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Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials

BACKGROUND: Despite being a vaccine-preventable disease, influenza remains a major public health threat with vaccine safety concerns reducing vaccine acceptability. Immune responses to vaccines and adverse events may differ between males and females, but most studies do not report results by sex. Us...

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Autores principales: Kiely, Marilou, Tadount, Fazia, Lo, Ernest, Sadarangani, Manish, Wei, Shu Qin, Rafferty, Ellen, Quach, Caroline, MacDonald, Shannon E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646905/
https://www.ncbi.nlm.nih.gov/pubmed/37734937
http://dx.doi.org/10.1136/jech-2023-220781
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author Kiely, Marilou
Tadount, Fazia
Lo, Ernest
Sadarangani, Manish
Wei, Shu Qin
Rafferty, Ellen
Quach, Caroline
MacDonald, Shannon E
author_facet Kiely, Marilou
Tadount, Fazia
Lo, Ernest
Sadarangani, Manish
Wei, Shu Qin
Rafferty, Ellen
Quach, Caroline
MacDonald, Shannon E
author_sort Kiely, Marilou
collection PubMed
description BACKGROUND: Despite being a vaccine-preventable disease, influenza remains a major public health threat with vaccine safety concerns reducing vaccine acceptability. Immune responses to vaccines and adverse events may differ between males and females, but most studies do not report results by sex. Using data from clinical trials, we explored sex differences in adverse events following seasonal influenza vaccines. METHODS: We obtained data for phase III randomised controlled trials identified through a systematic review and clinical trials registries, and performed a two-stage meta-analysis. Risk ratios (RR) and 95% confidence intervals (95% CI) comparing solicited reactions in females versus males were pooled using the Mantel-Haenszel method and a random-effects model. We used the ROBINS-I tool to assess risk of bias and the I(2) statistic for heterogeneity. Main analysis was stratified by age: 18–64 years and ≥65 years. RESULTS: The dataset for this analysis included 34 343 adults from 18 studies (12 with individual-level data and 6 with aggregate data). There was a higher risk of injection site reactions in females compared with males for both younger and older participants, with RRs of 1.29 (95% CI 1.21 to 1.37) and 1.43 (95% CI 1.28 to 1.60), respectively. Higher risk in females was also observed for systemic reactions, with RRs of 1.25 (95% CI 1.20 to 1.31) and 1.27 (95% CI 1.20 to 1.34) for younger and older participants, respectively. We also observed elevated risks of severe reactions in females, with a higher RR in younger versus older participants for systemic reactions (RRs 2.12 and 1.48, p=0.03, I(2)=79.7%). RRs were not found to vary between quadrivalent and trivalent vaccines. CONCLUSION: This meta-analysis suggested a higher risk of solicited reactions following influenza vaccines for females compared with males, irrespective of age and vaccine type. Transparent communication of this risk could increase the trust in vaccines and limit vaccine hesitancy. Future studies should report results stratified by sex and explore the role of gender in the occurrence of adverse events.
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spelling pubmed-106469052023-11-15 Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials Kiely, Marilou Tadount, Fazia Lo, Ernest Sadarangani, Manish Wei, Shu Qin Rafferty, Ellen Quach, Caroline MacDonald, Shannon E J Epidemiol Community Health Original Research BACKGROUND: Despite being a vaccine-preventable disease, influenza remains a major public health threat with vaccine safety concerns reducing vaccine acceptability. Immune responses to vaccines and adverse events may differ between males and females, but most studies do not report results by sex. Using data from clinical trials, we explored sex differences in adverse events following seasonal influenza vaccines. METHODS: We obtained data for phase III randomised controlled trials identified through a systematic review and clinical trials registries, and performed a two-stage meta-analysis. Risk ratios (RR) and 95% confidence intervals (95% CI) comparing solicited reactions in females versus males were pooled using the Mantel-Haenszel method and a random-effects model. We used the ROBINS-I tool to assess risk of bias and the I(2) statistic for heterogeneity. Main analysis was stratified by age: 18–64 years and ≥65 years. RESULTS: The dataset for this analysis included 34 343 adults from 18 studies (12 with individual-level data and 6 with aggregate data). There was a higher risk of injection site reactions in females compared with males for both younger and older participants, with RRs of 1.29 (95% CI 1.21 to 1.37) and 1.43 (95% CI 1.28 to 1.60), respectively. Higher risk in females was also observed for systemic reactions, with RRs of 1.25 (95% CI 1.20 to 1.31) and 1.27 (95% CI 1.20 to 1.34) for younger and older participants, respectively. We also observed elevated risks of severe reactions in females, with a higher RR in younger versus older participants for systemic reactions (RRs 2.12 and 1.48, p=0.03, I(2)=79.7%). RRs were not found to vary between quadrivalent and trivalent vaccines. CONCLUSION: This meta-analysis suggested a higher risk of solicited reactions following influenza vaccines for females compared with males, irrespective of age and vaccine type. Transparent communication of this risk could increase the trust in vaccines and limit vaccine hesitancy. Future studies should report results stratified by sex and explore the role of gender in the occurrence of adverse events. BMJ Publishing Group 2023-12 2023-09-21 /pmc/articles/PMC10646905/ /pubmed/37734937 http://dx.doi.org/10.1136/jech-2023-220781 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Kiely, Marilou
Tadount, Fazia
Lo, Ernest
Sadarangani, Manish
Wei, Shu Qin
Rafferty, Ellen
Quach, Caroline
MacDonald, Shannon E
Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title_full Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title_fullStr Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title_full_unstemmed Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title_short Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
title_sort sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646905/
https://www.ncbi.nlm.nih.gov/pubmed/37734937
http://dx.doi.org/10.1136/jech-2023-220781
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