Literature DB >> 19213779

Impact of influenza vaccination on mortality risk among the elderly.

R H H Groenwold1, A W Hoes, E Hak.   

Abstract

Estimates of influenza vaccine effectiveness have mostly been derived from nonrandomized 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 >or=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.

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Year:  2009        PMID: 19213779     DOI: 10.1183/09031936.00190008

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  15 in total

1.  [Influenza : clinical symptoms, diagnostics and therapy].

Authors:  G G U Rohde
Journal:  Internist (Berl)       Date:  2011-09       Impact factor: 0.743

2.  Using claims data to predict dependency in activities of daily living as a proxy for frailty.

Authors:  Keturah R Faurot; Michele Jonsson Funk; Virginia Pate; M Alan Brookhart; Amanda Patrick; Laura C Hanson; Wendy Camelo Castillo; Til Stürmer
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-10-21       Impact factor: 2.890

Review 3.  Adjustment for continuous confounders: an example of how to prevent residual confounding.

Authors:  Rolf H H Groenwold; Olaf H Klungel; Douglas G Altman; Yolanda van der Graaf; Arno W Hoes; Karel G M Moons
Journal:  CMAJ       Date:  2013-02-11       Impact factor: 8.262

4.  Vaccine effectiveness against influenza A(H3N2) and B among laboratory-confirmed, hospitalised older adults, Europe, 2017-18: A season of B lineage mismatched to the trivalent vaccine.

Authors:  Angela M C Rose; Esther Kissling; Alin Gherasim; Itziar Casado; Antonino Bella; Odile Launay; Mihaela Lazăr; Sierk Marbus; Monika Kuliese; Ritva Syrjänen; Ausenda Machado; Sanja Kurečić Filipović; Amparo Larrauri; Jesús Castilla; Valeria Alfonsi; Florence Galtier; Alina Ivanciuc; Adam Meijer; Aukse Mickiene; Niina Ikonen; Verónica Gómez; Zvjezdana Lovrić Makarić; Alain Moren; Marta Valenciano
Journal:  Influenza Other Respir Viruses       Date:  2020-02-05       Impact factor: 4.380

5.  Implementing an influenza vaccination programme for adults aged ≥65 years in Poland: a cost-effectiveness analysis.

Authors:  Lidia Brydak; Julie Roiz; Pascaline Faivre; Camille Reygrobellet
Journal:  Clin Drug Investig       Date:  2012-02-01       Impact factor: 2.859

6.  Rituximab-treated patients have a poor response to influenza vaccination.

Authors:  Robert A Eisenberg; Abbas F Jawad; Jean Boyer; Kelly Maurer; Kenyetta McDonald; Eline T Luning Prak; Kathleen E Sullivan
Journal:  J Clin Immunol       Date:  2012-10-14       Impact factor: 8.317

Review 7.  Frequency and impact of confounding by indication and healthy vaccinee bias in observational studies assessing influenza vaccine effectiveness: a systematic review.

Authors:  Cornelius Remschmidt; Ole Wichmann; Thomas Harder
Journal:  BMC Infect Dis       Date:  2015-10-17       Impact factor: 3.090

8.  Effectiveness of the influenza vaccine in preventing admission to hospital and death in people with type 2 diabetes.

Authors:  Eszter P Vamos; Utz J Pape; Vasa Curcin; Matthew J Harris; Jonathan Valabhji; Azeem Majeed; Christopher Millett
Journal:  CMAJ       Date:  2016-07-25       Impact factor: 8.262

9.  Impact of Patient Portal Messaging Reminders with Self-Scheduling Option on Influenza Vaccination Rates: a Prospective, Randomized Trial.

Authors:  Benjamin E Ueberroth; Helene R Labonte; Mark R Wallace
Journal:  J Gen Intern Med       Date:  2021-06-15       Impact factor: 6.473

10.  Effectiveness of A(H1N1)pdm09 influenza vaccine in adults recommended for annual influenza vaccination.

Authors:  Giedre Gefenaite; Margot Tacken; Jens Bos; Irina Stirbu-Wagner; Joke C Korevaar; Ronald P Stolk; Bert Wolters; Marc Bijl; Maarten J Postma; Jan Wilschut; Kristin L Nichol; Eelko Hak
Journal:  PLoS One       Date:  2013-06-20       Impact factor: 3.240

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