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A new endpoint definition improved clinical relevance and statistical power in a vaccine trial.: New endpoint formulation for vaccine trials

Authors :
Rodolphe Thiébaut
Philippe Lesprit
Yves Levy
Geneviève Chêne
Bernard Fritzell
Gaëlle Pédrono
Ahmadou Alioum
Epidémiologie et Biostatistique [Bordeaux]
Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED)
Université Bordeaux Segalen - Bordeaux 2
Hôpital Henri Mondor
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)
Wyeth-research
Wyeth
Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Université Bordeaux Segalen - Bordeaux 2
Source :
Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2009, 62 (10), pp.1054-61. ⟨10.1016/j.jclinepi.2008.10.014⟩
Publication Year :
2009
Publisher :
HAL CCSD, 2009.

Abstract

International audience; OBJECTIVE: Endpoints used for the evaluation of immunogenicity in vaccine trials are often the proportion of individuals with immune response or geometric means of antibody concentrations for each serotype. When a vaccine includes several types of the same species, we illustrate how an endpoint combining all responses may improve clinical relevance and statistical power. STUDY DESIGN AND SETTINGS: The motivating example was the ANRS 114 Pneumovac trial where the effect of two vaccine strategies against Streptococcus pneumoniae was assessed in adults infected by the Human Immunodeficiency Virus. The power associated with several endpoints was calculated in the example and in simulations. A new endpoint based on four ordered levels is formulated and analyzed by using a proportional odds model. RESULTS AND CONCLUSION: The analysis of this new endpoint led to an odds ratio allowing detection of improvement and detriment. In the simulation study, this endpoint was associated with the largest statistical power by increasing the amount of information used as compared with usual endpoints. We recommend this new endpoint formulation in the formal development of a new vaccination regimen, whenever applicable.

Details

Language :
English
ISSN :
08954356
Database :
OpenAIRE
Journal :
Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2009, 62 (10), pp.1054-61. ⟨10.1016/j.jclinepi.2008.10.014⟩
Accession number :
edsair.doi.dedup.....43b8a29a52afbd0f6b773796c12a9c9e