Data First Consulting, Sebastopol, California, USA.
Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Clin Pharmacol Ther. 2023 Jul;114(1):29-40. doi: 10.1002/cpt.2830. Epub 2023 Jan 5.
Standard-of-care HIV pre-exposure prophylaxis (PrEP) is highly efficacious, but uptake of and persistence on a daily oral pill is low in many settings. Evaluation of alternate PrEP products will require innovation to avoid the unpractically large sample sizes in noninferiority trials. We propose estimating HIV incidence in people not on PrEP as an external counterfactual to which on-PrEP incidence in trial subjects can be compared. HIV recent infection testing algorithms (RITAs), such as the limiting antigen avidity assay plus viral load used on specimens from untreated HIV positive people identified during screening, is one possible approach. Its feasibility is partly dependent on the sample size needed to ensure adequate power, which is impacted by RITA performance, the number of recent infections identified, the expected efficacy of the intervention, and other factors. Screening sample sizes to support detection of an 80% reduction in incidence for 3 key populations are more modest, and comparable to the number of participants in recent phase III PrEP trials. Sample sizes would be significantly larger in populations with lower incidence, where the false recency rate is higher or if PrEP efficacy is expected to be lower. Our proposed counterfactual approach appears to be feasible, offers high statistical power, and is nearly contemporaneous with the on-PrEP population. It will be important to monitor the performance of this approach during new product development for HIV prevention. If successful, it could be a model for preventive HIV vaccines and prevention of other infectious diseases.
标准的艾滋病毒暴露前预防(PrEP)非常有效,但在许多情况下,每日口服药丸的使用率和持续率都很低。评估替代 PrEP 产品需要创新,以避免非劣效性试验中不切实际的大样本量。我们建议将未接受 PrEP 人群中的艾滋病毒发病率作为外部对照,用于比较试验对象的 PrEP 前发病率。HIV 近期感染检测算法(RITA),如用于筛查期间未接受治疗的 HIV 阳性人群标本的有限抗原亲和力测定加病毒载量,是一种可能的方法。其可行性部分取决于为确保足够的功效所需的样本量,而功效则受到 RITA 性能、鉴定出的近期感染数量、干预措施的预期疗效以及其他因素的影响。为支持检测 3 个关键人群发病率降低 80%而进行的筛查样本量相对较小,与最近的 III 期 PrEP 试验的参与者数量相当。在发病率较低的人群中,或如果预期 PrEP 疗效较低,则样本量会显著增大,其中近期感染的假阳性率更高。我们提出的这种对照方法似乎是可行的,提供了很高的统计功效,并且几乎与 PrEP 人群同时进行。在开发新的 HIV 预防产品时,监测这种方法的性能非常重要。如果成功,它可能成为预防 HIV 疫苗和预防其他传染病的模型。