关键词: HIV men who have sex with men monkeypox sexually transmitted disease

来  源:   DOI:10.4081/dr.2024.9860   PDF(Pubmed)

Abstract:
This meta-analysis estimates sexually transmitted disease (STI) and HIV rates in male monkeypox patients during the 2022 outbreak. The study examines contextual factors that increase monkeypox risk. A systematic review of PubMed/Medline, Scopus, and Google Scholar was conducted to find observational studies on monkeypox patients\' demographics and medical characteristics from the 2022 outbreak. This review\'s meta-analysis followed the System for the Unified Management, Assessment, and Review of Information - Joanna Briggs Institute (SUMARI JBI) guidelines. All HIV and STI prevalence data for male monkeypox patients was exported into the SUMARI JBI. For point prevalence of HIV and STIs, we used the Freeman-Tukey-type arcsine square root transformation to stabilize raw proportion variances. A fixed-effects model weighted and pooled all estimates by inverse variance. We then used a random model to account for sampling variation and reported fixed-effect model effect size heterogeneity across studies. Study heterogeneity was measured using the I2 test statistic and P-values. I2 test results were interpreted as low (25%), moderate (50%), and high (75%). Six Spanish and English studies qualified. These studies included 541 male monkeypox patients, 214 of whom had HIV and 255 with other STIs. HIV prevalence was estimated at 40% (95% CI = 0.31%, 0.50%; ᵡ2=15) and STIs at 43% (95% CI = 25%, 61%; ᵡ2=118). Overall, analyses showed moderate to high heterogeneity. Four in ten male monkeypox patients in 2022 had HIV or other STIs. To prevent HIV and other STIs, public health measures should target male and female monkeypox patients.
摘要:
这项荟萃分析估计了2022年爆发期间男性猴痘患者的性传播疾病(STI)和HIV感染率。该研究调查了增加猴痘风险的环境因素。对PubMed/Medline的系统评价,Scopus,GoogleScholar是为了寻找2022年爆发以来猴痘患者的人口统计学和医学特征的观察性研究。这篇综述的荟萃分析遵循了统一管理系统,评估,和信息评论-乔安娜·布里格斯研究所(SUMARIJBI)指南。男性猴痘患者的所有HIV和STI患病率数据均输出到SUMARIJBI中。对于艾滋病毒和性传播感染的流行点,我们使用Freeman-Tukey型反正弦平方根变换来稳定原始比例方差。一个固定效应模型,通过逆方差加权和汇集所有估计。然后,我们使用随机模型来解释抽样差异,并报告了固定效应模型效应大小的异质性。使用I2检验统计量和P值测量研究异质性。I2测试结果被解释为低(25%),中等(50%),高(75%)。六项西班牙语和英语研究合格。这些研究包括541名男性猴痘患者,其中214人感染了艾滋病毒,255人感染了其他性传播感染。艾滋病毒感染率估计为40%(95%CI=0.31%,0.50%;2=15)和性传播感染为43%(95%CI=25%,61%;2=118)。总的来说,分析显示中度到高度异质性。2022年,十分之四的男性猴痘患者患有艾滋病毒或其他性传播感染。预防艾滋病毒和其他性传播感染,公共卫生措施应针对男性和女性猴痘患者。
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