Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Theor Biol Med Model. 2021 Aug 21;18(1):16. doi: 10.1186/s12976-021-00145-y.
This study aimed to jointly model HIV disease progression patterns based on viral load (VL) among adult ART patients adjusting for the time-varying "incremental transients states" variable, and the CD4 cell counts orthogonal variable in a single 5-stage time-homogenous multistate Markov model. We further jointly mapped the relative risks of HIV disease progression outcomes (detectable VL (VL ≥ 50copies/uL) and immune deterioration (CD4 < 350cells/uL) at the last observed visit) conditional not to have died or become loss to follow-up (LTFU).
Secondary data analysis of individual-level patients on ART was performed. Adjusted transition intensities, hazard ratios (HR) and regression coefficients were estimated from the joint multistate model of VL and CD4 cell counts. The mortality and LTFU transition rates defined the extent of patients' retention in care. Joint mapping of HIV disease progression outcomes after ART initiation was done using the Bayesian intrinsic Multivariate Conditional Autoregressive prior model.
The viral rebound from the undetectable state was 1.78times more likely compared to viral suppression among patients with VL ranging from 50-1000copies/uL. Patients with CD4 cell counts lower than expected had a higher risk of viral increase above 1000copies/uL and death if their VL was above 1000copies/uL (state 2 to 3 (λ): HR = 1.83 and (λ): HR = 1.42 respectively). Regarding the time-varying effects of CD4 cell counts on the VL transition rates, as the VL increased, (λ and λ) the transition rates increased with a decrease in the CD4 cell counts over time. Regardless of the individual's VL, the transition rates to become LTFU decreased with a decrease in CD4 cell counts. We observed a strong shared geographical pattern of 66% spatial correlation between the relative risks of detectable VL and immune deterioration after ART initiation, mainly in Matabeleland North.
With high rates of viral rebound, interventions which encourage ART adherence and continual educational support on the barriers to ART uptake are crucial to achieve and sustain viral suppression to undetectable levels. Area-specific interventions which focus on early ART screening through self-testing, behavioural change campaigns and social support strategies should be strengthened in heavily burdened regions to sustain the undetectable VL. Sustaining undetectable VL lowers HIV transmission in the general population and this is a step towards achieving zero HIV incidences by 2030.
本研究旨在基于成人 ART 患者的病毒载量(VL),通过单一的 5 阶段时间均匀多状态马尔可夫模型,调整时间变化的“增量瞬态状态”变量和 CD4 细胞计数正交变量,共同建模 HIV 疾病进展模式。我们进一步共同绘制了 HIV 疾病进展结果(最后一次观察时可检测到的 VL(VL≥50copies/uL)和免疫恶化(CD4<350cells/uL)的相对风险)的条件,即没有死亡或失访(LTFU)。
对接受 ART 治疗的个体患者进行二次数据分析。从 VL 和 CD4 细胞计数的联合多状态模型中估计调整后的转移强度、风险比(HR)和回归系数。死亡率和 LTFU 转移率定义了患者在护理中的保留程度。使用贝叶斯内在多元条件自回归先验模型对 ART 启动后 HIV 疾病进展结果进行联合映射。
VL 在 50-1000copies/uL 范围内的患者中,病毒从不可检测状态反弹的可能性是病毒抑制的 1.78 倍。CD4 细胞计数低于预期的患者,如果其 VL 高于 1000copies/uL,则病毒增加超过 1000copies/uL 且死亡的风险更高(状态 2 到 3(λ):HR=1.83 和(λ):HR=1.42 分别)。关于 CD4 细胞计数对 VL 转移率的时变影响,随着 VL 的增加,(λ和 λ)转移率随着时间的推移 CD4 细胞计数的减少而增加。无论个人的 VL 如何,成为 LTFU 的转移率随着 CD4 细胞计数的减少而降低。我们观察到,在开始 ART 治疗后,可检测到的 VL 和免疫恶化的相对风险之间存在 66%的强烈共享地理模式,主要在北马塔贝莱兰。
病毒反弹率高,鼓励 ART 依从性的干预措施和持续的关于 ART 接受障碍的教育支持对于实现和维持病毒抑制到不可检测水平至关重要。在负担沉重的地区,应加强针对早期 ART 筛查的特定区域干预措施,包括自我检测、行为改变运动和社会支持策略,以维持不可检测的 VL。维持不可检测的 VL 可降低普通人群中的 HIV 传播,这是实现到 2030 年零 HIV 发病率目标的一步。