Suppr超能文献

与艾滋病毒相关的超额死亡率:PHIA项目的调查估计数。

Excess mortality associated with HIV: Survey estimates from the PHIA project.

作者信息

Farley Shannon M, Reid Giles, Yuengling Kay, Wright Connor, Chisumpa Vesper H, Bello George, Juma James M, Greenleaf Abigail R, McCracken Stephen, Stupp Paul, Helleringer Stéphane, Justman Jessica

机构信息

ICAP at Columbia University, New York, NY, USA.

Department of Population Studies, University of Zambia, Lusaka, Zambia.

出版信息

Demogr Res. 2024 Nov;51(2):1183-1200. doi: 10.4054/demres.2024.51.38.

Abstract

BACKGROUND

Incomplete vital statistics systems in resource-limited countries hinder accurate HIV epidemic assessments. Population-based survey data combined with HIV infection biomarkers may partially address this gap, providing excess mortality estimates in households where people living with HIV (PLWH) reside.

OBJECTIVE

Examine household-level excess HIV mortality in households with PLWH using population-based survey data, including mortality reported by heads of households, and HIV biomarkers.

METHODS

We compared mortality between households with and without PLWH using publicly available data from 11 Population-based HIV Impact Assessments conducted between 2015 and 2019 in Cameroon, Côte d'Ivoire, Eswatini, Kenya, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Eligible, consenting household members provided blood for HIV testing. Household-level regression models estimated deaths per 1,000 person-years (PY) for the three-year period before the survey; death rate ratios were calculated. Quasi-Poisson distribution accounted for household death over-dispersion.

RESULTS

Country-specific deaths rates per 1,000 PY were significantly higher among rural versus urban households for five countries. For example, in Cameroon, the rates were 9.3 (95% confidence interval [CI]: 8.7-9.9) versus 6.5 (95% CI: 5.9-7.1). In six countries, death rates were significantly higher (1.3-1.7-fold) among households with PLWH versus those without. Death rate ratios were significantly higher among rural (1.4-1.8-fold) and urban households (1.6-2.3-fold) with PLWH versus those without in four and three countries, respectively.

CONCLUSIONS

General population household survey findings in multiple countries in Africa indicate that households where PLWH resided experienced excess mortality relative to other households.

CONTRIBUTION

The novel approach we use to describe HIV-related household-level mortality offers an additional method to measure progress toward zero AIDS-related deaths.

摘要

背景

资源有限国家的生命统计系统不完善,阻碍了对艾滋病毒疫情的准确评估。基于人群的调查数据与艾滋病毒感染生物标志物相结合,可能部分弥补这一差距,提供艾滋病毒感染者(PLWH)居住家庭的超额死亡率估计。

目的

利用基于人群的调查数据,包括户主报告的死亡率和艾滋病毒生物标志物,研究有艾滋病毒感染者家庭的家庭层面超额艾滋病毒死亡率。

方法

我们使用2015年至2019年期间在喀麦隆、科特迪瓦、斯威士兰、肯尼亚、马拉维、纳米比亚、卢旺达、坦桑尼亚、乌干达、赞比亚和津巴布韦进行的11项基于人群的艾滋病毒影响评估的公开数据,比较了有和没有艾滋病毒感染者家庭的死亡率。符合条件且同意参与的家庭成员提供血液进行艾滋病毒检测。家庭层面的回归模型估计了调查前三年每1000人年(PY)的死亡人数;计算了死亡率比值。拟泊松分布考虑了家庭死亡的过度分散情况。

结果

五个国家农村家庭每1000 PY的特定国家死亡率显著高于城市家庭。例如,在喀麦隆,这一比率分别为9.3(95%置信区间[CI]:8.7 - 9.9)和6.5(95% CI:5.9 - 7.1)。在六个国家,有艾滋病毒感染者的家庭死亡率显著高于没有感染者的家庭(1.3至1.7倍)。在四个国家,农村有艾滋病毒感染者的家庭死亡率比值显著高于没有感染者的家庭(1.4至1.8倍);在三个国家,城市有艾滋病毒感染者的家庭死亡率比值显著高于没有感染者的家庭(1.6至2.3倍)。

结论

非洲多个国家的一般人群家庭调查结果表明,艾滋病毒感染者居住的家庭相对于其他家庭经历了超额死亡率。

贡献

我们用于描述与艾滋病毒相关的家庭层面死亡率的新方法提供了一种额外的方法来衡量在实现零艾滋病相关死亡方面的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a26/12087677/418b64c28417/nihms-2074527-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验