Effectiveness of adjuvanted influenza vaccination in elderly subjects in northern Italy

Salvatore Mannino, Marco Villa, Giovanni Apolone, Noel S Weiss, Nicola Groth, Ivana Aquino, Liana Boldori, Fausta Caramaschi, Antonio Gattinoni, Giancarlo Malchiodi, Kenneth J Rothman, Salvatore Mannino, Marco Villa, Giovanni Apolone, Noel S Weiss, Nicola Groth, Ivana Aquino, Liana Boldori, Fausta Caramaschi, Antonio Gattinoni, Giancarlo Malchiodi, Kenneth J Rothman

Abstract

Although vaccination against influenza is recommended for elderly and high-risk patients in many countries, efficacy in the elderly has been suboptimal. The MF59 adjuvanted trivalent inactivated vaccine (ATIV) was developed to increase the immune response of elderly subjects to influenza vaccination, but its effectiveness has not yet been well documented. This prospective, observational study evaluated the relative effectiveness of ATIV versus nonadjuvanted trivalent inactivated vaccine (TIV) in individuals at least 65 years of age in Lombardy, northern Italy. Hospitalizations for influenza or pneumonia (International Classification of Diseases, Ninth Revision, Clinical Modification, codes 480-487) during the 2006-2007, 2007-2008, and 2008-2009 influenza seasons were identified from administrative databases. Stratified and regression analyses, including the propensity score to adjust for confounding, as well as generalized estimating equations to account for repeated vaccination, were used. Overall, 107,661 records were evaluated, contributing 170,988 person-seasons of observation. Since ATIV is preferentially recommended for more frail individuals, subjects vaccinated with ATIV were older and had more functional impairment and comorbidities. In the primary analysis, risk of hospitalization for influenza or pneumonia was 25% lower for ATIV relative to TIV (relative risk = 0.75, 95% confidence interval: 0.57, 0.98). To the extent that there is residual bias, ATIV is likely to be even more protective than this result suggests.

Figures

Figure 1.
Figure 1.
Time windows defined by the influenza incidence/1,000 person-weeks in Lombardy, Italy, 2006–2009. The intermediate time window includes adjacent weeks above the threshold of 0.5 case/1,000 person-weeks each year. Bars represent narrow time windows with a cumulative incidence of influenza rate of 1 case/1,000 person-weeks.

References

    1. Armstrong BG, Mangtani P, Fletcher A, et al. Effect of influenza vaccination on excess deaths occurring during periods of high circulation of influenza: cohort study in elderly people. BMJ. 2004;329(7467):660. .
    1. Goodwin K, Viboud C, Simonsen L. Antibody response to influenza vaccination in the elderly: a quantitative review. Vaccine. 2006;24(8):1159–1169.
    1. McElhaney JE. The unmet need in the elderly: designing new influenza vaccines for older adults. Vaccine. 2005;23(suppl 1):S10–S25.
    1. Ansaldi F, Canepa P, Parodi V, et al. Adjuvanted seasonal influenza vaccines and perpetual viral metamorphosis: the importance of cross-protection. Vaccine. 2009;27(25-26):3345–3348.
    1. Carrat F, Flahault A. Influenza vaccine: the challenge of antigenic drift. Vaccine. 2007;25(39-40):6852–6862.
    1. Jefferson T, Di Pietrantonj C, Al-Ansary LA, et al. Vaccines for preventing influenza in the elderly. Cochrane Database Syst Rev. 2010;(2):CD004876.
    1. Nelson JC, Jackson ML, Weiss NS, et al. New strategies are needed to improve the accuracy of influenza vaccine effectiveness estimates among seniors. J Clin Epidemiol. 2009;62(7):687–694.
    1. Simonsen L, Viboud C, Taylor RJ, et al. Influenza vaccination and mortality benefits: new insights, new opportunities. Vaccine. 2009;27(45):6300–6304.
    1. Durando P, Icardi G, Ansaldi F. MF59-adjuvanted vaccine: a safe and useful tool to enhance and broaden protection against seasonal influenza viruses in subjects at risk. Expert Opin Biol Ther. 2010;10(4):639–651.
    1. Hannoun C, Megas F, Piercy J. Immunogenicity and protective efficacy of influenza vaccination. Virus Res. 2004;103(1-2):133–138.
    1. Corrao G, Zambon A, Nicotra F, et al. Issues concerning the use of hormone replacement therapy and risk of fracture: a population-based, nested case-control study. Br J Clin Pharmacol. 2008;65(1):123–129.
    1. Sturkenboom MC, Romano F, Simon G, et al. The iatrogenic costs of NSAID therapy: a population study. Arthritis Rheum. 2002;47(2):132–140.
    1. CIRCOLARE del Ministero della Salute, Rome, Italy—02 August 2007. Prevenzione e controllo dell'influenza: raccomandazioni per la stagione 2007–2008. (In Italian). (. ). (Accessed March 21, 2012)
    1. Instituto Superiore Di Sanita, Rome, Italy. Influnet: Sorveglianza Epidemiologica. (In Italian). ( ). (Accessed March 14, 2012)
    1. Liang K-Y, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13–22.
    1. Zeger SL, Liang K-Y, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44(4):1049–1060.
    1. Nordin J, Mullooly J, Poblete S, et al. Influenza vaccine effectiveness in preventing hospitalizations and deaths in persons 65 years or older in Minnesota, New York, and Oregon: data from 3 health plans. J Infect Dis. 2001;184(6):665–670.
    1. Brookhart MA, Schneeweiss S, Rothman KJ, et al. Variable selection for propensity score models. Am J Epidemiol. 2006;163(12):1149–1156.
    1. Stürmer T, Rothman KJ, Avorn J, et al. Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution—a simulation study. Am J Epidemiol. 2010;172(7):843–854.
    1. Bang H, Robins JM. Doubly robust estimation in missing data and causal inference models. Biometrics. 2005;61(4):962–973.
    1. Rubin DB. Multiple imputation after 18+ years. J Am Stat Assoc. 1996;91(434):473–489.
    1. Schafer JL. Analysis of Incomplete Multivariate Data. New York, NY: Chapman and Hall; 1997.
    1. Stürmer T, Joshi M, Glynn RJ, et al. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. J Clin Epidemiol. 2006;59(5):437–447.
    1. Groenwold RH, Hoes AW, Nichol KL, et al. Quantifying the potential role of unmeasured confounders: the example of influenza vaccination. Int J Epidemiol. 2008;37(6):1422–1429.
    1. Hak E, Verheij TJ, Grobbee DE, et al. Confounding by indication in non-experimental evaluation of vaccine effectiveness: the example of prevention of influenza complications. J Epidemiol Community Health. 2002;56(12):951–955.
    1. Jackson LA, Jackson ML, Nelson JC, et al. Evidence of bias in estimates of influenza vaccine effectiveness in seniors. Int J Epidemiol. 2006;35(2):337–344.
    1. Jackson LA, Nelson JC, Benson P, et al. Functional status is a confounder of the association of influenza vaccine and risk of all cause mortality in seniors. Int J Epidemiol. 2006;35(2):345–352.
    1. Nichol KL. Challenges in evaluating influenza vaccine effectiveness and the mortality benefits controversy. Vaccine. 2009;27(45):6305–6311.
    1. Nichol KL, Nordin JD, Nelson DB, et al. Effectiveness of influenza vaccine in the community-dwelling elderly. N Engl J Med. 2007;357(14):1373–1381.
    1. Simonsen L, Reichert TA, Viboud C, et al. Impact of influenza vaccination on seasonal mortality in the US elderly population. Arch Intern Med. 2005;165(3):265–272.
    1. Simonsen L, Taylor RJ, Viboud C, et al. Mortality benefits of influenza vaccination in elderly people: an ongoing controversy. Lancet Infect Dis. 2007;7(10):658–666.

Source: PubMed

3
Tilaa