Patil Satish Ramchandrra, Datkhile Kailash D, Ghorpade M V, Patil Supriya Satish, Kakade Satish V
Department of Microbiology, Krishna Institute of Medical Sciences, Karad, Maharashtra, India.
Department of Molecular Biology and Genetics, Krishna Institute of Medical Sciences, Karad, Maharashtra, India.
Indian J Med Microbiol. 2017 Oct-Dec;35(4):563-567. doi: 10.4103/ijmm.IJMM_16_96.
Hepatitis C is global health problem affecting a significant portion of the world's population. Available data in Western Maharashtra on seroprevalence, risk factors and genotype distribution are very limited.
The present study was carried out to estimate the seroprevalence, factors influencing transmission and distribution of genotype of hepatitis C virus (HCV) in a hospital-based population.
This was a cross-sectional, hospital-based study. A total of 25193 serum samples were tested for HCV and HBV infection. All samples from HCV antibody-positive patients were subjected for HCV RNA detection and genotype. Chi-square, unpaired t-test, logistic regression analysis was used for statistical analysis.
The seroprevalence for anti-HCV-Ab was 0.46%. Backward multivariate logistic regression analysis revealed increasing age; alcoholic, blood transfusion and dialysis were significant risk factors. Of 116 patients with HCV, 8 (6.89%) patients had HCV-HBV co-infection. The most common genotype (61.90%) was 3 followed by Genotype 1 (38.09%).
In the present study, significant risk factors were a history of blood transfusion, habit of alcohol, dialysis. The prevention of HCV infection can be achieved by screening of blood and blood products and creating awareness about risk factors. Since the efficacy of current and new therapies differ by genotype, genotype study is essential.
丙型肝炎是一个全球性的健康问题,影响着世界上相当一部分人口。西马哈拉施特拉邦关于血清流行率、危险因素和基因型分布的现有数据非常有限。
本研究旨在估计一家医院人群中丙型肝炎病毒(HCV)的血清流行率、影响传播的因素以及基因型分布。
这是一项基于医院的横断面研究。共检测了25193份血清样本中的HCV和HBV感染情况。对所有HCV抗体阳性患者的样本进行HCV RNA检测和基因分型。采用卡方检验、非配对t检验、逻辑回归分析进行统计分析。
抗-HCV-Ab的血清流行率为0.46%。向后多变量逻辑回归分析显示,年龄增长;酗酒、输血和透析是显著的危险因素。在116例HCV患者中,8例(6.89%)患者合并HCV-HBV感染。最常见的基因型(61.90%)是3型,其次是1型(38.09%)。
在本研究中,显著的危险因素是输血史、酗酒习惯、透析。通过筛查血液和血液制品以及提高对危险因素的认识,可以预防HCV感染。由于目前和新疗法的疗效因基因型而异,因此基因型研究至关重要。