Literature DB >> 26499930

Ability of King's College Criteria and Model for End-Stage Liver Disease Scores to Predict Mortality of Patients With Acute Liver Failure: A Meta-analysis.

Mark J W McPhail1, Hugo Farne2, Naz Senvar3, Julia A Wendon2, William Bernal2.   

Abstract

BACKGROUND & AIMS: Several prognostic factors are used to identify patients with acute liver failure (ALF) who require emergency liver transplantation. We performed a meta-analysis to determine the accuracy of King's College criteria (KCC) versus the model for end-stage liver disease (MELD) scores in predicting hospital mortality among patients with ALF.
METHODS: We performed a systematic search of the literature for articles published from 2001 through 2015 that compared the accuracy of the KCC with MELD scores in predicting hospital mortality in patients with ALF. We identified 23 studies (comprising 2153 patients) and assessed the quality of data, and then performed a meta-analysis of pooled sensitivity and specificity values, diagnostic odds ratios (DORs), and summary receiver operating characteristic curves. Subgroups analyzed included study quality, era, location (Europe vs non-Europe), and size; ALF etiology (acetaminophen-associated ALF [AALF] vs nonassociated [NAALF]); and whether or not the study included patients who underwent liver transplantation and if the study center was also a transplant center.
RESULTS: The DOR for the KCC was 5.3 (95% confidence interval [CI], 3.7-7.6; 57% heterogeneity) and the DOR for MELD score was 7.0 (95% CI, 5.1-9.7; 48% heterogeneity), so the MELD score and KCC are comparable in overall accuracy. The summary area under the receiver operating characteristic curve values was 0.76 for the KCC and 0.78 for MELD scores. The KCC identified patients with AALF who died with 58% sensitivity (95% CI, 51%-65%) and 89% specificity (95% CI, 85%-93%), whereas MELD scores identified patients with AALF who died with 80% sensitivity (95% CI, 74%-86%) and 53% specificity (95% CI, 47%-59%). The KCC predicted hospital mortality in patients with NAALF with 58% sensitivity (95% CI, 54%-63%) and 74% specificity (95% CI, 69%-78%), whereas MELD scores predicted hospital mortality in patients with NAALF with 76% sensitivity (95% CI, 72%-80%) and 73% specificity (95% CI, 69%-78%). In patients with AALF, the KCC's DOR was 10.4 (95% CI, 4.9-22.1) and the MELD score's DOR was 6.6 (95% CI, 2.1-20.2). In patients with NAALF, the KCC's DOR was 4.16 (95% CI, 2.34-7.40) and the MELD score's DOR was 8.42 (95% CI, 5.98-11.88).
CONCLUSIONS: Based on a meta-analysis of studies, the KCC more accurately predicts hospital mortality among patients with AALF, whereas MELD scores more accurately predict mortality among patients with NAALF. However, there is significant heterogeneity among studies and neither system is optimal for all patients. Given the importance of specificity in decision making for listing for emergency liver transplantation, MELD scores should not replace the KCC in predicting hospital mortality of patients with AALF, but could have a role for NAALF.
Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mortality; Prediction; Prognosis; Survival

Mesh:

Year:  2015        PMID: 26499930     DOI: 10.1016/j.cgh.2015.10.007

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


  22 in total

1.  Hepatobiliary Quiz Answers-19 (2016).

Authors:  Sahaj Rathi; Radha K Dhiman
Journal:  J Clin Exp Hepatol       Date:  2016-10-03

2.  Elevated FABP1 serum levels are associated with poorer survival in acetaminophen-induced acute liver failure.

Authors:  Constantine J Karvellas; Jaime L Speiser; Mélanie Tremblay; William M Lee; Christopher F Rose
Journal:  Hepatology       Date:  2017-01-19       Impact factor: 17.425

3.  Proteomic Signature of Acute Liver Failure: From Discovery and Verification in a Pig Model to Confirmation in Humans.

Authors:  Jie Wang; Zeyu Sun; Jing Jiang; Daxian Wu; Xiaoli Liu; Zhongyang Xie; Ermei Chen; Danhua Zhu; Chao Ye; Xiaoqian Zhang; Wenqian Chen; Hongcui Cao; Lanjuan Li
Journal:  Mol Cell Proteomics       Date:  2017-03-23       Impact factor: 5.911

4.  How to manage: acute liver failure.

Authors:  Oliver D Tavabie; William Bernal
Journal:  Frontline Gastroenterol       Date:  2019-04-29

5.  HBV-Associated Acute Liver Failure After Immunosuppression and Risk of Death.

Authors:  Constantine J Karvellas; Filipe S Cardoso; Michelle Gottfried; K Rajender Reddy; A James Hanje; Daniel Ganger; William M Lee
Journal:  Clin Gastroenterol Hepatol       Date:  2016-06-13       Impact factor: 11.382

6.  Outcomes and Predictors of Mortality in Patients With Drug-Induced Liver Injury at a Tertiary Hospital in South India: A Single-Centre Experience.

Authors:  Nanjegowda Sunil Kumar; Bhavith Remalayam; Varghese Thomas; Thazhath M Ramachandran; Kandiyil Sunil Kumar
Journal:  J Clin Exp Hepatol       Date:  2020-08-20

7.  Noninvasive Imaging of Drug-Induced Liver Injury with 18F-DFA PET.

Authors:  Jessica R Salas; Bao Ying Chen; Alicia Wong; Sergio Duarte; Stephanie A K Angarita; Gerald S Lipshutz; Owen N Witte; Peter M Clark
Journal:  J Nucl Med       Date:  2018-03-01       Impact factor: 11.082

8.  Application of the Liver Maximum Function Capacity Test in Acute Liver Failure: A Helpful Tool for Decision-Making in Liver Transplantation?

Authors:  Florian Wolfgang Rudolf Vondran; Carsten Schumacher; Kai Johanning; Björn Hartleben; Wolfgang Knitsch; Olaf Wiesner; Elmar Jaeckel; Michael Peter Manns; Juergen Klempnauer; Hueseyin Bektas; Frank Lehner
Journal:  Case Rep Transplant       Date:  2016-05-04

9.  Epidemiology of Acute Liver Failure from a Regional Liver Transplant Center in Portugal.

Authors:  Carolina Simões; Sara Santos; Madalena Vicente; Filipe Sousa Cardoso
Journal:  GE Port J Gastroenterol       Date:  2018-03-13

10.  Creatinine-lactate score predicts mortality in non-acetaminophen-induced acute liver failure in patients listed for liver transplantation.

Authors:  Estela Regina Ramos Figueira; Joel Avancini Rocha-Filho; Cinthia Lanchotte; Lucas Souto Nacif; Luciana Bertocco de Paiva Haddad; Adriana Rochetto Assalin; Yumi Ricucci Shinkado; Agustin Moscoso Vintimilla; Flavio Henrique Ferreira Galvao; Luiz Augusto Carneiro D'Albuquerque
Journal:  BMC Gastroenterol       Date:  2021-06-07       Impact factor: 3.067

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