Cost-effectiveness of nehanced liver fibrosis test to assess liver fibrosis in chronic hepatitis C virus and alcoholic liver disease patients

Data de publicació

2018-05-11T13:27:24Z

2018-05-11T13:27:24Z

2017-05-07

2018-05-11T13:27:24Z

Resum

AIM: To assess liver fibrosis (LF) in hepatitis C virus (HCV) and alcoholic liver disease (ALD), estimate health outcomes and costs of new noninvasive testing strategies. METHODS: A Markov model was developed to simulate LF progression in HCV and ALD for a cohort of 40-year-old men with abnormal levels of transaminases. Three different testing alternatives were studied: a single liver biopsy; annual Enhanced liver fibrosis (ELF ) followed by liver stiffness measurement (LSM) imaging as a confirmation test if the ELF test is positive; and annual ELF test without LSM. The analysis was performed from the perspective of a university hospital in Spain. Clinical data were obtained from published literature. Costs were sourced from administrative databases of the hospital. Deterministic and probabilistic sensitivity analyses were performed RESULTS: In HCV patients, annual sequential ELF test/LSM and annual ELF test alone prevented respectively 12.9 and 13.3 liver fibrosis-related deaths per 100 persons tested, compared to biopsy. The incremental cost-effectiveness ratios (ICERs) were respectively 13400 and 11500 per quality-adjusted life year (QALY). In ALD, fibrosis-related deaths decreased by 11.7 and 22.1 per 100 persons tested respectively with sequential ELF test/LSM and annual ELF test alone. ICERs were 280 and 190 per QALY, respectively. CONCLUSION: The use of the ELF test with or without a confirmation LSM are cost-effective options compared to a single liver biopsy for testing liver fibrosis in HCV and ALD patients in Spain.

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Article


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Anglès

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Baishideng Publishing Group

Documents relacionats

Reproducció del document publicat a: https://doi.org/10.3748/wjg.v23.i17.3163

World Journal of Gastroenterology, 2017, vol. 23, num. 17, p. 3163-3173

https://doi.org/10.3748/wjg.v23.i17.3163

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cc-by-nc (c) Soto, Marcelo et al., 2017

http://creativecommons.org/licenses/by-nc/3.0/es

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