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Characterization of the hepatitis C virus epidemic in Pakistan

机译:巴基斯坦丙型肝炎病毒流行病的特征

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With one in every 20 Pakistanis already infected, Pakistan has the second largest number of hepatitis C virus (HCV) infections globally. The aim of this study was to present a quantitative and analytical characterization of the HCV epidemic in Pakistan. A standardized database of HCV antibody incidence and prevalence and HCV genotypes in all subpopulations was systematically assembled. Random-effects meta-analyses and random-effects meta-regressions were performed. Shannon Diversity Index was calculated to determine genotype diversity. The database included two incidence, 309 prevalence, and 48 genotype measures. Pooled mean HCV prevalence ranged between 7.0% (95% confidence interval (CI): 5.8-8.3%) in Sindh and 0.9% (95% CI: 0.1-2.4%) in Federally Administered Tribal Areas (F.A.T.A). Estimated number of chronically-infected persons ranged between 4.2 million in Punjab and 0.03 million in F.A.T.A. HCV prevalence was stable over time [adjusted odds ratio (AOR) of 1.0 (95% CI: 1.0-1.0)]. Population classification was the strongest predictor of HCV prevalence, explaining 51.8% of prevalence variation. Relative to the general population, HCV prevalence was higher in people who inject drugs [AOR of 23.8 (95% CI: 13.0-43.6)], populations with liver-related conditions [AOR of 22.3 (95% CI: 15.7-31.6)], and high-risk clinical populations [AOR of 7.8 (95% CI: 4.8-12.7)]. Low genotype diversity was observed (Shannon diversity index of 0.67 out of 1.95; 34.5%). There were only minor differences in genotype diversity by province, with genotype 3 being most common in all provinces. Pakistan's HCV epidemic shows homogeneity across the provinces, and over time. HCV prevalence is strikingly persistent at high level, with no evidence for a decline over the last three decades. Scale up of HCV treatment and prevention is urgently needed.
机译:在每20只Pakistanis中都有一个已感染,巴基斯坦在全球拥有第二大丙型肝炎病毒(HCV)感染。本研究的目的是提出巴基斯坦HCV流行病的定量和分析表征。系统地组装了所有亚步骤中的HCV抗体发生率和患病率和HCV基因型的标准化数据库。进行随机效应元分析和随机效应元回归。计算香农分代指数以确定基因型多样性。该数据库包括两个发病率,309次流行和48个基因型措施。合并的平均HCV患病率在联邦管理部落地区(F.A.T.A)中的SINDH中的7.0%(95%置信区间(CI):5.8-8.3%),0.9%(95%CI:0.1-2.4%)。估计的长期感染者数量在旁遮普邦介乎420万至4.03亿之间,在F.a.t.a.a. HCV患病率随时间稳定[调整后的差距(AOR)为1.0(95%CI:1.0-1.0)]。人口分类是HCV患病率最强的预测因子,解释了51.8%的流行变化。相对于一般人群,注射药物的人民HCV患病率较高[AOR 23.8(95%CI:13.0-43.6)],具有肝脏相关条件的群体[AOR 22.3(95%CI:15.7-31.6)] ,高风险的临床群[AOR为7.8(95%CI:4.8-12.7)]。观察到低基因型多样性(Shannon多样性指数为0.67的1.95分; 34.5%)。省份基因型多样性只有微小差异,基因型3在所有省份中最常见。巴基斯坦的HCV流行病显示了各省的同质性,随着时间的推移。 HCV患病率在高水平上持续持久,没有证据过去三十年的销量。迫切需要扩大HCV处理和预防。

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