Eur Respir J 2009, doi:10.1183/09031936.00190008
Impact of influenza vaccination on mortality risk among elderly
1 Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, The Netherlands
* To whom correspondence should be addressed. E-mail: r.h.h.groenwold{at}umcutrecht.nl.
Estimates of influenza vaccine effectiveness have mostly been derived from non-randomized studies and therefore are potentially confounded. The aim of the current study was to estimate influenza vaccine effectiveness in preventing mortality among elderly taking both measured and unmeasured confounding into account. Information on patients aged 65 years and older from the computerized Utrecht General Practitioner database on eight influenza epidemic and summer periods was pooled to estimate influenza vaccine effectiveness in preventing mortality. Summer periods (during which no effect of vaccination was expected) were used as a reference to control for unmeasured confounding in epidemic periods. After adjustment for measured confounders using multivariable regression analysis, propensity score matching and propensity score regression analysis, influenza vaccination reduced mortality risk (odds ratios 0.58 [95%CI: 0.46–0.72], 0.56 [95%CI: 0.44–0.71], and 0.56 [95%CI: 0.45–0.69], respectively). After additional adjustment for unmeasured confounding (as observed during summer periods) the association between influenza vaccination and mortality risk decreased (odds ratio 0.69 [95%CI: 0.52–0.92]). We conclude that after state-of-the-art adjustment for typical confounders such as age, sex, and co-morbidity status, unmeasured confounding still biased estimates of influenza vaccine effectiveness. After taking unmeasured confounding into account, influenza vaccination is still associated with substantial reduction in mortality risk. Keywords: Bias, confounding, confounding factors, epidemiologic methods, influenza vaccines
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