Mathews W Christopher, Mar-Tang Moira, Ballard Craig, Colwell Brad, Abulhosn Kari, Noonan Craig, Barber R Edward, Wall Tamara L
Department of Medicine, University of California, San Diego, California 92103, USA.
AIDS Patient Care STDS. 2002 Apr;16(4):157-72. doi: 10.1089/10872910252930867.
The objectives of this research were to assess prevalence and predictors of early antiretroviral therapy adherence using multiple indicators and to estimate effects of early adherence on subsequent HIV viral load and CD4+ lymphocyte responses. Study subjects were adults with HIV infection referred to an antiretroviral therapy-monitoring clinic for initiation or change in therapy between March 1998 and June 1999. The design was a prospective observational cohort involving baseline interview followed by 30 days of electronic adherence monitoring (MEMS), 30-day interview, and follow-up viral load at 1, 3, and 6 months. Adherence indicators included MEMS therapeutic coverage, observed/expected cap openings, and self-reported adherence assessed at 30 days. Of 235 consenting patients, 60 (26%) failed to complete 30 days of electronic monitoring (noncompleters). At 6 months, mean change from baseline plasma viral load was inferior among noncompleters (0.5 log vs. 1.7 log). Predictors of adherence, varying by adherence metric, included: gender, race, prior antiretroviral therapy experience, substance abuse, prior adherence behavior, health beliefs, and pharmacist prediction of adherence. Self-reported adherence was more sensitive in predicting viral load responses than MEMS-based measures and identified poor adherence at earlier time points. Approximately a quarter of consenting patients were unable to complete 30 days of MEMS monitoring, and early drop out was a poor prognostic sign. Predictors of adherence varied depending upon how adherence was measured. Differences in virologic response between patients with optimal or poor adherence may not emerge until several months after regimen change or initiation. Structured assessment of self-reported adherence is an inexpensive and useful tool to assist clinicians in monitoring adherence.
本研究的目的是使用多种指标评估早期抗逆转录病毒治疗依从性的患病率和预测因素,并估计早期依从性对后续HIV病毒载量和CD4 +淋巴细胞反应的影响。研究对象为1998年3月至1999年6月期间转诊至抗逆转录病毒治疗监测诊所开始治疗或改变治疗方案的成年HIV感染者。研究设计为前瞻性观察队列,包括基线访谈,随后进行30天的电子依从性监测(MEMS)、30天访谈以及1、3和6个月时的随访病毒载量。依从性指标包括MEMS治疗覆盖率、观察到的/预期的瓶盖开启次数以及30天时自我报告的依从性。在235名同意参与的患者中,60名(26%)未能完成30天的电子监测(未完成者)。在6个月时,未完成者的血浆病毒载量相对于基线的平均变化较小(0.5 log对1.7 log)。依从性的预测因素因依从性指标而异,包括:性别、种族、既往抗逆转录病毒治疗经验、药物滥用、既往依从行为、健康观念以及药剂师对依从性的预测。自我报告的依从性在预测病毒载量反应方面比基于MEMS的测量方法更敏感,并且能在更早的时间点识别出依从性差的情况。约四分之一同意参与的患者无法完成30天的MEMS监测,早期退出是一个不良的预后迹象。依从性的预测因素因依从性测量方式的不同而有所差异。在治疗方案改变或开始后的几个月内,依从性最佳或最差的患者之间的病毒学反应差异可能才会显现。自我报告依从性的结构化评估是一种廉价且有用的工具,可协助临床医生监测依从性。