Nakfa Hospital, Ministry of Health Northern Red Sea Branch, Nakfa, Eritrea.
Orotta College of Medicine and Health Sciences, Asmara, Eritrea.
Sci Rep. 2023 Mar 14;13(1):4183. doi: 10.1038/s41598-023-30804-8.
Combined antiretroviral therapy (cART) durability and time to modification are important quality indicators in HIV/AIDs treatment programs. This analysis describes the incidence, patterns, and factors associated with cART modifications in HIV patients enrolled in four treatment centers in Asmara, Eritrea from 2005 to 2021. Retrospective cohort study combining data from 5020 [males, 1943 (38.7%) vs. females, 3077 (61.3%)] patients were utilized. Data on multiple demographic and clinical variables were abstracted from patient's charts and cART program registry. Independent predictors of modification and time to specified events were evaluated using a multi-variable Cox-proportional hazards model and Kaplan-Meier analysis. The median (±IQR) age, CD4 T-cell count, and proportion of patients with WHO Clinical stage III/IV were 48 (IQR 41-55) years; 160 (IQR 80-271) cells/µL; and 2667 (53.25%), respectively. The cumulative frequency of all cause cART modification was 3223 (64%): 2956 (58.8%) substitutions; 37 (0.7%) switches; and both, 230 (4.5%). Following 241,194 person-months (PMFU) of follow-up, incidence rate of cART substitution and switch were 12.3 (95% CI 11.9-12.8) per 1000 PMFU and 3.9 (95% CI 3.2-4.8) per 10,000 PMFU, respectively. Prominent reasons for cART substitution included toxicity/intolerance, drug-shortage, new drug availability, treatment failure, tuberculosis and pregnancy. The most common adverse event (AEs) associated with cART modification included lipodystrophy, anemia and peripheral neuropathy, among others. In the adjusted multivariate Cox regression model, Organisation (Hospital B: aHR = 1.293, 95% CI 1.162-1.439, p value < 0.001) (Hospital D: aHR = 1.799, 95% CI 1.571-2.060, p value < 0.001); Initial WHO clinical stage (Stage III: aHR = 1.116, 95% CI 1.116-1.220, p value < 0.001); NRTI backbone (D4T-based: aHR = 1.849, 95% CI 1.449-2.360, p value < 0.001) were associated with increased cumulative hazard of treatment modification. Baseline weight (aHR = 0.996, 95% CI 0.993-0.999, p value = 0.013); address within Maekel (aHR = 0.854, 95% CI 0.774-0.942, p value = 0.002); AZT-based backbones (aHR = 0.654, 95% CI 0.515-0.830, p value < 0.001); TDF-based backbones: aHR = 0.068, 95% CI 0.051-0.091, p value < 0.001), NVP-based anchors (aHR = 0.889, 95% CI 0.806-0.980, p value = 0.018) were associated with lower cumulative hazards of attrition. The minimal number of switching suggests inadequate VL testing. However, the large number of toxicity/intolerance and drug-shortage driven substitutions highlight important problems in this setting. Consequently, the need to advocate for both sustainable access to safer ARVs in SSA and improvements in local supply chains is warranted.
联合抗逆转录病毒疗法 (cART) 的持久性和修改时间是 HIV/AIDS 治疗计划中的重要质量指标。本分析描述了在厄立特里亚阿斯马拉的四个治疗中心,从 2005 年到 2021 年期间入组的 HIV 患者接受 cART 调整的发生率、模式和相关因素。利用了来自 5020 名患者(男性,1943 名[38.7%]与女性,3077 名[61.3%])的数据,进行了回顾性队列研究。从患者图表和 cART 项目登记处提取了多个人口统计学和临床变量的数据。使用多变量 Cox 比例风险模型和 Kaplan-Meier 分析评估了修改和指定事件时间的独立预测因素。使用多变量 Cox 比例风险模型和 Kaplan-Meier 分析评估了修改和指定事件时间的独立预测因素。使用多变量 Cox 比例风险模型和 Kaplan-Meier 分析评估了修改和指定事件时间的独立预测因素。所有原因的 cART 修饰的累积频率为 3223(64%):2956(58.8%)替代物;37(0.7%)开关;两者都是 230(4.5%)。在 241194 人月(PMFU)的随访后,cART 替代和转换的发生率分别为每 1000 PMFU 12.3(95%CI 11.9-12.8)和每 10000 PMFU 3.9(95%CI 3.2-4.8)。cART 替代的主要原因包括毒性/不耐受、药物短缺、新药可用性、治疗失败、结核病和怀孕。与 cART 修饰相关的最常见不良事件 (AE) 包括脂代谢障碍、贫血和周围神经病等。在调整后的多变量 Cox 回归模型中,组织(医院 B:aHR=1.293,95%CI 1.162-1.439,p 值<0.001)(医院 D:aHR=1.799,95%CI 1.571-2.060,p 值<0.001);初始世界卫生组织临床阶段(III 期:aHR=1.116,95%CI 1.116-1.220,p 值<0.001);NRTI 骨干(D4T 为基础:aHR=1.849,95%CI 1.449-2.360,p 值<0.001)与治疗修改的累积风险增加相关。基线体重(aHR=0.996,95%CI 0.993-0.999,p 值=0.013);在 Maekel 内的地址(aHR=0.854,95%CI 0.774-0.942,p 值=0.002);AZT 为基础的骨干(aHR=0.654,95%CI 0.515-0.830,p 值<0.001);TDF 为基础的骨干:aHR=0.068,95%CI 0.051-0.091,p 值<0.001),NVP 为基础的锚点(aHR=0.889,95%CI 0.806-0.980,p 值=0.018)与较低的累积损耗风险相关。转换的最小数量表明 VL 检测不足。然而,大量的毒性/不耐受和药物短缺驱动的替代物突出了这一环境中的重要问题。因此,需要倡导在整个 SSA 地区获得更安全的 ARV 治疗,并改善当地的供应链。