Literature DB >> 24815676

Reliable prediction of clinical outcome in patients with chronic HCV infection and compensated advanced hepatic fibrosis: a validated model using objective and readily available clinical parameters.

Adriaan J van der Meer1, Bettina E Hansen1, Giovanna Fattovich2, Jordan J Feld3, Heiner Wedemeyer4, Jean-François Dufour5, Frank Lammert6, Andres Duarte-Rojo3, Michael P Manns4, Donatella Ieluzzi7, Stefan Zeuzem8, W Peter Hofmann8, Robert J de Knegt1, Bart J Veldt1, Harry L A Janssen9.   

Abstract

OBJECTIVE: Reliable tools to predict long-term outcome among patients with well compensated advanced liver disease due to chronic HCV infection are lacking.
DESIGN: Risk scores for mortality and for cirrhosis-related complications were constructed with Cox regression analysis in a derivation cohort and evaluated in a validation cohort, both including patients with chronic HCV infection and advanced fibrosis.
RESULTS: In the derivation cohort, 100/405 patients died during a median 8.1 (IQR 5.7-11.1) years of follow-up. Multivariate Cox analyses showed age (HR=1.06, 95% CI 1.04 to 1.09, p<0.001), male sex (HR=1.91, 95% CI 1.10 to 3.29, p=0.021), platelet count (HR=0.91, 95% CI 0.87 to 0.95, p<0.001) and log10 aspartate aminotransferase/alanine aminotransferase ratio (HR=1.30, 95% CI 1.12 to 1.51, p=0.001) were independently associated with mortality (C statistic=0.78, 95% CI 0.72 to 0.83). In the validation cohort, 58/296 patients with cirrhosis died during a median of 6.6 (IQR 4.4-9.0) years. Among patients with estimated 5-year mortality risks <5%, 5-10% and >10%, the observed 5-year mortality rates in the derivation cohort and validation cohort were 0.9% (95% CI 0.0 to 2.7) and 2.6% (95% CI 0.0 to 6.1), 8.1% (95% CI 1.8 to 14.4) and 8.0% (95% CI 1.3 to 14.7), 21.8% (95% CI 13.2 to 30.4) and 20.9% (95% CI 13.6 to 28.1), respectively (C statistic in validation cohort = 0.76, 95% CI 0.69 to 0.83). The risk score for cirrhosis-related complications also incorporated HCV genotype (C statistic = 0.80, 95% CI 0.76 to 0.83 in the derivation cohort; and 0.74, 95% CI 0.68 to 0.79 in the validation cohort).
CONCLUSIONS: Prognosis of patients with chronic HCV infection and compensated advanced liver disease can be accurately assessed with risk scores including readily available objective clinical parameters. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  CIRRHOSIS; HEPATITIS C

Mesh:

Year:  2014        PMID: 24815676     DOI: 10.1136/gutjnl-2013-305357

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


  11 in total

1.  A genomic and clinical prognostic index for hepatitis C-related early-stage cirrhosis that predicts clinical deterioration.

Authors:  Lindsay Y King; Claudia Canasto-Chibuque; Kara B Johnson; Shun Yip; Xintong Chen; Kensuke Kojima; Manjeet Deshmukh; Anu Venkatesh; Poh Seng Tan; Xiaochen Sun; Augusto Villanueva; Angelo Sangiovanni; Venugopalan Nair; Milind Mahajan; Masahiro Kobayashi; Hiromitsu Kumada; Massimo Iavarone; Massimo Colombo; Maria Isabel Fiel; Scott L Friedman; Josep M Llovet; Raymond T Chung; Yujin Hoshida
Journal:  Gut       Date:  2014-08-20       Impact factor: 23.059

2.  Value of Sustained Virologic Response in Patients with Hepatitis C as a Function of Time to Progression of End-Stage Liver Disease.

Authors:  Thomas Ward; Jason Gordon; Beverley Jones; Hayley Bennett; Samantha Webster; Anupama Kalsekar; Yong Yuan; Michael Brenner; Phil McEwan
Journal:  Clin Drug Investig       Date:  2017-01       Impact factor: 2.859

3.  Effectiveness and Safety of Sofosbuvir-Based Regimens for Chronic HCV Genotype 3 Infection: Results of the HCV-TARGET Study.

Authors:  Jordan J Feld; Raoel Maan; Stefan Zeuzem; Alexander Kuo; David R Nelson; Adrian M Di Bisceglie; Michael P Manns; Ken Sherman; Lynn M Frazier; Richard Sterling; Mark Mailliard; Monica Schmidt; Lucy Akushevich; Monika Vainorius; Michael W Fried
Journal:  Clin Infect Dis       Date:  2016-06-19       Impact factor: 9.079

Review 4.  Molecular prognostic prediction in liver cirrhosis.

Authors:  Nicolas Goossens; Shigeki Nakagawa; Yujin Hoshida
Journal:  World J Gastroenterol       Date:  2015-09-28       Impact factor: 5.742

Review 5.  Hepatitis C virus: A time for decisions. Who should be treated and when?

Authors:  Bashar M Attar; David H Van Thiel
Journal:  World J Gastrointest Pharmacol Ther       Date:  2016-02-06

6.  Computed Tomography-Measured Liver Volume Predicts the Risk of Hepatocellular Carcinoma Development in Chronic Hepatitis C Patients.

Authors:  Namkyu Kang; Jung Wha Chung; Eun Sun Jang; Sook-Hyang Jeong; Jin-Wook Kim
Journal:  Dig Dis Sci       Date:  2021-02-25       Impact factor: 3.199

Review 7.  Cost-effectiveness of noninvasive liver fibrosis tests for treatment decisions in patients with chronic hepatitis C.

Authors:  Emmanuel A Tsochatzis; Catriona Crossan; Louise Longworth; Kurinchi Gurusamy; Manolo Rodriguez-Peralvarez; Konstantinos Mantzoukis; Julia O'Brien; Evangelos Thalassinos; Vassilios Papastergiou; Anna Noel-Storr; Brian Davidson; Andrew K Burroughs
Journal:  Hepatology       Date:  2014-07-29       Impact factor: 17.425

8.  Sustained virological response halts fibrosis progression: A long-term follow-up study of people with chronic hepatitis C infection.

Authors:  Swee Lin G Chen Yi Mei; Alexander J Thompson; Britt Christensen; Georgina Cunningham; Lucy McDonald; Sally Bell; David Iser; Tin Nguyen; Paul V Desmond
Journal:  PLoS One       Date:  2017-10-24       Impact factor: 3.240

9.  Assessment of the Probability of Post-thrombotic Syndrome in Patients with Lower Extremity Deep Venous Thrombosis.

Authors:  Hao Huang; Jian-Ping Gu; Hao-Fan Shi; Wan-Yin Shi; Jing-Yuan Lu; Liang Chen; Hao-Bo Su
Journal:  Sci Rep       Date:  2018-08-23       Impact factor: 4.379

10.  Dynamically remodeled hepatic extracellular matrix predicts prognosis of early-stage cirrhosis.

Authors:  Yuexin Wu; Yuyan Cao; Keren Xu; Yue Zhu; Yuemei Qiao; Yanjun Wu; Jianfeng Chen; Chen Li; Rong Zeng; Gaoxiang Ge
Journal:  Cell Death Dis       Date:  2021-02-08       Impact factor: 8.469

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