Lancet HIV. 2019 Feb;6(2):e105-e115. doi: 10.1016/S2352-3018(18)30319-9.
Estimates of incidence of switching to second-line antiretroviral therapy (ART) among children with HIV are necessary to inform the need for paediatric second-line formulations. We aimed to quantify the cumulative incidence of switching to second-line ART among children in an international cohort collaboration.
In this international cohort collaboration study, we pooled individual patient-level data for children younger than 18 years who initiated ART (two or more nucleoside reverse-transcriptase inhibitors [NRTI] plus a non-NRTI [NNRTI] or boosted protease inhibitor) between 1993 and 2015 from 12 observational cohort networks in the Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) Global Cohort Collaboration. Patients who were reported to be horizontally infected with HIV and those who were enrolled in trials of treatment monitoring, switching, or interruption strategies were excluded. Switch to second-line ART was defined as change of one or more NRTI plus either change in drug class (NNRTI to protease inhibitor or vice versa) or protease inhibitor change, change from single to dual protease inhibitor, or addition of a new drug class. We used cumulative incidence curves to assess time to switching, and multivariable proportional hazards models to explore patient-level and cohort-level factors associated with switching, with death and loss to follow-up as competing risks.
At the data cutoff of Sept 16, 2015, 182 747 children with HIV were included in the CIPHER dataset, of whom 93 351 were eligible, with 83 984 (90·0%) from sub-Saharan Africa. At ART initiation, the median patient age was 3·9 years (IQR 1·6-6·9) and 82 885 (88·8%) patients initiated NNRTI-based and 10 466 (11·2%) initiated protease inhibitor-based regimens. Median duration of follow-up after ART initiation was 26 months (IQR 9-52). 3883 (4·2%) patients switched to second-line ART after a median of 35 months (IQR 20-57) of ART. The cumulative incidence of switching at 3 years was 3·1% (95% CI 3·0-3·2), but this estimate varied widely depending on the cohort monitoring strategy, from 6·8% (6·5-7·2) in settings with routine monitoring of CD4 (CD4% or CD4 count) and viral load to 0·8% (0·6-1·0) in settings with clinical only monitoring. In multivariable analyses, patient-level factors associated with an increased likelihood of switching were male sex, older age at ART initiation, and initial NNRTI-based regimen (p<0·0001). Cohort-level factors that increased the likelihood of switching were higher-income country (p=0·0017) and routine or targeted monitoring of CD4 and viral load (p<0·0001), which was associated with a 166% increase in likelihood of switching compared with CD4 only monitoring (subdistributional hazard ratio 2·66, 95% CI 2·22-3·19).
Our global paediatric analysis found wide variations in the incidence of switching to second-line ART across monitoring strategies. These findings suggest the scale-up of viral load monitoring would probably increase demand for paediatric second-line ART formulations.
International AIDS Society-CIPHER.
估算儿童艾滋病毒患者转换二线抗逆转录病毒疗法(ART)的发生率,对于了解儿科二线制剂的需求非常重要。我们旨在通过国际队列合作来量化儿童中转换二线 ART 的累积发生率。
在这项国际队列合作研究中,我们汇集了来自 CIPHER 全球队列合作中的 12 个观察队列网络的数据,这些数据来自 1993 年至 2015 年间年龄在 18 岁以下开始接受 ART(两种或两种以上核苷逆转录酶抑制剂 [NRTI] 加非核苷逆转录酶抑制剂 [NNRTI] 或增效蛋白酶抑制剂)的儿童的个体患者水平数据。报告的水平感染 HIV 的患者和参与治疗监测、转换或中断策略试验的患者被排除在外。二线 ART 的转换定义为一种或多种 NRTI 的改变,或者药物类别改变(NNRTI 转为蛋白酶抑制剂或反之亦然),或者蛋白酶抑制剂的改变,从单一蛋白酶抑制剂变为双重蛋白酶抑制剂,或添加新的药物类别。我们使用累积发生率曲线来评估转换时间,使用多变量比例风险模型来探索与转换相关的患者水平和队列水平因素,以死亡和失访为竞争风险。
在 2015 年 9 月 16 日的数据截止日期,CIPHER 数据集中纳入了 182747 名 HIV 感染儿童,其中 93351 名符合条件,其中 82885 名(88.8%)来自撒哈拉以南非洲。在开始 ART 时,患者的中位年龄为 3.9 岁(IQR 1.6-6.9),82885 名(88.8%)患者接受 NNRTI 为基础的方案,10466 名(11.2%)患者接受蛋白酶抑制剂为基础的方案。开始 ART 后中位随访时间为 26 个月(IQR 9-52)。3883 名(4.2%)患者在接受 ART 治疗 35 个月(IQR 20-57)后转换为二线 ART。3 年时转换为二线 ART 的累积发生率为 3.1%(95%CI 3.0-3.2),但这一估计值因监测策略的不同而有很大差异,从常规监测 CD4(CD4%或 CD4 计数)和病毒载量的设置中的 6.8%(6.5-7.2)到仅进行临床监测的设置中的 0.8%(0.6-1.0)。多变量分析显示,与转换可能性增加相关的患者水平因素包括男性、ART 起始时年龄较大和初始 NNRTI 为基础的方案(p<0.0001)。与转换可能性增加相关的队列水平因素包括高收入国家(p=0.0017)和常规或靶向监测 CD4 和病毒载量(p<0.0001),与仅监测 CD4 相比,转换的可能性增加了 166%(亚分布风险比 2.66,95%CI 2.22-3.19)。
我们的全球儿科分析发现,在监测策略方面,转换为二线 ART 的发生率存在广泛差异。这些发现表明,病毒载量监测的扩大可能会增加对儿科二线制剂的需求。
国际艾滋病协会-CIPHER。