© 2020 Indian National Association for Study of the Liver. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ALF, acute liver failure; ALFED, acute liver failure early dynamic; ATT, anti-tuberculosis therapy; HAV, hepatitis A virus; HBV, hepatitis B virus; HEV, hepatitis E virus; INR, international normalized ratio; KCH, King’s College Hospital criteria; LT, liver transplant; MELD, model for end-stage liver disease; cerebral edema; cryptogenic; liver transplant; prognosis; viral hepatitis

Year:  2020        PMID: 33029054      PMCID: PMC7527854          DOI: 10.1016/j.jceh.2019.12.008

Source DB:  PubMed          Journal:  J Clin Exp Hepatol        ISSN: 0973-6883


  23 in total

Review 1.  Management in acute liver failure.

Authors:  Subrat K Acharya
Journal:  J Clin Exp Hepatol       Date:  2014-12-03

2.  Lessons from look-back in acute liver failure? A single centre experience of 3300 patients.

Authors:  William Bernal; Anna Hyyrylainen; Amit Gera; Vinod K Audimoolam; Mark J W McPhail; Georg Auzinger; Mohammed Rela; Nigel Heaton; John G O'Grady; Julia Wendon; Roger Williams
Journal:  J Hepatol       Date:  2013-02-22       Impact factor: 25.083

3.  Bacterial and fungal infections in acute-on-chronic liver failure: prevalence, characteristics and impact on prognosis.

Authors:  Javier Fernández; Juan Acevedo; Reiner Wiest; Thierry Gustot; Alex Amoros; Carme Deulofeu; Enric Reverter; Javier Martínez; Faouzi Saliba; Rajiv Jalan; Tania Welzel; Marco Pavesi; María Hernández-Tejero; Pere Ginès; Vicente Arroyo
Journal:  Gut       Date:  2017-08-28       Impact factor: 23.059

4.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

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Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

5.  Predictors of infection in viral-hepatitis related acute liver failure.

Authors:  Saurabh Kedia; Hanish Sharma; Sreejith Vasudevan; Ujjwal Sonika; Ashish Dutt Upadhyaya; Subrat K Acharya
Journal:  Scand J Gastroenterol       Date:  2017-09-06       Impact factor: 2.423

6.  Meta-analysis of performance of Kings's College Hospital Criteria in prediction of outcome in non-paracetamol-induced acute liver failure.

Authors:  Mark J W McPhail; Julia A Wendon; William Bernal
Journal:  J Hepatol       Date:  2010-06-04       Impact factor: 25.083

7.  Fulminant hepatitis in a tropical population: clinical course, cause, and early predictors of outcome.

Authors:  S K Acharya; S Dasarathy; T L Kumer; S Sushma; K S Prasanna; A Tandon; V Sreenivas; S Nijhawan; S K Panda; S K Nanda; M Irshad; Y K Joshi; S Duttagupta; R K Tandon; B N Tandon
Journal:  Hepatology       Date:  1996-06       Impact factor: 17.425

8.  Prospective derivation and validation of early dynamic model for predicting outcome in patients with acute liver failure.

Authors:  Ramesh Kumar; Hanish Sharma; Rohit Goyal; Ajay Kumar; Shankar Khanal; Shyam Prakash; S Datta Gupta; Subrat Kumar Panda; Subrat Kumar Acharya
Journal:  Gut       Date:  2012-02-15       Impact factor: 23.059

9.  Early indicators of prognosis in fulminant hepatic failure.

Authors:  J G O'Grady; G J Alexander; K M Hayllar; R Williams
Journal:  Gastroenterology       Date:  1989-08       Impact factor: 22.682

10.  High-volume plasma exchange in patients with acute liver failure: An open randomised controlled trial.

Authors:  Fin Stolze Larsen; Lars Ebbe Schmidt; Christine Bernsmeier; Allan Rasmussen; Helena Isoniemi; Vishal C Patel; Evangelos Triantafyllou; William Bernal; Georg Auzinger; Debbie Shawcross; Martin Eefsen; Peter Nissen Bjerring; Jens Otto Clemmesen; Krister Hockerstedt; Hans-Jørgen Frederiksen; Bent Adel Hansen; Charalambos G Antoniades; Julia Wendon
Journal:  J Hepatol       Date:  2015-08-29       Impact factor: 25.083

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