HIV AND HEPATITIS C VIRUS COINFECTION. WHO IS THIS PATIENT TODAY?
HIV AND HEPATITIS C VIRUS COINFECTION. WHO IS THIS PATIENT TODAY?
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DOI：
10.1590/s0004-28032016000300011
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发表时间：
2016-09-01
影响因子：
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通讯作者：
TOVO, Cristiane Valle
中科院分区：
文献类型：
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作者：
ANTONELLO, Vicente Sperb;ANTONELLO, Ivan Carlos Ferreira;TOVO, Cristiane Valle
背景-随着高效抗逆转录病毒治疗（HAART）的引入，生存率的提高，丙型肝炎病毒（HCV）感染、肾脏和心血管疾病与HIV一起成为重要的发病和死亡原因。目的-本研究旨在调查巴西波尔图阿莱格雷艾滋病毒/艾滋病诊所的艾滋病毒/丙型肝炎病毒合并感染者和艾滋病毒单一感染者之间在人口统计学和临床方面的差异。方法回顾1,030例18岁或以上的HIV感染者在城市艾滋病毒/艾滋病诊所设在波尔图阿莱格雷，巴西南部的医疗记录。从2008年3月至2012年12月期间参加的患者记录中收集临床和人口统计学数据。结果-本研究是一项在巴西波尔图阿莱格雷的一家公共HIV/AIDS诊所就诊的HIV感染患者中进行的横断面研究。本研究队列中丙型肝炎病毒的患病率为11.8%（CI 95%：9.9%-13.8%）。高血压和病理性蛋白尿在合并感染组比单一感染组更常见。另一方面，血脂异常在单一感染患者中更常见。两组之间在CD 4+计数或HIV-RNA方面没有差异。在单变量分析中具有显著性的变量，P
Background - The increase in the survival following the introduction of highly active antiretroviral therapy (HAART) has seen the emergence of hepatitis C virus (HCV) infection, renal and cardiovascular diseases as important morbidity and mortality causes together with HIV. Objective - The present study aimed to investigate the differences between HIV/hepatitis C virus coinfected and HIV-monoinfected regarding demographic and clinical aspects from a HIV/AIDS clinic in Porto Alegre, Brazil. Methods-Review of medical records of 1,030 HIV infected individuals aged 18 years or more in an urban HIV/AIDS clinic based in Porto Alegre, Southern Brazil. Clinical and demographical Data were collected from the records of the patients attended between March 2008 and December 2012. Results-The present study is a cross-sectional study among HIV-infected patients attended at a public HIV/AIDS clinic in Porto Alegre, Brazil. The prevalence of hepatitis C virus in the present study cohort was 11.8% (CI 95%: 9.9%-13.8%). Hypertension and pathological proteinuria were more common in the coinfected compared to monoinfected group. By the other hand, dyslipidemia were more common among monoinfected patients. There was no difference between the groups regarding CD4+ count or HIV-RNA. Variables significant in the univariate analysis with P