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评估南非德班进行 HIV 检测后 HIV 感染者和 HIV 未感染者 5 年死亡率及其相关的预测因素。

Assessing rates and contextual predictors of 5-year mortality among HIV-infected and HIV-uninfected individuals following HIV testing in Durban, South Africa.

机构信息

Division of Infectious Diseases, Massachusetts General Hospital, 100 Cambridge Street, 16th Floor, Boston, MA, 02114, USA.

Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA.

出版信息

BMC Infect Dis. 2019 Aug 28;19(1):751. doi: 10.1186/s12879-019-4373-9.

Abstract

BACKGROUND

Little is known about contextual factors that predict long-term mortality following HIV testing in resource-limited settings. We evaluated the impact of contextual factors on 5-year mortality among HIV-infected and HIV-uninfected individuals in Durban, South Africa.

METHODS

We used data from the Sizanani trial (NCT01188941) in which adults (≥18y) were enrolled prior to HIV testing at 4 outpatient sites. We ascertained vital status via the South African National Population Register. We used random survival forests to identify the most influential predictors of time to death and incorporated these into a Cox model that included age, gender, HIV status, CD4 count, healthcare usage, health facility type, mental health, and self-identified barriers to care (i.e., service delivery, financial, logistical, structural and perceived health).

RESULTS

Among 4816 participants, 39% were HIV-infected. Median age was 31y and 49% were female. 380 of 2508 with survival information (15%) died during median follow-up of 5.8y. For both HIV-infected and HIV-uninfected participants, each additional barrier domain increased the HR of dying by 11% (HR 1.11, 95% CI 1.05-1.18). Every 10-point increase in mental health score decreased the HR by 7% (HR 0.93, 95% CI 0.89-0.97). The hazard ratio (HR) for death of HIV-infected versus HIV-uninfected varied by age: HR of 6.59 (95% CI: 4.79-9.06) at age 20 dropping to a HR of 1.13 (95% CI: 0.86-1.48) at age 60.

CONCLUSIONS

Independent of serostatus, more self-identified barrier domains and poorer mental health increased mortality risk. Additionally, the impact of HIV on mortality was most pronounced in younger persons. These factors may be used to identify high-risk individuals requiring intensive follow up, regardless of serostatus.

TRIAL REGISTRATION

Clinical Trials.gov Identifier NCT01188941. Registered 26 August 2010.

摘要

背景

在资源有限的环境中,人们对预测 HIV 检测后长期死亡率的相关因素知之甚少。我们评估了在南非德班,影响 HIV 感染者和未感染者 5 年死亡率的相关因素。

方法

我们使用了 Sizanani 试验的数据(NCT01188941),该试验在 4 个门诊点进行 HIV 检测前,入组了成年人(≥18 岁)。我们通过南非国家人口登记处确定了生存状况。我们使用随机生存森林来确定对死亡时间影响最大的预测因子,并将其纳入包含年龄、性别、HIV 状态、CD4 计数、医疗保健使用、医疗机构类型、心理健康和自我认定的护理障碍(即服务提供、财务、后勤、结构和感知健康)的 Cox 模型中。

结果

在 4816 名参与者中,39%为 HIV 感染者。中位年龄为 31 岁,49%为女性。在有生存信息的 2508 名参与者中,有 380 名(15%)在中位随访 5.8 年后死亡。对于 HIV 感染者和未感染者,每个额外的障碍域都会使死亡的 HR 增加 11%(HR 1.11,95%CI 1.05-1.18)。心理健康评分每增加 10 分,HR 降低 7%(HR 0.93,95%CI 0.89-0.97)。HIV 感染者与 HIV 未感染者的死亡风险比(HR)因年龄而异:20 岁时的 HR 为 6.59(95%CI:4.79-9.06),降至 60 岁时的 HR 为 1.13(95%CI:0.86-1.48)。

结论

独立于血清状态,更多的自我认定的障碍域和较差的心理健康状况增加了死亡风险。此外,HIV 对死亡率的影响在年轻人中最为明显。这些因素可用于识别需要强化随访的高危个体,而不论血清状态如何。

临床试验注册

ClinicalTrials.gov 标识符 NCT01188941。2010 年 8 月 26 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af0c/6712739/84980358af53/12879_2019_4373_Fig1_HTML.jpg

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