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Analysis of genotype 1b hepatitis C virus NS5A resistance-associated variants and its related factors / 中华传染病杂志
Chinese Journal of Infectious Diseases ; (12): 730-733, 2017.
Article in Chinese | WPRIM | ID: wpr-707206
ABSTRACT
Objective To analyze hepatitis C virus genotype(HCV GT)1b NS5A resistance-associated variants(RAV)and its related factors,and to provide references for direct-acting antivirals (DAA)agent selection and application.Methods From January 2017 to July 2017,53 hepatitis C patients were selected from the Department of Infectious Diseases of Henan Province People's Hospital. The mutations of L31M and Y93H in NS5A RAV were analyzed in 43 HCV GT1b patients,and their correlations with hepatitis C virus,liver function,platelet and liver fibrosis diagnostic model[APRI, gamma-glutamyl transpeptidase to platelet ratio(GPR),FIb-4]were analyzed.The quantitative data were compared by two independent samples t test,and the qualitative data were compared by chi square test. Results Fifty-three subjects were enrolled,including 43 GT1b(9 males and 34 females)and 10 GT2a(2 males and 8 females).No other genotype was detected.The incidence of NS5A RAV in 43 HCV GT1b patients was 13.9%(6/43),of which L31M and Y93H were 1/43(2.3%)and 5/43(11.6%)with no significant difference(χ2= 1.500,P= 0.219).There were no significant differences in HCV RNA, ALT,AST,albumin,platelets and age between patients with or without mutation(all P> 0.05). Conclusions The incidence of NS5A RAV in HCV GT1b patients is high,but not affected by virus, biochemical factors and liver fibrosis.The detection of NS5A RAV before HCV treatment is helpful for rational selection of DAA,which could reduce the drug resistance.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Qualitative research Language: Chinese Journal: Chinese Journal of Infectious Diseases Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Qualitative research Language: Chinese Journal: Chinese Journal of Infectious Diseases Year: 2017 Type: Article