Key result
Adding immune correlates to time-to-event models improves vaccine efficacy precision vs standard case counts.
Why the study?
Evaluating vaccine efficacy across demographic subgroups in phase 2b or 3 trials is challenging due to lack of precision, as trials are typically designed to demonstrate overall efficacy rather than differentiate values between subgroups.
Does using immunogenicity-based estimation in time-to-event models improve precision in estimating vaccine efficacy compared to standard estimation?
Does using immunogenicity-based estimation in time-to-event models improve precision in estimating vaccine efficacy compared to standard estimation?
Incorporating immune correlate data in time-to-event models improves precision in estimating vaccine efficacy, which can assist in making informed public health decisions.
Enhances precision of subgroup vaccine efficacy estimates for public health decisions; extends immune correlate integration in time-to-event models.
Understanding potential differences in vaccine-induced protection between demographic subgroups is key for vaccine development. Vaccine efficacy evaluation across these subgroups in phase 2b or 3 clinical trials presents challenges due to lack of precision: such trials are typically designed to demonstrate overall efficacy rather than to differentiate its value between subgroups. This study proposes a method for estimating vaccine efficacy using immunogenicity (instead of vaccination status) as a predictor in time-to-event models. The method is applied to two datasets from immunogenicity sub-studies of vaccine phase 3 clinical trials for zoster and dengue vaccines. Results show that using immunogenicity-based estimation of efficacy in subgroups using time-to-event models is more precise than the standard estimation. Incorporating immune correlate data in time-to-event models improves precision in estimating efficacy (i.e., yields narrower confidence intervals), which can assist vaccine developers and public health authorities in making informed decisions.
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Dudášová et al. (2024) studied Herpes Zoster and Dengue (n=1,937). Immunogenicity-based vaccine efficacy estimation using time-to-event models vs. Standard case-count-based vaccine efficacy estimation was evaluated on Precision of vaccine efficacy (VE) estimates (confidence interval width). Incorporating immune correlate data in time-to-event models improved the precision of vaccine efficacy estimates in demographic subgroups, yielding substantially narrower confidence intervals compared to standard case-count-based estimation.
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