我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • 打开 J 门
  • Genamics 期刊搜索
  • 中国知网(CNKI)
  • 电子期刊图书馆
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

Predicting Therapeutic Results of Interferon Based Treatment by Modeling the First Week Viral Kinetics in Patients with Chronic Hepatitis C

Chun-Hsiang Wang, Ruey-Chang Lin, Lein-Ray Mo, Kuo-Kuan Chang, Jen-Juan Kuo

Background: The present study aimed to develop an optimal model predictive of the treatment response one week after initiating antiviral therapy.

Patients and Methods: In all, 166 patients completed the treatment and were followed up for six months.

Results: A viral response was achieved in 14 (8.4%) genotype 1 (G1) and 32 (19.3%) non-genotype 1 (G0) patients at week one after initiation of therapy and 45 (27.1%) G1 and 90 (54.2%) G0 patients at week four. A sustained viral response (SVR) was achieved in 50 (30.1%) G1 and 83 (50.0%) G0 patients, in 13 (29.5%) G1 and 31 (70.5%) G0 patients whose antiviral response was achieved at one week, and in 37 G1 (32.2%) and 78 G0 (67.8%) patients whose antiviral response was achieved at four weeks. The HCV viral kinetic parameter π (i.e., 1: α, α was defined as the area under the line y [viral load]=– a[x{time}] between week 0 and week 1) was found to be the best performing test for predicting SVR (p<0.0001). Regression analysis identified π as the only independent predictor of SVR (p=0.043).

Conclusions: The use of bio-mathematical models of HCV kinetics can reliably predict SVR one week after starting therapy.