Age and total ribavirin dose are independent predictors of relapse after interferon therapy in chronic hepatitis C revealed by data mining analysis
Age and total ribavirin dose are independent predictors of relapse after interferon therapy in chronic hepatitis C revealed by data mining analysis
复制标题
DOI：
10.3851/imp1923
复制
发表时间：
2012-01-01
影响因子：
1.2
通讯作者：
Izumi, Namiki
中科院分区：
文献类型：
--
作者：
Kurosaki, Masayuki;Hiramatsu, Naoki;Izumi, Namiki
背景资料：本研究旨在确定与慢性丙型肝炎患者对聚乙二醇干扰素（PEG-IFN）加利巴韦林（RBV）治疗的应答者复发相关的因素。一组基因型1b的慢性丙型肝炎患者接受PEG-IFN联合RBV治疗，并且在第12周时检测不到HCV RNA（n = 951），随机分配到模型推导组（n = 636）或内部验证组（n = 100）。315）组。使用独立队列（n = 598）进行外部验证。复发的决策树模型进行了探讨，使用数据挖掘analysis.Results：数据挖掘分析定义了5个亚组的患者的复发率从13%到52%不等。通过内部和外部验证证实了该模型的重现性（r（2）分别= 0.79和0.83）。在第4周时检测不到HCV RNA的患者复发风险最低（13%），其次是RBV ≥ 3.0 g/kg体重的患者（16%）。接受总RBV剂量的老年患者
Background: This study aimed to define factors associated with relapse among responders to pegylated interferon (PEG-IFN) plus ribavirin (RBV) therapy in chronic hepatitis C.Methods: A cohort of genotype 1b chronic hepatitis C patients treated with PEG-IFN plus RBV and who had an undetectable HCV RNA by week 12 (n = 951) were randomly assigned to model derivation (n = 636) or internal validation (n = 315) groups. An independent cohort (n = 598) were used for an external validation. A decision tree model for relapse was explored using data mining analysis.Results: The data mining analysis defined five subgroups of patients with variable rates of relapse ranging from 13% to 52%. The reproducibility of the model was confirmed by internal and external validations (r(2) = 0.79and 0.83, respectively). Patients with undetectable HCV RNA at week 4 had the lowest risk of relapse (13%), followed by patients = 3.0 g/kg of body weight of RBV (16%). Older patients with a total RBV dose