Parienti Jean-Jacques, Fournier Anna L, Cotte Laurent, Schneider Marie-Paule, Etienne Manuel, Unal Guillemette, Perré Philippe, Dutheil Jean-Jacques, Morilland-Lecoq Elodie, Chaillot Fabien, Bangsberg David R, Gagneux-Brunon Amandine, Prazuck Thierry, Cavassini Matthias, Verdon Renaud, Hocqueloux Laurent
Department of Infectious Diseases, University Hospital, Caen, France.
EA2656 Groupe de Recherche sur l'Adaptation Microbienne (GRAM 2.0), Université Caen Normandie, Caen, France.
Open Forum Infect Dis. 2021 Jul 1;8(7):ofab316. doi: 10.1093/ofid/ofab316. eCollection 2021 Jul.
For many people with HIV (PWH), taking antiretroviral therapy (ARV) every day is difficult.
Average adherence (Av-Adh) and log-transformed treatment interruption (TI) to ARV were prospectively measured over 6 months using electronic drug monitoring (EDM) in several cohorts of PWH. Multivariate linear regression models including baseline confounders explored the influence of EDM-defined adherence ( ) on 6-month log HIV-RNA. Multivariate logistic regression models were used to compare the risk of HIV-RNA detection (VR) within subgroups stratified by lower (≤95%) and higher (>95%) Av-Adh.
Three hundred ninety-nine PWH were analyzed with different ARVs: dolutegravir (n = 102), raltegravir (n = 90), boosted PI (bPI; n = 107), and NNRTI (n = 100). In the dolutegravir group, the influence of adherence pattern measures on for HIV-RNA levels was marginal (+2%). Av-Adh, TI, and Av-Adh × TI increased the for HIV-RNA levels by 54% and 40% in the raltegravir and bPI treatment groups, respectively. TI increased the for HIV-RNA levels by 36% in the NNRTI treatment group. Compared with the dolutegravir-based regimen, the risk of VR was significantly increased for raltegravir (adjusted odds ratio [aOR], 45.6; 95% CI, 4.5-462.1; = .001), NNRTIs (aOR, 24.8; 95% CI, 2.7-228.4; = .005), and bPIs (aOR, 28.3; 95% CI, 3.4-239.4; = .002) in PWH with Av-Adh ≤95%. Among PWH with >95% Av-Adh, there were no significant differences in the risk of VR among the different ARVs.
These findings support the concept that dolutegravir in combination with 2 other active ARVs achieves greater virological suppression than older ARVs, including raltegravir, NNRTI, and bPI, among PWH with lower adherence.
对于许多感染艾滋病毒的人(PWH)来说,每天服用抗逆转录病毒疗法(ARV)很困难。
在几组感染艾滋病毒的人中,使用电子药物监测(EDM)在6个月内前瞻性地测量了抗逆转录病毒疗法的平均依从性(Av-Adh)和对数转换后的治疗中断(TI)情况。包括基线混杂因素的多变量线性回归模型探讨了EDM定义的依从性( )对6个月时艾滋病毒RNA对数的影响。多变量逻辑回归模型用于比较在平均依从性较低(≤95%)和较高(>95%)分层的亚组中艾滋病毒RNA检测(VR)的风险。
对399例使用不同抗逆转录病毒药物的感染艾滋病毒的人进行了分析:多替拉韦(n = 102)、拉替拉韦(n = 90)、增强型蛋白酶抑制剂(bPI;n = 107)和非核苷类逆转录酶抑制剂(NNRTI;n = 100)。在多替拉韦组中,依从性模式测量对艾滋病毒RNA水平的 的影响很小(+2%)。在拉替拉韦和bPI治疗组中,平均依从性、治疗中断以及平均依从性×治疗中断分别使艾滋病毒RNA水平的 增加了54%和40%。在NNRTI治疗组中,治疗中断使艾滋病毒RNA水平的 增加了36%。与基于多替拉韦的治疗方案相比,在平均依从性≤95%的感染艾滋病毒的人中,拉替拉韦(调整后的优势比[aOR],45.6;95%置信区间,4.5 - 462.1; = 0.001)、非核苷类逆转录酶抑制剂(aOR,24.8;95%置信区间,2.7 - 228.4; = 0.005)和增强型蛋白酶抑制剂(aOR,28.3;95%置信区间,3.4 - 239.4; = 0.002)的艾滋病毒RNA检测风险显著增加。在平均依从性>95%的感染艾滋病毒的人中,不同抗逆转录病毒药物之间的艾滋病毒RNA检测风险没有显著差异。
这些发现支持了这样一种观念,即在依从性较低的感染艾滋病毒的人中,多替拉韦与其他两种活性抗逆转录病毒药物联合使用比包括拉替拉韦、非核苷类逆转录酶抑制剂和增强型蛋白酶抑制剂在内的旧抗逆转录病毒药物能实现更强的病毒学抑制。