The relative vaccine effectiveness of high-dose vs standard-dose influenza vaccines in preventing hospitalization and mortality: A meta-analysis of evidence from randomized trials
- PMID: 38795774
- DOI: 10.1016/j.jinf.2024.106187
The relative vaccine effectiveness of high-dose vs standard-dose influenza vaccines in preventing hospitalization and mortality: A meta-analysis of evidence from randomized trials
Erratum in
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Corrigendum to "The relative vaccine effectiveness of high-dose vs standard-dose influenza vaccines in preventing hospitalization and mortality: A meta-analysis of evidence from randomized trials" [J Infect 89 (2024) 106187].J Infect. 2024 Nov;89(5):106270. doi: 10.1016/j.jinf.2024.106270. Epub 2024 Sep 12. J Infect. 2024. PMID: 39270534 No abstract available.
Abstract
Objectives: To summarize current evidence of high-dose influenza vaccine (HD-IV) vs standard-dose (SD-IV) regarding severe clinical outcomes.
Methods: A prespecified meta-analysis was conducted to assess relative vaccine effectiveness (rVE) of HD-IV vs SD-IV in reducing the rates of (1) pneumonia and influenza (P&I) hospitalization, (2) all hospitalizations, and (3) all-cause death in adults ≥ 65 years in randomized controlled trials. Pooled effect sizes were estimated using fixed-effects models with the inverse variance method.
Results: Five randomized trials were included encompassing 105,685 individuals. HD-IV vs SD-IV reduced P&I hospitalizations (rVE: 23.5 %, [95 %CI: 12.3 to 33.2]). HD-IV vs SD-IV also reduced rate of all-cause hospitalizations (rVE: 7.3 %, [95 %CI: 4.5 to 10.0]). No significant differences were observed in death rates (rVE = 1.6 % ([95 %CI: -2.0 to 5.0]) in HD-IV vs SD-IV. Sensitivity analyses omitting trials with participants sharing the same comorbidity, trials with ≥ 100 events, and random-effects models provided comparable estimates for all outcomes.
Conclusions: HD-IV reduced the incidence of P&I and all-cause hospitalization vs SD-IV in adults ≥ 65 years in randomized trials, through no significant difference was observed in all-cause death rates. These findings, supported by evidence from several randomized studies, can benefit from replication in a fully powered, individually randomized trial.
Keywords: High-dose influenza vaccine; Meta-analysis; Randomized trials; Severe clinical endpoints.
Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest KGS has served on advisory boards for Sanofi. MML, RH, and MD are full-time employees of Sanofi and may hold stocks and/or shares in the company. SDS has received research grants from Actelion, Alnylam, Amgen, AstraZeneca, Bellerophon, Bayer, BMS, Celladon, Cytokinetics, Eidos, Gilead, GSK, Ionis, Lilly, Mesoblast, MyoKardia, NIH/NHLBI, Neurotronik, Novartis, Novo Nordisk, Respicardia, Sanofi, Theracos, US2. AI and consulted for Abbott, Action, Akros, Alnylam, Amgen, Arena, AstraZeneca, Bayer, Boehringer Ingelheim, BMS, Cardior, Cardurion, Corvia, Cytokinetics, Daiichi-Sankyo, GSK, Lilly, Merck, Myokardia, Novartis, Roche, Theracos, Quantum Genomics, Cardurion, Janssen, Cardiac Dimensions, Tenaya, Sanofi, Dinaqor, Tremeau, CellProThera, Moderna, American Regent, Sarepta, Lexicon, Anacardio, Akros, and Puretech Health. TBS is chief investigator of the Boston Scientific financed ”DANLOGIC-HF” trial, the Sanofi financed “NUDGE-FLU” trial, the Sanofi financed “DANFLU-1″ trial, the Sanofi financed “DANFLU-2″ trial and steering committee member of the Boston Scientific sponsored “LUX-Dx TRENDS Evaluates Diagnostics Sensors in Heart Failure Patients Receiving Boston Scientific's Investigational ICM System” trial, the Amgen sponsored GALACTIC-HF trial, the Boehringer Ingelheim financed EASi-KIDNEY trial and served on advisory boards for Sanofi, Amgen, CSL Seqirus and GSK and received speaker honorariums from Bayer, Novartis, Sanofi, GE Healthcare and GSK and received research grants from Boston Scientific, GE Healthcare, AstraZeneca, Novo Nordisk, and Sanofi and consulted for Novo Nordisk, IQVIA and Parexel. The remaining authors have nothing to disclose.
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