Test characteristics for combining non-invasive liver fibrosis staging modalities in individuals with Hepatitis C virus.

biomarkers elasticity imaging techniques hepatitis C virus liver fibrosis predictive value of tests

Journal

Journal of viral hepatitis
ISSN: 1365-2893
Titre abrégé: J Viral Hepat
Pays: England
ID NLM: 9435672

Informations de publication

Date de publication:
07 Feb 2024
Historique:
revised: 27 12 2023
received: 20 08 2023
accepted: 17 01 2024
medline: 8 2 2024
pubmed: 8 2 2024
entrez: 8 2 2024
Statut: aheadofprint

Résumé

Non-invasive methods have largely replaced biopsy to identify advanced fibrosis in hepatitis C virus (HCV). Guidelines vary regarding testing strategy to balance accuracy, costs and loss to follow-up. Although individual test characteristics are well-described, data comparing the accuracy of using two tests together are limited. We calculated combined test characteristics to determine the utility of combined strategies. This study synthesizes empirical data from fibrosis staging trials and the literature to estimate test characteristics for Fibrosis-4 (FIB4), APRI or a commercial serum panel (FibroSure®), followed by transient elastography (TE) or FibroSure®. We simulated two testing strategies: (1) second test only for those with intermediate first test results (staged approach), and (2) second test for all. We summarized empiric data with multinomial distributions and used this to estimate test characteristics of each strategy on a simulated population of 10,000 individuals with 4.2% cirrhosis prevalence. Negative predictive value (NPV) for cirrhosis from a single test ranged from 98.2% (95% CB 97.6-98.8%) for FIB-4 to 99.4% (95% CB 99.0-99.8%) for TE. Using a staged approach with TE second, sensitivity for cirrhosis rose to 93.3-96.9%, NPV to 99.7-99.8%, while PPV dropped to <32%. Using TE as a second test for all minimally changed estimated test characteristics compared with the staged approach. Combining two non-invasive fibrosis tests barely improves NPV and decreases or does not change PPV compared with a single test, challenging the utility of serial testing modalities. These calculated combined test characteristics can inform best methods to identify advanced fibrosis in various populations.

Identifiants

pubmed: 38326950
doi: 10.1111/jvh.13925
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
Pays : United States
Organisme : NIDA NIH HHS
Pays : United States

Informations de copyright

© 2024 John Wiley & Sons Ltd.

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Auteurs

Rachel L Epstein (RL)

Department of Medicine, Section of Infectious Diseases, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Department of Pediatrics, Section of Infectious Diseases, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.

Benjamin Buzzee (B)

Section of Infectious Diseases, Boston Medical Center, Boston, Massachusetts, USA.

Laura F White (LF)

Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.

Jordan J Feld (JJ)

Toronto Centre for Liver Disease, University Health Network, University of Toronto, Toronto, Ontario, Canada.

Laurent Castera (L)

Department of Hepatology, Beaujon Hospital, Assistance Publique-Hopitaux de Paris, Université Paris Cité, Clichy, France.

Richard K Sterling (RK)

Department of Internal Medicine, Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, Virginia, USA.

Benjamin P Linas (BP)

Department of Medicine, Section of Infectious Diseases, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.

Lynn E Taylor (LE)

College of Pharmacy, University of Rhode Island, Kingston, Rhode Island, USA.

Classifications MeSH