Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA.
Department of Biostatistics, Collaborative Studies Coordinating Center, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
J Acquir Immune Defic Syndr. 2023 Mar 1;92(3):231-241. doi: 10.1097/QAI.0000000000003126.
Youth living with HIV in the US have low rates of viral suppression, in part because of challenges with antiretroviral therapy adherence.
Daily dosing in the Adolescent Medicine Trials Network for HIV/AIDS Interventions 152 study, a randomized controlled trial of a 12-week adherence intervention (triggered escalating real-time adherence intervention) for viremic youth, compared with standard of care (SOC), was measured by electronic dose monitoring (EDM) throughout 48 weeks of follow-up. EDM data collected over the first 24 weeks were used to characterize patterns of antiretroviral therapy adherence with group-based trajectory models.
Four trajectory groups were identified among the 85 participants included in the analysis during the intervention phase of the study: (Worst) no interaction with EDM, (Declining) initially moderate EDM-based adherence followed by steep declines, (Good) initially high EDM-based adherence with modest declines, and (Best) consistently high EDM-based adherence. Being in the SOC arm, not being in school, higher evasiveness and panic decision-making scores, and lower adherence motivation were associated with higher odds of being in a worse trajectory group ( P < 0.05). A general decline in dosing was observed in the 12 weeks postintervention, when all participants were managed using SOC.
Use of group-based trajectory models allowed a more nuanced understanding of EDM-based adherence over time compared with collapsed summary measures. In addition to the study intervention, other factors influencing EDM-based adherence included being in school, decision-making styles, and adherence-related motivation. This information can be used to design better intervention services for youth living with HIV.
美国的 HIV 青少年患者病毒抑制率较低,部分原因是抗逆转录病毒治疗的依从性存在挑战。
在一项针对病毒血症青少年的为期 12 周的依从性干预(触发递增实时依从性干预)的随机对照试验——青少年医学试验网络艾滋病干预试验 152 中,通过电子剂量监测(EDM)测量每日剂量,比较接受依非韦伦、替诺福韦和恩曲他滨(EFV/TDF/FTC)方案治疗的青少年患者,与标准护理(SOC)相比,在为期 48 周的随访中,通过电子剂量监测(EDM)测量每日剂量。在研究的干预阶段,对 85 名参与者的前 24 周 EDM 数据进行分析,用于使用基于群组的轨迹模型描述抗逆转录病毒治疗依从性模式。
在研究的干预阶段,对 85 名参与者的前 24 周 EDM 数据进行分析,发现有 4 个轨迹组:(最差)与 EDM 无交互作用;(下降)最初的 EDM 依从性中等,随后急剧下降;(良好)最初的 EDM 依从性高,随后略有下降;(最佳)始终保持较高的 EDM 依从性。SOC 组、未上学、较高的逃避和恐慌决策评分以及较低的依从动机与较差轨迹组的较高比值比相关(P<0.05)。在干预结束后的 12 周内,当所有参与者均采用 SOC 管理时,观察到剂量普遍下降。
与综合摘要测量相比,使用基于群组的轨迹模型可以更细致地了解随时间推移的 EDM 依从性。除了研究干预外,影响 EDM 依从性的其他因素还包括是否上学、决策风格和与依从性相关的动机。这些信息可用于为 HIV 青少年患者设计更好的干预服务。