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非洲纵向人群艾滋病毒/艾滋病数据分析网络(ALPHA):1989年至2014年期间七项纵向研究中普通人群基于艾滋病毒状况和艾滋病毒护理连续阶段的死亡率数据。

The Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA): Data on mortality, by HIV status and stage on the HIV care continuum, among the general population in seven longitudinal studies between 1989 and 2014.

作者信息

Slaymaker Emma, McLean Estelle, Wringe Alison, Calvert Clara, Marston Milly, Reniers Georges, Kabudula Chodziwadziwa Whiteson, Crampin Amelia, Price Alison, Michael Denna, Urassa Mark, Kwaro Daniel, Sewe Maquins, Eaton Jeffrey W, Rhead Rebecca, Nakiyingi-Miiro Jessica, Lutalo Tom, Nabukalu Dorean, Herbst Kobus, Hosegood Victoria, Zaba Basia

机构信息

Department of Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.

出版信息

Gates Open Res. 2017 Nov 6;1:4. doi: 10.12688/gatesopenres.12753.1.

DOI:10.12688/gatesopenres.12753.1
PMID:29528045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5841576/
Abstract

Timely progression of people living with HIV (PLHIV) from the point of infection through the pathway from diagnosis to treatment is important in ensuring effective care and treatment of HIV and preventing HIV-related deaths and onwards transmission of infection.  Reliable, population-based estimates of new infections are difficult to obtain for the generalised epidemics in sub-Saharan Africa.  Mortality data indicate disease burden and, if disaggregated along the continuum from diagnosis to treatment, can also reflect the coverage and quality of different HIV services.  Neither routine statistics nor observational clinical studies can estimate mortality prior to linkage to care nor following disengagement from care.  For this, population-based data are required. The Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa brings together studies in Kenya, Malawi, South Africa, Tanzania, Uganda, and Zimbabwe.  Eight studies have the necessary data to estimate mortality by HIV status, and seven can estimate mortality at different stages of the HIV care continuum.  This data note describes a harmonised dataset containing anonymised individual-level information on survival by HIV status for adults aged 15 and above. Among PLHIV, the dataset provides information on survival during different periods: prior to diagnosis of infection; following diagnosis but before linkage to care; in pre-antiretroviral treatment (ART) care; in the first six months after ART initiation; among people continuously on ART for 6+ months; and among people who have ever interrupted ART.

摘要

艾滋病毒感染者(PLHIV)从感染点开始,及时通过从诊断到治疗的路径,对于确保有效护理和治疗艾滋病毒、预防与艾滋病毒相关的死亡以及防止感染传播至关重要。对于撒哈拉以南非洲的广泛流行情况,很难获得基于人群的可靠新感染估计数。死亡率数据表明了疾病负担,如果按从诊断到治疗的连续过程进行分类,还可以反映不同艾滋病毒服务的覆盖范围和质量。常规统计数据和观察性临床研究都无法估计与护理建立联系之前或脱离护理之后的死亡率。为此,需要基于人群的数据。非洲纵向人群艾滋病毒/艾滋病数据分析网络汇集了肯尼亚、马拉维、南非、坦桑尼亚、乌干达和津巴布韦的研究。八项研究拥有按艾滋病毒状况估计死亡率所需的数据,七项研究能够估计艾滋病毒护理连续过程不同阶段的死亡率。本数据说明描述了一个统一数据集,其中包含15岁及以上成年人按艾滋病毒状况分类的匿名个人层面生存信息。在艾滋病毒感染者中,该数据集提供了不同时期的生存信息:感染诊断之前;诊断之后但在与护理建立联系之前;在抗逆转录病毒治疗(ART)前护理期间;在开始抗逆转录病毒治疗后的头六个月;在持续接受抗逆转录病毒治疗6个月及以上的人群中;以及曾经中断过抗逆转录病毒治疗的人群中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/9276a3f20ac9/gatesopenres-1-13813-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/27f27fed716b/gatesopenres-1-13813-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/5ae584d3d47e/gatesopenres-1-13813-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/9276a3f20ac9/gatesopenres-1-13813-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/27f27fed716b/gatesopenres-1-13813-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/5ae584d3d47e/gatesopenres-1-13813-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc30/6420244/9276a3f20ac9/gatesopenres-1-13813-g0002.jpg

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Trends in the burden of HIV mortality after roll-out of antiretroviral therapy in KwaZulu-Natal, South Africa: an observational community cohort study.抗逆转录病毒疗法推出后,南非夸祖鲁-纳塔尔省艾滋病毒死亡率的负担趋势:一项观察性社区队列研究。
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Data Resource Profile: Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA Network).
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Glob Public Health. 2019 Sep;14(9):1252-1263. doi: 10.1080/17441692.2019.1571092. Epub 2019 Jan 28.
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