Johnson Leigh F, Estill Janne, Keiser Olivia, Cornell Morna, Moolla Haroon, Schomaker Michael, Grimsrud Anna, Davies Mary-Ann, Boulle Andrew
Am J Epidemiol. 2014 Dec 15;180(12):1208-12. doi: 10.1093/aje/kwu295. Epub 2014 Nov 15.
In several studies of antiretroviral treatment (ART) programs for persons with human immunodeficiency virus infection, investigators have reported that there has been a higher rate of loss to follow-up (LTFU) among patients initiating ART in recent years than among patients who initiated ART during earlier time periods. This finding is frequently interpreted as reflecting deterioration of patient retention in the face of increasing patient loads. However, in this paper we demonstrate by simulation that transient gaps in follow-up could lead to bias when standard survival analysis techniques are applied. We created a simulated cohort of patients with different dates of ART initiation. Rates of ART interruption, ART resumption, and mortality were assumed to remain constant over time, but when we applied a standard definition of LTFU, the simulated probability of being classified LTFU at a particular ART duration was substantially higher in recently enrolled cohorts. This suggests that much of the apparent trend towards increased LTFU may be attributed to bias caused by transient interruptions in care. Alternative statistical techniques need to be used when analyzing predictors of LTFU--for example, using "prospective" definitions of LTFU in place of "retrospective" definitions. Similar considerations may apply when analyzing predictors of LTFU from treatment programs for other chronic diseases.
在几项针对感染人类免疫缺陷病毒者的抗逆转录病毒治疗(ART)项目研究中,研究人员报告称,近年来开始接受ART治疗的患者失访率高于早期接受ART治疗的患者。这一发现常被解释为反映了在患者数量增加的情况下患者留存率的下降。然而,在本文中,我们通过模拟证明,当应用标准生存分析技术时,随访中的短暂间隙可能会导致偏差。我们创建了一个具有不同ART起始日期的模拟队列。假设ART中断率、ART恢复率和死亡率随时间保持不变,但当我们应用失访的标准定义时,在特定ART疗程中被归类为失访的模拟概率在最近入组的队列中要高得多。这表明,失访率增加的明显趋势很大程度上可能归因于护理中的短暂中断所导致的偏差。在分析失访的预测因素时需要使用替代统计技术——例如,使用失访的“前瞻性”定义而非“回顾性”定义。在分析其他慢性病治疗项目中失访的预测因素时,可能也适用类似的考量。