期刊
MEDICAL DECISION MAKING
卷 24, 期 1, 页码 20-29出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0272989X03261568
关键词
hepatitis C; Markov model; decision making
Objective. To develop a natural history model for chronic hepatitis C virus (HCV) infection to determine allocation of compensatory funds to Canadians who acquired HCV through the blood supply from 1986 through 1990. Methods. A Markov cohort simulation model for HCV prognosis was developed, using content experts, published data, posttransfusion look-back data, and a national survey. Results. The mortality Fate in transfusees is high (46% at 10 years), although HCV-related deaths are rare. Only 14% develop cirrhosis at 20 years (95% confidence interval, 0%-44%), but 1 in 4 will eventually develop cirrhosis, and 1 in 8 will die of liver disease. Conclusions. This unique application of Markov cohort simulation and epidemiologic methods provides a state-of-the-art estimate of HCV prognosis and has allowed compensation decisions to be based on the best available evidence.
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