首页> 外文期刊>Journal of viral hepatitis. >Predictors of antiviral treatment initiation in hepatitis C virus-infected patients: a Danish cohort study.
【24h】

Predictors of antiviral treatment initiation in hepatitis C virus-infected patients: a Danish cohort study.

机译:丙型肝炎病毒感染患者开始抗病毒治疗的预测因素:丹麦一项队列研究。

获取原文
获取原文并翻译 | 示例
           

摘要

Predictive factors for initiation of antiviral therapy in chronically infected hepatitis C virus (HCV) patients are not fully elucidated. The aim of this study was to determine predictive factors for initiation of treatment with standard or pegylated interferon either alone or combined with ribavirin. A Danish cohort of individuals chronically infected with HCV was used and observation time was calculated from the date of inclusion in the cohort to date of death, last clinical observation, 1 January 2007, or start of HCV antiviral treatment in treatment-naive patients. Kaplan-Meier survival analysis was used to construct time to event curves. Cox regression was used to determine the incidence rate ratios as estimates of relative risk (RR) and 95% confidence intervals (CI). A total of 1780 patients were enrolled in the study. The cumulative chance of treatment initiation over 5 years was 33.0%. We found several strong predictors of treatment initiation: elevated alanine aminotransferase [>2 times upper limit (RR = 2.17, 95% CI 1.64-2.87), >3 times upper limit (RR = 3.64, 95% CI 2.75-4.81)], genotype 2 or 3 (RR = 1.86, 95% CI 1.49-2.31) and HIV co-infection (RR = 0.28, 95% CI 0.15-0.53). To our knowledge, this study is the first to estimate factors predicting initiation of antiviral treatment in patients with chronic HCV infection on a nationwide scale. We found that several of the factors predicting initiation of antiviral treatment correlate with factors known to predict a better response to treatment and factors known to increase the progression of liver disease.
机译:尚未充分阐明在慢性感染的丙型肝炎病毒(HCV)患者中开始抗病毒治疗的预测因素。这项研究的目的是确定单独或与利巴韦林联用标准或聚乙二醇化干扰素开始治疗的预测因素。使用丹麦人群中慢性感染HCV的人群,并计算观察时间,从该人群入组之日起至死亡,最后一次临床观察(2007年1月1日)或未经治疗的HCV抗病毒治疗开始。 Kaplan-Meier生存分析用于构建事件发生时间曲线。使用Cox回归确定发病率比率,以评估相对风险(RR)和95%置信区间(CI)。该研究总共招募了1780名患者。 5年内开始治疗的累积几率是33.0%。我们发现治疗开始的几个重要预测指标:丙氨酸氨基转移酶升高[>上限的2倍(RR = 2.17,95%CI 1.64-2.87),> 3倍的上限(RR = 3.64,95%CI 2.75-4.81),基因型2或3(RR = 1.86,95%CI 1.49-2.31)和HIV合并感染(RR = 0.28,95%CI 0.15-0.53)。据我们所知,这项研究是第一个在全国范围内评估预测慢性HCV感染患者开始抗病毒治疗的因素。我们发现,一些预测抗病毒治疗开始的因素与已知预测对治疗反应更好的因素和已知增加肝病进展的因素相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号