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This Article Full Text Full Text (PDF) All Versions of this Article: 34/1/56    most recent 09031936.00190008v1 Alert me when this article is cited Alert me if a correction is posted Permissions Request Permissions Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Google Scholar Articles by Groenwold, R. H. H. Articles by Hak, E. PubMed PubMed Citation Articles by Groenwold, R. H. H. Articles by Hak, E.

Impact of influenza vaccination on mortality risk among the elderly

¹ Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, and ² Dept of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands.

CORRESPONDENCE: R. H. H. Groenwold, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands. E-mail: r.h.h.groenwold{at}umcutrecht.nl

Keywords: Bias, confounding, confounding factors, epidemiological methods, influenza vaccines

Received: December 16, 2008
Accepted January 19, 2009

Estimates of influenza vaccine effectiveness have mostly been derived from nonrandomised studies and therefore are potentially confounded. The aim of the current study was to estimate influenza vaccine effectiveness in preventing mortality among the elderly, taking both measured and unmeasured confounding into account.

Information on patients aged 65 yrs from the computerised Utrecht General Practitioner database on eight influenza epidemic periods 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 (ORs) 0.58 (95% confidence interval (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 (OR 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 comorbidity 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.