HIV作为结核病复发的预后因素:系统回顾和荟萃分析

Mónica Roa, Hern, O. G. G. Duarte, Ma Aranguren
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摘要

目的:系统评价的目的是确定HIV感染与结核病复发之间的关联程度。背景:复发是指已接受治疗并宣布治愈的结核病病例,或已接受完全治疗并再次被诊断为结核发作的结核病病例。材料和方法:选择采用一种或多种基因分型方法并表征患者血清学HIV状态的队列型研究。使用Medline、Embase、BVS和SciELO数据库,以及谷歌和谷歌Scholar搜索引擎、Sinab网络中的电子期刊、灰色文献和选定研究的参考书目。根据基因分型方法、结核病患病率和复发定义构建亚组荟萃分析。评估偏倚风险并进行敏感性分析。OR估计是在有或没有贡献最高异质性水平的研究的情况下建立的。结果:纳入11项研究,共8941例患者。HIV(+)患者出现全球复发的风险是HIV(-)患者的1.8倍,OR为1.78[1.34,2.38]。对于内源性复发,HIV仅在低流行区有影响OR 2.09[1.03, 4.27],而对于外源性复发,HIV在高流行区有影响OR 4.42[1.56, 12.57]。结论:HIV是结核病复发的预后因素。这种关系受流行程度的影响。
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HIV as A Prognostic Factor for Tuberculosis Relapse: A Systematic Review and Meta-Analysis
Aim: The systematic review objective is determine the magnitude of the association between HIV infection and TB relapse. Background: Relapse refers to tuberculosis (TB) cases that have been treated and declared cured, or that has received complete treatment and is once again diagnosed with an episode of TB. Materials and methods: Cohort-type studies that applied one or more genotyping methods and characterized the serological HIV status of patients were selected. Medline, Embase, BVS, and SciELO databases were used, along with Google and Google Scholar search engines, electronic journals in the Sinab network, grey literature, and bibliographical references from selected studies. Meta-analyses of subgroups were constructed according to the genotyping method, TB prevalence, and relapse definition. Risk of bias was evaluated and a sensitivity analysis was performed. OR estimators were established with and without studies that contributed the highest levels of heterogeneity. Results: Eleven studies with 8941 patients were included. HIV (+) patients show 1.8 times greater risk than HIV (-) patients of presenting global relapse OR 1.78 [1.34, 2.38]. Regarding endogenous relapse, HIV is influential only in low prevalence zones OR 2.09 [1.03, 4.27], while for exogenous relapse, it is influential in high prevalence zones OR 4.42 [1.56, 12.57]. Conclusion: HIV is a prognostic factor for TB relapse. This relation is influenced by prevalence.
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