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预测基因型 1b 丙型肝炎患者联合治疗 72 周后持续病毒学应答的因素。

Factors predictive of sustained virological response following 72 weeks of combination therapy for genotype 1b hepatitis C.

机构信息

Department of Medical and Molecular Science, Division of Frontier Medical Science, Programs for Biomedical Research, Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.

出版信息

J Gastroenterol. 2011 Apr;46(4):545-55. doi: 10.1007/s00535-010-0358-6. Epub 2011 Jan 19.

Abstract

BACKGROUND

Treatment of genotype 1b chronic hepatitis C virus (HCV) infection has been improved by extending peg-interferon plus ribavirin combination therapy to 72 weeks, but predictive factors are needed to identify those patients who are likely to respond to long-term therapy.

METHODS

We analyzed amino acid (aa) substitutions in the core protein and the interferon sensitivity determining region (ISDR) of nonstructural protein (NS) 5A in 840 genotype 1b chronic hepatitis C patients with high viral load. We used logistic regression and classification and regression tree (CART) analysis to identify predictive factors for sustained virological response (SVR) for patients undergoing 72 weeks of treatment.

RESULTS

When patients were separately analyzed by treatment duration using multivariate logistic regression, several factors, including sex, age, viral load, and core aa70 and ISDR substitutions (P = 0.0003, P = 0.02, P = 0.01, P = 0.0001, and P = 0.0004, respectively) were significant predictive factors for SVR with 48 weeks of treatment, whereas age, previous interferon treatment history, and ISDR substitutions (P = 0.03, P = 0.01, and P = 0.02, respectively) were the only significant predictive factors with 72 weeks of treatment. Using CART analysis, a decision tree was generated that identified age, cholesterol, sex, treatment length, and aa70 and ISDR substitutions as the most important predictive factors. The CART model had a sensitivity of 69.2% and specificity of 60%, with a positive predictive value of 68.4%.

CONCLUSIONS

Complementary statistical and data mining approaches were used to identify a subgroup of patients likely to benefit from 72 weeks of therapy.

摘要

背景

通过将聚乙二醇干扰素加利巴韦林联合治疗延长至 72 周,治疗基因型 1b 慢性丙型肝炎病毒(HCV)感染已得到改善,但需要预测因素来识别那些可能对长期治疗有反应的患者。

方法

我们分析了 840 例高病毒载量的基因型 1b 慢性丙型肝炎患者核心蛋白和非结构蛋白(NS)5A 干扰素敏感决定区(ISDR)中的氨基酸(aa)取代。我们使用逻辑回归和分类回归树(CART)分析来识别接受 72 周治疗的患者持续病毒学应答(SVR)的预测因素。

结果

当患者按治疗持续时间分别进行多变量逻辑回归分析时,包括性别、年龄、病毒载量以及核心 aa70 和 ISDR 取代(P = 0.0003、P = 0.02、P = 0.01、P = 0.0001 和 P = 0.0004)在内的几个因素是具有 48 周治疗的 SVR 的显著预测因素,而年龄、先前干扰素治疗史和 ISDR 取代(P = 0.03、P = 0.01 和 P = 0.02)是唯一具有 72 周治疗的显著预测因素。使用 CART 分析,生成了一个决策树,确定年龄、胆固醇、性别、治疗长度以及 aa70 和 ISDR 取代是最重要的预测因素。CART 模型的灵敏度为 69.2%,特异性为 60%,阳性预测值为 68.4%。

结论

互补的统计和数据挖掘方法用于识别可能从 72 周治疗中获益的患者亚组。

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