title: Different viral kinetics between hepatitis C virus genotype 1 and 2 as on-treatment predictors of response to a 24-week course of high-dose interferon-alpha plus ribavirin combination therapy.
abstract: To elucidate the genotype-specific virus-host-drug interaction and the on-treatment viral kinetics in predicting sustained virologic response (SVR), serial serum hepatitis C virus (HCV) ribonucleic acid (RNA) levels at baseline, treatment week 2 (W2), treatment week 4 (W4), and treatment week 12 (W12) were measured in 199 chronic HCV-infected Taiwanese patients receiving interferon-alpha (INF-alpha) 6 million units (MU) three times weekly plus 1000 to 1200 mg/day of ribavirin for 24 weeks. The SVR rate was 90.5% (95/105) for HCV genotype 2 (HCV-2) patients and 47.9% (45/94) for HCV-1 patients (P < 0.0001). HCV-2 patients had a significantly higher rate of rapid virologic response (RVR) at W2 than HCV-1 patients. HCV RNA negativity at W4 had the highest accuracy of prediction (80%) of SVR with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 81%, 79%, 78%, and 82%, respectively, for HCV-1 patients. HCV RNA negativity or 2 logs drop at W4 had the highest accuracy of prediction (92%) with sensitivity, specificity, PPV, and NPV of 100%, 20%, 92%, and 100%, respectively, for HCV-2 patients. In multivariate analysis, the significant factors associated with SVR in HCV-1 patients were HCV RNA negativity at W12 and W4. HCV RNA negativity or 2 logs drop was the only significant factor associated with SVR in HCV-2 patients. In conclusion, a RVR at W4 could predict an SVR with a high degree of accuracy to a 24-week course of high-dose IFN/ribavirin for both HCV-1 patients and HCV-2 patients. With respect to each HCV genotype, the on-treatment virologic responses are the most important factors associated with SVR.
authors.affiliation: Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
authors.forename: Ming-Lung
authors.initials: ML
authors.lastname: Yu
authors.forename: Wan-Long
authors.initials: WL
authors.lastname: Chuang
authors.forename: Chia-Yen
authors.initials: CY
authors.lastname: Dai
authors.forename: Li-Po
authors.initials: LP
authors.lastname: Lee
authors.forename: Ming-Yen
authors.initials: MY
authors.lastname: Hsieh
authors.forename: Zu-Yau
authors.initials: ZY
authors.lastname: Lin
authors.forename: Shinn-Cherng
authors.initials: SC
authors.lastname: Chen
authors.forename: Ming-Yuh
authors.initials: MY
authors.lastname: Hsieh
authors.forename: Liang-Yen
authors.initials: LY
authors.lastname: Wang
authors.forename: Wen-Yu
authors.initials: WY
authors.lastname: Chang
authors.forename: Sun-Lung
authors.initials: SL
authors.lastname: Tsai
authors.forename: Hsing-Tao
authors.initials: HT
authors.lastname: Kuo
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000998:Antiviral Agents / Q000627:therapeutic use*; D004305:Dose-Response Relationship, Drug; D004359:Drug Therapy, Combination; D005260:Female; D005838:Genotype; D016174:Hepacivirus / Q000145:classification / Q000187:drug effects / Q000235:genetics; D019698:Hepatitis C, Chronic / Q000188:drug therapy* / Q000473:pathology / Q000821:virology; D006801:Humans; D016898:Interferon-alpha / Q000627:therapeutic use*; D007700:Kinetics; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012367:RNA, Viral / Q000032:analysis; D012254:Ribavirin / Q000627:therapeutic use*; D016896:Treatment Outcome; D019562:Viral Load
chemical_list: D000998:Antiviral Agents; D016898:Interferon-alpha; D012367:RNA, Viral; D012254:Ribavirin