The feasibility of pragmatic influenza vaccine randomized controlled real-world trials in Denmark and England

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作者
Joshua Nealon
Daniel Modin
Rebecca E. Ghosh
Deborah Rudin
Gunnar Gislason
Helen P. Booth
Jens Ulrik Stæhr Jensen
Rachael Williams
Hilary Shepherd
Eleanor Yelland
Helene Bricout
Sandra S. Chaves
Tor Biering-Sørensen
机构
[1] Sanofi Pasteur Medical Evidence Generation,School of Public Health, Li Ka Shing Faculty of Medicine
[2] The University of Hong Kong,Department of Cardiology
[3] Pokfulam, Clinical Practice Research Datalink
[4] Hong Kong Special Administrative Region,Department of Pulmonology
[5] Copenhagen University Hospital—Herlev and Gentofte,Modelling, Epidemiology and Data Science
[6] Medicines and Healthcare products Regulatory Agency,Department of Biomedical Sciences, Faculty of Health and Medical Sciences
[7] Sanofi Pasteur Global Medical Affairs,undefined
[8] Copenhagen University Hospital—Herlev and Gentofte & Department of Biomedical Sciences,undefined
[9] Faculty of Health and Medical Sciences,undefined
[10] University of Copenhagen,undefined
[11] Sanofi Pasteur,undefined
[12] University of Copenhagen,undefined
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We estimated the frequency of non-specific influenza-associated clinical endpoints to inform the feasibility of pragmatic randomized controlled trials (RCT) assessing relative vaccine effectiveness (rVE). Hospitalization rates of respiratory, cardiovascular and diabetic events were estimated from Denmark and England’s electronic databases and stratified by age, comorbidity and influenza vaccination status. We included a seasonal average of 4.5 million Danish and 7.2 million English individuals, 17 and 32% with comorbidities. Annually, approximately 1% of Danish and 0.5% of English individuals were hospitalized for selected events, ~50% of them respiratory. Hospitalization rates were 40–50-fold and 2–10-fold higher in those >50 years and with comorbidities, respectively. Our findings suggest that a pragmatic RCT using non-specific endpoints is feasible. However, for outcomes with rates <2.5%, it would require randomization of ~100,000 participants to have the power to detect a rVE difference of ~13%. Targeting selected groups (older adults, those with comorbidities) where frequency of events is high would improve trial efficiency.
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