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© Research
Publication : Clinical biochemistry

Optimization and robustness of blood tests for liver fibrosis and cirrhosis

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Clinical biochemistry - 14 Aug 2010

Calès P, Boursier J, Bertrais S, Oberti F, Gallois Y, Fouchard-Hubert I, Dib N, Zarski JP, Rousselet MC,

Link to Pubmed [PMID] – 20713037

Clin. Biochem. 2010 Nov;43(16-17):1315-22

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).

https://www.ncbi.nlm.nih.gov/pubmed/20713037