1. Test characteristics for combining non‐invasive liver fibrosis staging modalities in individuals with Hepatitis C virus.
- Author
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Epstein, Rachel L., Buzzee, Benjamin, White, Laura F., Feld, Jordan J., Castera, Laurent, Sterling, Richard K., Linas, Benjamin P., and Taylor, Lynn E.
- Subjects
HEPATIC fibrosis ,HEPATITIS C virus ,EQUILIBRIUM testing ,MULTINOMIAL distribution - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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