Division of International and Environmental Health, Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
PLoS One. 2011;6(12):e27919. doi: 10.1371/journal.pone.0027919. Epub 2011 Dec 19.
Loss to follow-up (LTFU) is common in antiretroviral therapy (ART) programmes. Mortality is a competing risk (CR) for LTFU; however, it is often overlooked in cohort analyses. We examined how the CR of death affected LTFU estimates in Zambia and Switzerland.
HIV-infected patients aged ≥18 years who started ART 2004-2008 in observational cohorts in Zambia and Switzerland were included. We compared standard Kaplan-Meier curves with CR cumulative incidence. We calculated hazard ratios for LTFU across CD4 cell count strata using cause-specific Cox models, or Fine and Gray subdistribution models, adjusting for age, gender, body mass index and clinical stage. 89,339 patients from Zambia and 1,860 patients from Switzerland were included. 12,237 patients (13.7%) in Zambia and 129 patients (6.9%) in Switzerland were LTFU and 8,498 (9.5%) and 29 patients (1.6%), respectively, died. In Zambia, the probability of LTFU was overestimated in Kaplan-Meier curves: estimates at 3.5 years were 29.3% for patients starting ART with CD4 cells <100 cells/µl and 15.4% among patients starting with ≥ 350 cells/µL. The estimates from CR cumulative incidence were 22.9% and 13.6%, respectively. Little difference was found between naïve and CR analyses in Switzerland since only few patients died. The results from Cox and Fine and Gray models were similar: in Zambia the risk of loss to follow-up and death increased with decreasing CD4 counts at the start of ART, whereas in Switzerland there was a trend in the opposite direction, with patients with higher CD4 cell counts more likely to be lost to follow-up.
In ART programmes in low-income settings the competing risk of death can substantially bias standard analyses of LTFU. The CD4 cell count and other prognostic factors may be differentially associated with LTFU in low-income and high-income settings.
失访(LTFU)在抗逆转录病毒疗法(ART)项目中很常见。死亡是 LTFU 的竞争风险(CR);然而,在队列分析中经常被忽视。我们研究了死亡的 CR 如何影响赞比亚和瑞士的 LTFU 估计。
纳入了 2004-2008 年在赞比亚和瑞士观察队列中开始接受 ART 的年龄≥18 岁的 HIV 感染患者。我们将标准的 Kaplan-Meier 曲线与 CR 累积发生率进行了比较。我们使用基于死因的 Cox 模型或 Fine 和 Gray 亚分布模型,根据年龄、性别、体重指数和临床分期,计算了 CD4 细胞计数分层的 LTFU 风险比。共纳入来自赞比亚的 89339 名患者和来自瑞士的 1860 名患者。在赞比亚,12237 名患者(13.7%)失访,8498 名患者(9.5%)死亡;在瑞士,129 名患者(6.9%)失访,29 名患者(1.6%)死亡。在赞比亚,Kaplan-Meier 曲线高估了 LTFU 的概率:在开始接受 CD4 细胞<100 个/µl 的患者中,3.5 年时的估计值为 29.3%,而在开始接受≥350 个/µl 的患者中,估计值为 15.4%。CR 累积发生率的估计值分别为 22.9%和 13.6%。由于死亡患者较少,在瑞士,分析中未发现天真与 CR 之间的差异。Cox 和 Fine 和 Gray 模型的结果相似:在赞比亚,开始接受 ART 时 CD4 计数越低,失访和死亡的风险就越高,而在瑞士,情况则相反,CD4 细胞计数较高的患者更有可能失访。
在低收入国家的 ART 项目中,死亡的竞争风险可能会大大影响 LTFU 的标准分析。CD4 细胞计数和其他预后因素可能与低收入和高收入环境中的 LTFU 有不同的关联。