作者: Kazuaki Chayama , C. Nelson Hayes , Kentaro Yoshioka , Hisataka Moriwaki , Takashi Okanoue
DOI: 10.1007/S00535-010-0358-6
关键词: Viral load 、 Cart 、 Combination therapy 、 Immunology 、 Logistic regression 、 Hepatitis C 、 Interferon 、 Gastroenterology 、 Ribavirin 、 Internal medicine 、 Hepatology 、 Medicine
摘要: 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 identify those patients who likely respond long-term therapy. We analyzed amino acid (aa) substitutions in the core protein and interferon sensitivity determining region (ISDR) nonstructural (NS) 5A 840 with high viral load. used logistic regression classification tree (CART) analysis for sustained virological response (SVR) undergoing weeks treatment. When were separately treatment duration using multivariate regression, several factors, including sex, age, load, aa70 ISDR (P = 0.0003, P = 0.02, P = 0.01, P = 0.0001, P = 0.0004, respectively) significant SVR 48 treatment, whereas previous history, (P = 0.03, only Using CART analysis, a decision was generated that identified cholesterol, length, as most important factors. The model had 69.2% specificity 60%, positive value 68.4%. Complementary statistical data mining approaches subgroup benefit from