Predictors of All-Cause Mortality Among People With Human Immunodeficiency Virus (HIV) in a Prospective Cohort Study in East Africa and Nigeria

东非和尼日利亚一项前瞻性队列研究:人类免疫缺陷病毒(HIV)感染者全因死亡率的预测因素

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Abstract

BACKGROUND: Introduction of antiretroviral therapy (ART) has been associated with a decline in human immunodeficiency virus (HIV)-related mortality, although HIV remains a leading cause of death in sub-Saharan Africa. We describe all-cause mortality and its predictors in people living with HIV (PLWH) in the African Cohort Study (AFRICOS). METHODS: AFRICOS enrolls participants with or without HIV at 12 sites in Kenya, Uganda, Tanzania, and Nigeria. Evaluations every 6 months include sociobehavioral questionnaires, medical history, physical examination, and laboratory tests. Mortality data are collected from medical records and survivor interviews. Multivariable Cox proportional hazards models were used to calculate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for factors associated with mortality. RESULTS: From 2013 through 2020, 2724 PLWH completed at least 1 follow-up visit or experienced death. Of these 58.4% were females, 25.8% were aged ≥ 50 years, and 98.3% were ART-experienced. We observed 11.42 deaths per 1000 person-years (95% CI: 9.53-13.68) with causes ascertained in 54% of participants. Deaths were caused by malignancy (28.1%), infections (29.7%), and other non-HIV related conditions. Predictors of mortality included CD4 ≤ 350 cells/µL (aHR 2.01 [95% CI: 1.31-3.08]), a log10copies/mL increase of viral load (aHR 1.36 [95% CI: 1.22-1.51]), recent fever (aHR 1.85[95% CI: 1.22-2.81]), body mass index < 18.5 kg/m2 (aHR 2.20 [95% CI: 1.44-3.38]), clinical depression (aHR 2.42 [95% CI: 1.40-4.18]), World Health Organization (WHO) stage III (aHR 2.18 [95% CI: 1.31-3.61]), a g/dL increase in hemoglobin (aHR 0.79 [95% CI: .72-.85]), and every year on ART (aHR 0.67 [95% CI: .56-.81]). CONCLUSIONS: The mortality rate was low in this cohort of mostly virally suppressed PLWH. Patterns of deaths and identified predictors suggest multiple targets for interventions to reduce mortality.

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