Hardnett Felicia P, Rose Charles E
Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention , Atlanta, GA, USA.
HIV Clin Trials. 2015 Nov;16(6):219-27. doi: 10.1080/15284336.2015.1123944. Epub 2015 Dec 12.
In recent HIV intervention trials, intervention efficacies appear to decline over time. Researchers have attributed this to "waning," or a loss of intervention efficacy. Another possible reason is heterogeneity in infection risk or "frailty." We propose an approach to assessing the impact of frailty and waning on measures of intervention efficacy and statistical power in randomized-controlled trials.
Using multiplicative risk reduction, we developed a mathematical formulation for computing disease incidence and the incidence rate ratio (IRR) as a function of frailty and waning. We designed study scenarios, which held study-related factors constant, varied waning and frailty parameters and measured the change in disease incidence, IRR, and statistical power.
We found that frailty alone can impact disease incidence over time. However, frailty has minimal impact on the IRR. The factor that has the greatest influence on the IRR is intervention efficacy and the degree to which it is projected to wane. We also found that even moderate waning can cause an unacceptable decrease in statistical power while the impact of frailty on statistical power is minimal.
We conclude that frailty has minimal impact on trial results relative to intervention efficacy. Study resources would, therefore, be better spent on efforts to keep the intervention efficacy constant throughout the trial (e.g., enhancing the vaccine schedule or promoting treatment adherence).
在近期的HIV干预试验中,干预效果似乎会随时间下降。研究人员将此归因于“减弱”,即干预效果的丧失。另一个可能的原因是感染风险的异质性或“脆弱性”。我们提出一种方法,用于评估脆弱性和减弱对随机对照试验中干预效果测量指标和统计功效的影响。
利用风险降低倍数,我们开发了一种数学公式,用于计算疾病发病率和发病率比(IRR),作为脆弱性和减弱的函数。我们设计了研究场景,保持与研究相关的因素不变,改变减弱和脆弱性参数,并测量疾病发病率、IRR和统计功效的变化。
我们发现,仅脆弱性本身就会随时间影响疾病发病率。然而,脆弱性对IRR的影响最小。对IRR影响最大的因素是干预效果及其预计减弱的程度。我们还发现,即使是适度的减弱也会导致统计功效出现不可接受的下降,而脆弱性对统计功效的影响最小。
我们得出结论,相对于干预效果,脆弱性对试验结果的影响最小。因此,研究资源最好用于在整个试验过程中保持干预效果恒定的努力上(例如,加强疫苗接种计划或促进治疗依从性)。