OBJECTIVES: To optimize the performance and feasibility of fibrosis blood tests and evaluate their robustness. DESIGN AND METHODS: The derivation population included 1056 HCV patients with liver biopsy and blood markers. Validation populations included 984 patients with various viral hepatitis causes, and Fibroscan and/or liver biopsy and/or blood markers. RESULTS: The bootstrap method validated the markers of the original FibroMeter(2G), but not those of Fibrotest and Hepascore, and provided a hyaluronate-free FibroMeter(3G). AUROCs for significant fibrosis were: FibroMeter(2G): 0.853 vs. FibroMeter(3G): 0.851, p=0.489. Compared to FibroMeter(2G), FibroMeter(3G) had a significantly higher patient rate with predictive values ≥90% for significant fibrosis. Accuracy for fibrosis stage classification was: Fibrotest: 37.9%, FibroMeter(2G): 74.9%, and FibroMeter(3G): 86.9% (p<10(-3)). CONCLUSION: The bootstrap method validated FibroMeter(2G) and provided a cheaper and more feasible hyaluronate-free FibroMeter(3G) with comparable performance. Compared to binary diagnosis, fibrosis stage classification increased discrimination, with an increased accuracy to 87% for FibroMeter(3G).
OBJECTIVES: To optimize the performance and feasibility of fibrosis blood tests and evaluate their robustness. DESIGN AND METHODS: The derivation population included 1056 HCV patients with liver biopsy and blood markers. Validation populations included 984 patients with various viral hepatitis causes, and Fibroscan and/or liver biopsy and/or blood markers. RESULTS: The bootstrap method validated the markers of the original FibroMeter(2G), but not those of Fibrotest and Hepascore, and provided a hyaluronate-free FibroMeter(3G). AUROCs for significant fibrosis were: FibroMeter(2G): 0.853 vs. FibroMeter(3G): 0.851, p=0.489. Compared to FibroMeter(2G), FibroMeter(3G) had a significantly higher patient rate with predictive values ≥90% for significant fibrosis. Accuracy for fibrosis stage classification was: Fibrotest: 37.9%, FibroMeter(2G): 74.9%, and FibroMeter(3G): 86.9% (p<10(-3)). CONCLUSION: The bootstrap method validated FibroMeter(2G) and provided a cheaper and more feasible hyaluronate-free FibroMeter(3G) with comparable performance. Compared to binary diagnosis, fibrosis stage classification increased discrimination, with an increased accuracy to 87% for FibroMeter(3G).
Authors: Katharina Staufer; Emina Halilbasic; Walter Spindelboeck; Magdalena Eilenberg; Gerhard Prager; Vanessa Stadlbauer; Andreas Posch; Petra Munda; Rodrig Marculescu; Barbara Obermayer-Pietsch; Judith Stift; Carolin Lackner; Michael Trauner; Rudolf E Stauber Journal: United European Gastroenterol J Date: 2019-07-12 Impact factor: 4.623
Authors: Sim Yee Ong; Lara Dolling; Jeannette L Dixon; Amanda J Nicoll; Lyle C Gurrin; Michelle Wolthuizen; Erica M Wood; Greg J Anderson; Grant A Ramm; Katrina J Allen; John K Olynyk; Darrell Crawford; Jennifer Kava; Louise E Ramm; Paul Gow; Simon Durrant; Lawrie W Powell; Martin B Delatycki Journal: BMJ Open Date: 2015-08-12 Impact factor: 2.692