Platelet count is associated with sustained virological response rates in treatments for chronic hepatitis C.

Clicks: 246
ID: 90294
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
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.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.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).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.
Reference Key
jun2019plateletthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jun, Baek Gyu;Park, Eui Ju;Lee, Woong Cheul;Jang, Jae Young;Jeong, Soung Won;Kim, Young Don;Cheon, Gab Jin;Cho, Young Sin;Lee, Sae Hwan;Kim, Hong Soo;Lee, Yun Nah;Kim, Sang Gyune;Kim, Young Seok;Kim, Boo Sung;
Journal the korean journal of internal medicine
Year 2019
DOI
10.3904/kjim.2017.322
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.