A multi-criteria decision making approach to identify a vaccine formulation. Issue 2 (3rd March 2016)

• Record Type: Journal Article
• Authors: Dewé, Walthère; Durand, Christelle; Marion, Sandie; Oostvogels, Lidia; Devaster, Jeanne-Marie; Fourneau, Marc
• Is Part Of: Journal of biopharmaceutical statistics. Volume 26:Issue 2(2016)
• Page Start: 352
• Page End: 364
• Publication Date: 2016-03-03
• Subjects: Desirability index -- formulation -- multi-criteria decision-making approach -- optimization -- vaccine; Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2015.1008517
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: This article illustrates the use of a multi-criteria decision making approach, based on desirability functions, to identify an appropriate adjuvant composition for an influenza vaccine to be used in elderly. The proposed adjuvant system contained two main elements: monophosphoryl lipid and α-tocopherol with squalene in an oil/water emulsion. The objective was to elicit a stronger immune response while maintaining an acceptable reactogenicity and safety profile. The study design, the statistical models, the choice of the desirability functions, the computation of the overall desirability index, and the assessment of the robustness of the ranking are all detailed in this manuscript.