Article ID Journal Published Year Pages File Type
2403672 Vaccine 2012 6 Pages PDF
Abstract

IntroductionThe estimation of herpes zoster (HZ) vaccine efficacy by time since vaccination and age at vaccination is crucial to assess the effectiveness and cost-effectiveness of HZ vaccination. Published estimates for the duration of protection from the vaccine diverge substantially, although based on data from the same trial for a follow-up period of 5 years. Different models were used to obtain these estimates, but it is unclear which of these models is most appropriate (if any). Only one study estimated vaccine efficacy by age at vaccination and time since vaccination combined. Recently, data became available from the same trial for a follow-up period of 7 years.Aim and methodsWe aim to elaborate on estimating HZ vaccine efficacy (1) by estimating it as a function of time since vaccination and age at vaccination, (2) by comparing the fits of a range of models, and (3) by fitting these models on data for a follow-up period of 5 and 7 years.ResultsAlthough the models’ fit to data are very comparable, they differ substantially in how they estimate vaccine efficacy to change as a function of time since vaccination and age at vaccination.DiscussionAn accurate estimation of HZ vaccine efficacy by time since vaccination and age at vaccination is hampered by the lack of insight in the biological processes underlying HZ vaccine protection, and by the fact that such data are currently not available in sufficient detail. Uncertainty about the choice of model to estimate this important parameter should be acknowledged in cost-effectiveness analyses.

► 7 statistical models to estimate waning of herpes zoster vaccine efficacy. ► 6 models to estimate herpes zoster vaccine efficacy by age at vaccination. ► Models’ fit to data are very comparable. ► Models’ estimates for waning and efficacy by age at vaccination differ markedly. ► Model uncertainty should be accounted for in cost-effectiveness analyses.

Related Topics
Life Sciences Immunology and Microbiology Immunology
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