IDEAS home Printed from https://ideas.repec.org/a/spr/drugsa/v48y2025i3d10.1007_s40264-024-01495-5.html
   My bibliography  Save this article

Early Detection of Hearing Impairment Signals Post-mRNA COVID-19 Vaccination: A Disproportionality Analysis Study on French Pharmacovigilance Database

Author

Listed:
  • Dalil Boulefaa

    (Toulouse University Hospital)

  • Haleh Bagheri

    (Toulouse University Hospital)

  • Francesco Salvo

    (Hospital University of Bordeaux, Inserm, BPH, U1219, Equipe AHeaD)

  • Marie-Blanche Rabier

    (Besançon University Hospital)

  • Hélène Geniaux

    (Limoges University Hospital)

  • Marion Lepelley

    (Grenoble-Alpes University Hospital)

  • Fanny Rocher

    (Côte d’Azur University Medical Centre)

  • Julien Mahe

    (Poitiers University Hospital)

  • Aurélie Grandvillemuin

    (Dijon University Hospital)

  • Hung Thai-Van

    (Service d’Audiologie and d’Explorations Otoneurologiques, Hospices Civils de Lyon
    Claude Bernard Lyon 1 University
    Institut Pasteur, Institut de l’Audition)

Abstract

Introduction Improving adverse events following immunisation (AEFI) detection is vital for vaccine safety surveillance, as an early safety signal can help minimize risks. In February 2022, the World Health Organization reported a preliminary signal on sudden sensorineural hearing loss (SSNHL) following coronavirus disease 2019 (COVID-19) vaccination, 54 million persons in France received at least one dose, covering 78.8% of the population within a year. Objective The primary objective of this study was to identify a method of disproportionality analysis capable to detect a safety signal for hearing impairment (HI) as early as possible during the initial phases of the COVID-19 vaccination campaign. Secondly, we described all cases of SSNHL reported during vaccine booster campaigns in France. Methods Data from January 2011 to February 2022 were extracted from the French pharmacovigilance database. Cases were all spontaneous reports of AEFI for elasomeran and tozinameran, while non-cases were AEFI reported for other vaccines. Disproportionality analysis for HI was performed monthly during 2021, to estimate a reporting odds ratio (ROR). Four different methods were used for ROR estimation. Furthermore, we reviewed cases of SSNHL following messenger RNA COVID-19 vaccinations reported during booster campaigns, from 2 February 2022 to 1 March 2023, based on a comprehensive medical evaluation. Results Using a standard methodology, we identified a signal on 31 July 2021 (ROR 1.50, 95% confidence interval [CI] [1.06–2.18]). Multivariate analysis adjusted for sex, age, ototoxic drugs and excluding reference reports of common AEFI for vaccines allowed us to detect the HI signal as early as 31 March 2021 (ROR 2.67, 95% CI [1.36–5.57]). The SSNHL reporting rate was estimated to be 0.83/1,000,000 doses for tozinameran and 4.3/1,000,000 for elasomeran during the booster campaigns. Conclusion Using a well-structured disproportionality analysis could have enhanced early detection of safety signals and contribute to risk minimizing measures. According to descriptive data, HI following mRNA COVID-19 vaccines remains rare.

Suggested Citation

  • Dalil Boulefaa & Haleh Bagheri & Francesco Salvo & Marie-Blanche Rabier & Hélène Geniaux & Marion Lepelley & Fanny Rocher & Julien Mahe & Aurélie Grandvillemuin & Hung Thai-Van, 2025. "Early Detection of Hearing Impairment Signals Post-mRNA COVID-19 Vaccination: A Disproportionality Analysis Study on French Pharmacovigilance Database," Drug Safety, Springer, vol. 48(3), pages 251-263, March.
  • Handle: RePEc:spr:drugsa:v:48:y:2025:i:3:d:10.1007_s40264-024-01495-5
    DOI: 10.1007/s40264-024-01495-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40264-024-01495-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40264-024-01495-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:drugsa:v:48:y:2025:i:3:d:10.1007_s40264-024-01495-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/40264 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.