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Updated: Feb 13, 2026

Procoagulant Platelet Characterization by Measuring Phosphatidylserine Exposure and Microvesicle Release from Human Purified Platelets
Published on: November 29, 2024
Platelet count is associated with sustained virological response rates in treatments for chronic hepatitis C
Baek Gyu Jun1, Eui Ju Park2, Woong Cheul Lee2
1Department of Internal Medicine, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
Background/Aims:
This study was conducted to clarify the sustained virological response (SVR) prediction ability of baseline and treatment-related factors in patients with chronic hepatitis C virus (HCV) infection.
Methods:
This retrospective study collected data at four tertiary referral hospitals between June 2004 and July 2012. Out of 476 patients, 330 treatment-naïve patients with chronic HCV infection were recruited. Pegylated interferon α-2a/- 2b plus ribavirin was administered for either 24 or 48 weeks depending on the HCV genotype. The baseline and treatment-related predictive factors of SVR were evaluated by analyzing data measured before treatment (i.e., baseline) and during treatment.
Results:
SVR rates for genotypes 1 and 2 were 63% (97/154) and 79.5% (140/176), respectively (p = 0.001). Multivariate analysis for baseline factors revealed that young age (p = 0.009), genotype 2 (p = 0.001), HCV RNA level of < 800,000 IU/mL (p < 0.001), and a baseline platelet count of > 150 × 103 /µL (p < 0.001) were significant SVR predictors, regardless of the genotype. In particular, predictive accuracy for achievement of SVR was 87.3% for a baseline platelet count of > 150 × 103 /µL. In multivariate analysis for treatment-related factors, SVR was associated with achievement of a rapid virological response (RVR; p < 0.001), treatment adherence of ≥ 80/80/80 (p < 0.001).
Conclusion:
Young age, genotype 2, low HCV RNA level, RVR, and treatment adherence were significantly associated with SVR. In addition, platelet count was an independent predictive factor for SVR. Therefore, platelet count could be used to develop individualized treatment regimens and to optimize treatment outcomes in patients with chronic HCV infection.
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