Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, F-75018 Paris, France.
Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, Laboratoire de Virologie, F-75013 Paris, France.
J Antimicrob Chemother. 2021 Oct 11;76(11):2983-2987. doi: 10.1093/jac/dkab161.
Multivariable baseline factor analysis across cabotegravir + rilpivirine clinical trials showed that HIV-1 subtypes A6/A1 and the presence of rilpivirine resistance-associated mutations (RAMs) were associated with an increased risk of virological failure of this dual therapy. The aim of this study was to describe the prevalence of genotypic baseline risk factors for cabotegravir + rilpivirine failure among ARV-naive patients.
From 2010 to 2020, 4212 sequences from ARV-naive patients were collected from three large Parisian academic hospital genotypic databases. Cabotegravir and rilpivirine RAMs were defined according to the ANRS algorithm.
Among 4212 ARV-naive patients, 38.6% were infected with subtype B, 32.4% with CRF02_AG (32.4%) and 5.1% with subtype A (85.5% being A6/A1 subtype). Overall, the presence of at least one cabotegravir or rilpivirine RAM was 16.2% and 14.3%, respectively. Considering genotypic resistance interpretation, using the ANRS algorithm, 0.74% (n = 31), 6.2% (n = 261) and 0.09% (n = 4) of sequences were resistant to cabotegravir, rilpivirine or both, respectively. The overall prevalence of L74I in integrase and E138A in RT was 13.0% and 3.2%, respectively, and stable over the decade. Thus, adding 183 subtype A6/A1 sequences to 244 sequences interpreted as resistant to rilpivirine led to 427 (10.1%) sequences combining both baseline virological risk factors for cabotegravir + rilpivirine dual-therapy failure.
Among large sequence databases, when adding prevalence of rilpivirine-resistant viruses and HIV-1 subtype A6/A1 sequences, 10.1% of patients would not be eligible for cabotegravir + rilpivirine dual therapy. These data re-emphasize the need for a pre-therapeutic genotypic resistance test to detect polymorphisms and transmitted drug resistance and to define HIV-1 subtype.
卡替拉韦+利匹韦林的多项临床试验的多变量基线因素分析表明,HIV-1 亚型 A6/A1 和利匹韦林耐药相关突变(RAM)的存在与这种双重疗法病毒学失败的风险增加相关。本研究的目的是描述初治患者中卡替拉韦+利匹韦林失败的基因型基线危险因素的流行率。
2010 年至 2020 年,从巴黎三所大型学术医院的两个基因数据库中收集了 4212 例初治患者的序列。根据 ANRS 算法定义卡替拉韦和利匹韦林 RAM。
在 4212 例初治患者中,38.6%感染了 B 亚型,32.4%感染了 CRF02_AG(32.4%),5.1%感染了 A 亚型(85.5%为 A6/A1 亚型)。总体而言,至少存在一种卡替拉韦或利匹韦林 RAM 的比例分别为 16.2%和 14.3%。考虑到基因耐药性解释,使用 ANRS 算法,分别有 0.74%(n=31)、6.2%(n=261)和 0.09%(n=4)的序列对卡替拉韦、利匹韦林或两者均耐药。总体而言,整合酶中的 L74I 和 RT 中的 E138A 的流行率分别为 13.0%和 3.2%,且在这十年中保持稳定。因此,在 244 例被解释为对利匹韦林耐药的序列中加入 183 例 A6/A1 亚型序列,导致 427 例(10.1%)序列同时存在卡替拉韦+利匹韦林双重治疗失败的两种基线病毒学危险因素。
在大型序列数据库中,当添加利匹韦林耐药病毒和 HIV-1 亚型 A6/A1 序列的流行率时,10.1%的患者不适合卡替拉韦+利匹韦林双重治疗。这些数据再次强调了进行治疗前基因耐药性检测的必要性,以检测多态性和传播耐药性,并确定 HIV-1 亚型。