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南非夸祖鲁 - 纳塔尔省农村和城郊地区艾滋病毒呈阳性的男性和女性中未受抑制的病毒载量的时空变化及预测因素

Spatiotemporal Variation and Predictors of Unsuppressed Viral Load among HIV-Positive Men and Women in Rural and Peri-Urban KwaZulu-Natal, South Africa.

作者信息

Soogun Adenike O, Kharsany Ayesha B M, Zewotir Temesgen, North Delia, Ogunsakin Ebenezer, Rakgoale Perry

机构信息

Department of Statistics, School of Mathematics, Statistics and Computer Science, College of Agriculture Engineering and Science, University of KwaZulu-Natal, Durban 4001, South Africa.

Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.

出版信息

Trop Med Infect Dis. 2022 Sep 6;7(9):232. doi: 10.3390/tropicalmed7090232.

Abstract

Unsuppressed HIV viral load is an important marker of sustained HIV transmission. We investigated the prevalence, predictors, and high-risk areas of unsuppressed HIV viral load among HIV-positive men and women. Unsuppressed HIV viral load was defined as viral load of ≥400 copies/mL. Data from the HIV Incidence District Surveillance System (HIPSS), a longitudinal study undertaken between June 2014 to June 2016 among men and women aged 15−49 years in rural and peri-urban KwaZulu-Natal, South Africa, were analysed. A Bayesian geoadditive regression model which includes a spatial effect for a small enumeration area was applied using an integrated nested Laplace approximation (INLA) function while accounting for unobserved factors, non-linear effects of selected continuous variables, and spatial autocorrelation. The prevalence of unsuppressed HIV viral load was 46.1% [95% CI: 44.3−47.8]. Predictors of unsuppressed HIV viral load were incomplete high school education, being away from home for more than a month, alcohol consumption, no prior knowledge of HIV status, not ever tested for HIV, not on antiretroviral therapy (ART), on tuberculosis (TB) medication, having two or more sexual partners in the last 12 months, and having a CD4 cell count of <350 cells/μL. A positive non-linear effect of age, household size, and the number of lifetime HIV tests was identified. The higher-risk pattern of unsuppressed HIV viral load occurred in the northwest and northeast of the study area. Identifying predictors of unsuppressed viral load in a localized geographic area and information from spatial risk maps are important for targeted prevention and treatment programs to reduce the transmission of HIV.

摘要

未受抑制的HIV病毒载量是持续HIV传播的一个重要指标。我们调查了HIV阳性男性和女性中未受抑制的HIV病毒载量的患病率、预测因素和高危地区。未受抑制的HIV病毒载量定义为病毒载量≥400拷贝/毫升。分析了来自HIV发病率地区监测系统(HIPSS)的数据,该系统是2014年6月至2016年6月在南非夸祖鲁-纳塔尔省农村和城郊地区对15至49岁的男性和女性进行的一项纵向研究。应用了一种贝叶斯地理加性回归模型,该模型包括一个小普查区域的空间效应,使用集成嵌套拉普拉斯近似(INLA)函数,同时考虑未观察到的因素、选定连续变量的非线性效应和空间自相关。未受抑制的HIV病毒载量的患病率为46.1%[95%可信区间:44.3−47.8]。未受抑制的HIV病毒载量的预测因素包括高中教育未完成、离家超过一个月、饮酒、对HIV感染状况无先验了解、从未接受过HIV检测、未接受抗逆转录病毒治疗(ART)、正在服用结核病(TB)药物、在过去12个月内有两个或更多性伴侣以及CD4细胞计数<350个细胞/微升。确定了年龄、家庭规模和终身HIV检测次数的正非线性效应。未受抑制的HIV病毒载量的高危模式出现在研究区域的西北部和东北部。确定局部地理区域中未受抑制的病毒载量的预测因素以及空间风险图中的信息对于减少HIV传播的有针对性的预防和治疗方案很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/666d/9502339/ba39cb4d833f/tropicalmed-07-00232-g001.jpg

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