Multivariate analysis of factors affecting the immunogenicity of trivalent inactivated influenza vaccine in school-age children

• Published in: Epidemiology and infection Vol. 143; no. 3; pp. 540 - 549
• Main Authors: FREEMAN, G., NG, S., PERERA, R. A. P. M., FANG, V. J., IP, D. K. M., LEUNG, G. M., PEIRIS, J. S. M., COWLING, B. J.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.02.2015
• Subjects: Adolescent; Age; Antibodies; Antibodies, Viral - blood; Child; Female; Hemagglutination Inhibition Tests; Hong Kong; Humans; Immunisation; Immunization; Infections; Influenza; Influenza A Virus, H1N1 Subtype - immunology; Influenza A Virus, H3N2 Subtype - immunology; Influenza B virus - immunology; Influenza Vaccines - administration & dosage; Influenza Vaccines - immunology; Influenza, Human - prevention & control; Male; Multivariate Analysis; Normal distribution; Original Papers; Pandemics; Seasons; Vaccines; Vaccines, Inactivated - administration & dosage; Vaccines, Inactivated - immunology; Hong Kong; Hong Kong China; China; China, People's Rep., Hong Kong; influenza; Immunization (vaccination); serology; statistics
• ISSN: 0950-2688; 1469-4409
• DOI: 10.1017/S0950268814000855

We examined factors affecting the immunogenicity of trivalent inactivated influenza vaccination (TIV) in children using the antibody titres of children participating in a Hong Kong community-based study. Antibody titres of strains included in the 2009–2010 northern hemisphere TIV [seasonal A(H1N1), seasonal A(H3N2) and B (Victoria lineage)] and those not included in the TIV [2009 pandemic A(H1N1) and B (Yamagata lineage)] were measured by haemagglutination inhibition immediately before and 1 month after vaccination. Multivariate regression models were fitted in a Bayesian framework to characterize the distribution of changes in antibody titres following vaccination. Statistically significant rises in geometric mean antibody titres were observed against all strains, with a wide variety of standard deviations and correlations in rises observed, with the influenza type B antibodies showing more variability than the type A antibodies. The dynamics of antibody titres after vaccination can be used in more complex models of antibody dynamics in populations.