British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.
Department of Medicine, University of California San Diego, San Diego, CA, USA.
Lancet HIV. 2019 Aug;6(8):e531-e539. doi: 10.1016/S2352-3018(19)30148-1. Epub 2019 Jul 11.
Accurately estimating HIV disease progression and retention on antiretroviral therapy (ART) can help inform interventions to control HIV microepidemics and mathematical models used to inform health-resource allocation decisions. Our objective was to estimate the monthly probabilities of on-ART CD4 T-cell count progression, mortality, ART dropout, and ART reinitiation using a continuous-time multistate Markov model. We also aimed to validate health-state transition probability estimates to ensure they accurately reproduced the regional HIV microepidemics across the USA.
In our modelling study, we considered a cohort of patients from the HIV Research Network, a consortium of 17 adult and paediatric HIV-care providers located in the northeastern (n=8), southern (n=5), and western (n=4) regions of the USA. Individuals aged 15 years or older who were in HIV care (defined as one CD4 test and one HIV-care visit in a calendar year period) with at least one ART prescription between Jan 1, 2010, and Dec 31, 2015, were included in the analysis. We used continuous-time multistate Markov models to estimate transitions between CD4 strata and between on-ART and off-ART states. We examined and adjusted for differences in probability of transition by region, race or ethnicity, sex, HIV risk group, and other baseline clinical indicators.
The median age of the 32 242 individuals included in the analysis was 44 years (interquartile range 35-51). Over a median follow-up of 4·9 years (2·6-6·0), 8614 (26·7%) of 32 242 people interrupted ART and 1325 (4·1%) of 32 242 people died. Women, men who have sex with men, and individuals with no previous ART experience had greater increases in CD4 cell counts, whereas black people and people who inject drugs had increased probabilities of ART dropout and faster disease progression. Regardless of CD4 strata, individuals had increased hazard for ART dropout if they were from the south (adjusted hazard ratio [aHR] range from 1·91, 95% CI 1·71-2·13, to 2·45, 2·29-2·62) or the west (aHR range from 1·29, 1·10-1·51, to 1·66, 1·51-1·82) of the USA, compared with individuals from the northeast USA.
Our results show heterogeneities in disease progression during ART and probability of ART retention across race and ethnicity, HIV risk groups, and regions. These differences should be viewed as targets for intervention and should be incorporated in mathematical models of regional HIV microepidemics in the USA.
US National Institutes of Health, Agency for Healthcare Research and Quality, and Health Resources and Services Administration.
准确估计 HIV 疾病进展和抗逆转录病毒治疗(ART)的保留率,有助于为控制 HIV 微观流行和用于为卫生资源分配决策提供信息的数学模型提供干预措施。我们的目的是使用连续时间多状态马尔可夫模型估计 ART 时 CD4 细胞计数进展、死亡率、ART 中断、ART 再启动的每月概率。我们还旨在验证健康状态转移概率估计值,以确保它们准确再现美国各地的 HIV 微观流行。
在我们的建模研究中,我们考虑了来自 HIV 研究网络的队列,该网络由位于美国东北部(n=8)、南部(n=5)和西部(n=4)的 17 个成人和儿科 HIV 护理提供者组成。纳入年龄在 15 岁及以上,在 HIV 护理中(定义为在日历年内进行一次 CD4 检测和一次 HIV 护理就诊),并且在 2010 年 1 月 1 日至 2015 年 12 月 31 日之间至少有一次 ART 处方的个体。我们使用连续时间多状态马尔可夫模型来估计 CD4 分层之间以及 ART 和非 ART 状态之间的转移。我们根据地区、种族或民族、性别、HIV 风险组和其他基线临床指标检查和调整转移概率的差异。
纳入分析的 32242 人中的中位年龄为 44 岁(四分位距 35-51)。在中位随访 4.9 年(2.6-6.0)期间,32242 人中的 8614 人(26.7%)中断了 ART,32242 人中的 1325 人(4.1%)死亡。女性、男男性行为者和无既往 ART 治疗经验的人 CD4 细胞计数增加幅度更大,而黑人及吸毒者 ART 中断和疾病进展更快的概率更高。无论 CD4 分层如何,如果来自美国南部(调整后的危险比范围为 1.91,95%CI 1.71-2.13,至 2.45,2.29-2.62)或西部(调整后的危险比范围为 1.29,1.10-1.51,至 1.66,1.51-1.82),与来自美国东北部的个体相比,ART 中断的风险更高。
我们的研究结果表明,在接受 ART 治疗期间,疾病进展和 ART 保留的概率存在种族和民族、HIV 风险组和地区之间的差异。这些差异应被视为干预的目标,并应纳入美国 HIV 微观流行的数学模型。
美国国立卫生研究院、医疗保健研究与质量局和卫生资源与服务管理局。