Jaldo Mesfin Menza, Abraham Awoke, Lajore Bereket Aberham, Zakaria Hamdi Fekredin, Yakob Tagese
School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia.
School of Public Health, College of Health Science and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
BMC Infect Dis. 2025 Jul 12;25(1):915. doi: 10.1186/s12879-025-11294-7.
Adverse drug reactions (ADRs) represent a significant global public health concern, contributing substantially to patient morbidity and mortality. While viral load dynamics are known to influence ADRs incidence, this relationship has been insufficiently explored in clinical research. Current evidence is limited by methodological constraints, as most prior studies have analyzed these factors separately rather than employing integrated approaches that account for the endogenous nature of time-varying biomarkers like viral load. Joint modelling techniques offer a robust solution by simultaneously analyzing longitudinal and time-to-event data, providing more efficient and precise estimates of this critical association. This study aimed to determine the incidence and predictors of ADRs and its association with changes in viral load among adult patients on antiretroviral therapy (ART) at Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital (NEMMCSH) of central Ethiopia.
A retrospective follow-up study at NEMMCSH from March 1, 2018 to April 30, 2022 among 376 randomly selected age above 15 years patients who initiated first-line ART and had two or more viral load measurements during follow-up. Data were extracted from medical records and analyzed using joint modeling techniques combining Cox proportional hazards regression with linear mixed effects models. Results are presented as adjusted hazard ratios (aHR) with 95% confidence intervals. Model adequacy was assessed through residual diagnostics, and statistical significance was determined at α = 0.05.
A total of 376 adult patients on ART were followed for a combined 45,752 person-months of observation (median follow-up = 23 months; range: 1-50 months), accounting for variability in enrollment dates and censoring events. Overall, 93 patients (26.70%) developed ADRs with an incidence rate of 14.2 per 1000 person-months observation (95% CI: 13.20-15.40). The ART regimen (AZT/3TC/NVP) (AHR = 2.15: 95% CI: 1.01-4.57), TB co-infection (AHR = 0.79: 95% CI: 0.68-0.87) and ART duration (AHR = 0.96: 95% CI: 0.95-0.97) were significant predictors of ADRs. The time-dependent true value of the viral load log was significantly associated with the risk of adverse drug reaction (α = 1.67: AHR = 5.31: 95% CI: 1.64-7.23).
ADRs among HIV patients continue to be a public health concern. Viral load changes were significant associations with the risk of adverse reactions. To reduce ART adverse reactions, we recommend health professionals closely monitor and follow those patients on ART regimens (AZT/3TC/NVP).
药物不良反应(ADR)是一个重大的全球公共卫生问题,对患者的发病率和死亡率有重大影响。虽然已知病毒载量动态会影响ADR的发生率,但这种关系在临床研究中尚未得到充分探索。目前的证据受到方法学限制,因为大多数先前的研究都是分别分析这些因素,而不是采用综合方法来考虑病毒载量等随时间变化的生物标志物的内源性。联合建模技术通过同时分析纵向数据和事件发生时间数据提供了一个强大的解决方案,能够更有效、精确地估计这一关键关联。本研究旨在确定埃塞俄比亚中部尼吉斯特·埃莱尼·穆罕默德纪念综合专科医院(NEMMCSH)接受抗逆转录病毒治疗(ART)的成年患者中ADR的发生率、预测因素及其与病毒载量变化的关联。
在NEMMCSH进行一项回顾性随访研究,研究对象为2018年3月1日至2022年4月30日期间随机选取的376名年龄在15岁以上、开始一线ART且在随访期间进行了两次或更多次病毒载量测量的患者。数据从医疗记录中提取,并使用结合Cox比例风险回归与线性混合效应模型的联合建模技术进行分析。结果以调整后的风险比(aHR)及95%置信区间表示。通过残差诊断评估模型的充分性,在α = 0.05水平确定统计学显著性。
共对接受ART的376名成年患者进行了总计45752人月的观察(中位随访时间 = 23个月;范围:1 - 50个月),考虑了入组日期和审查事件的变异性。总体而言,93名患者(26.70%)发生了ADR,发病率为每1000人月观察14.2例(95% CI:13.20 - 15.40)。ART方案(AZT/3TC/NVP)(AHR = 2.15:95% CI:1.01 - 4.57)、合并结核病感染(AHR = 0.79:9误% CI:0.68 - 0.87)和ART疗程(AHR = 0.96:95% CI:0.95 - 0.97)是ADR的显著预测因素。病毒载量对数的时间依赖性真实值与药物不良反应风险显著相关(α = 1.67:AHR = 5.31:95% CI:1.64 - 7.23)。
HIV患者中的ADR仍然是一个公共卫生问题。病毒载量变化与不良反应风险显著相关。为减少ART不良反应,我们建议卫生专业人员密切监测并跟踪接受ART方案(AZT/3TC/NVP)治疗的患者。