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首页> 外文期刊>Antiviral therapy >Natural history models for hepatitis C-related liver disease: different disease progression parameters for different settings.
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Natural history models for hepatitis C-related liver disease: different disease progression parameters for different settings.

机译:丙型肝炎相关肝病的自然史模型:针对不同环境的不同疾病进展参数。

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摘要

An understanding of the natural history of hepatitis C virus (HCV) infection has improved in recent years. Estimates of liver disease progression among people with chronic hepatitis C have been developed from various study populations, including liver clinics, post-transfusion hepatitis C cohorts and community-based cohorts. These estimates can be used in hepatitis C natural history models; however, they need to be matched to differing requirements. Estimation and projection of liver disease burden at the population level requires estimates of HCV prevalence and incidence, and disease progression among all people with chronic hepatitis C. Liver disease progression based on community cohorts would appear the most appropriate for a population level model. In contrast, models that examine the cost-effectiveness of antiviral therapy for people with chronic hepatitis C require disease progression estimates from the treatment setting. Further models are required to determine individual prognosis and should be based on an assessment of cofactors for liver disease progression.
机译:近年来,人们对丙型肝炎病毒(HCV)感染自然史的认识有所提高。已从各种研究人群中得出了慢性丙型肝炎患者肝病进展的估计数,包括肝脏诊所,输血后丙型肝炎队列和社区队列。这些估计值可用于丙型肝炎自然史模型;但是,它们需要匹配不同的要求。在人群水平上估计和预测肝脏疾病负担需要在所有慢性丙型肝炎患者中估计HCV患病率和发病率,以及疾病进展。基于人群队列的肝病进展似乎最适合人群水平模型。相比之下,检查抗病毒治疗对慢性丙型肝炎患者的成本效益的模型需要根据治疗背景估算疾病进展。需要进一步的模型来确定个体的预后,并且应该基于对肝病进展的辅助因子的评估。

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