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Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database

BACKGROUND: The enduring presence of COVID-19 and subsequent increasing incidence of COVID-19 reinfection has prompted evaluation of associated risk factors, particularly the role of immunosuppression. OBJECTIVE: The objective of this study was to characterize cases indicative of COVID-19 reinfectio...

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Autores principales: Beyzarov, Elena, Chen, Yan, Caubel, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470511/
https://www.ncbi.nlm.nih.gov/pubmed/36100734
http://dx.doi.org/10.1007/s40261-022-01200-3
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author Beyzarov, Elena
Chen, Yan
Caubel, Patrick
author_facet Beyzarov, Elena
Chen, Yan
Caubel, Patrick
author_sort Beyzarov, Elena
collection PubMed
description BACKGROUND: The enduring presence of COVID-19 and subsequent increasing incidence of COVID-19 reinfection has prompted evaluation of associated risk factors, particularly the role of immunosuppression. OBJECTIVE: The objective of this study was to characterize cases indicative of COVID-19 reinfection with respect to their reported use of immunosuppressant/immunomodulating agents. METHODS: This cross-sectional observational study leveraged the Pfizer global safety database (SDB) containing adverse event data collected in association with use of Pfizer products between 1 October 2019, and 30 June 2022. Selected Medical Dictionary for Drug Regulatory Activities (MedDRA(®)) Preferred Terms were used to identify COVID-19 cases; the search was further refined to comprise cases that subsequently reported events potentially indicative of COVID-19 reinfection. RESULTS: Of the cumulative total of 218,242 COVID-19 cases reported into the SDB, 4590 cases (2.1%) involving potential COVID-19 reinfection were identified. Of these 4590 cases of potential Covid-19 reinfection, a total of 134 cases reported COVID-19 specifically during treatment with pharmaceutical products, of which approximately 16% (21/134) of cases reported use of immunosuppressant/immunomodulating agents. Likewise, in the overall dataset (213,652 cases; excluding the 4590 cases involving potential COVID-19 recurrence), the percentage of reported immunosuppressant/immunomodulating agents was low (12%). In applying similar parameters to a dataset that excludes COVID-19 vaccine cases, 18% of cases reported use of immunosuppressant/immunomodulating agents (similar to the aforementioned 16% of cases reported from the overall total dataset that was inclusive of vaccine cases). CONCLUSION: This pharmacovigilance study provides a characterization of cases indicative of COVID-19 reinfection with respect to reported use of immunosuppressant/immunomodulating agents. The observations generated from this cross-sectional observational analysis may prompt further research into the role of immunosuppression in COVID-19 reinfection, in an effort to better inform clinical practice and patient management.
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spelling pubmed-94705112022-09-14 Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database Beyzarov, Elena Chen, Yan Caubel, Patrick Clin Drug Investig Original Research Article BACKGROUND: The enduring presence of COVID-19 and subsequent increasing incidence of COVID-19 reinfection has prompted evaluation of associated risk factors, particularly the role of immunosuppression. OBJECTIVE: The objective of this study was to characterize cases indicative of COVID-19 reinfection with respect to their reported use of immunosuppressant/immunomodulating agents. METHODS: This cross-sectional observational study leveraged the Pfizer global safety database (SDB) containing adverse event data collected in association with use of Pfizer products between 1 October 2019, and 30 June 2022. Selected Medical Dictionary for Drug Regulatory Activities (MedDRA(®)) Preferred Terms were used to identify COVID-19 cases; the search was further refined to comprise cases that subsequently reported events potentially indicative of COVID-19 reinfection. RESULTS: Of the cumulative total of 218,242 COVID-19 cases reported into the SDB, 4590 cases (2.1%) involving potential COVID-19 reinfection were identified. Of these 4590 cases of potential Covid-19 reinfection, a total of 134 cases reported COVID-19 specifically during treatment with pharmaceutical products, of which approximately 16% (21/134) of cases reported use of immunosuppressant/immunomodulating agents. Likewise, in the overall dataset (213,652 cases; excluding the 4590 cases involving potential COVID-19 recurrence), the percentage of reported immunosuppressant/immunomodulating agents was low (12%). In applying similar parameters to a dataset that excludes COVID-19 vaccine cases, 18% of cases reported use of immunosuppressant/immunomodulating agents (similar to the aforementioned 16% of cases reported from the overall total dataset that was inclusive of vaccine cases). CONCLUSION: This pharmacovigilance study provides a characterization of cases indicative of COVID-19 reinfection with respect to reported use of immunosuppressant/immunomodulating agents. The observations generated from this cross-sectional observational analysis may prompt further research into the role of immunosuppression in COVID-19 reinfection, in an effort to better inform clinical practice and patient management. Springer International Publishing 2022-09-14 2022 /pmc/articles/PMC9470511/ /pubmed/36100734 http://dx.doi.org/10.1007/s40261-022-01200-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Beyzarov, Elena
Chen, Yan
Caubel, Patrick
Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title_full Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title_fullStr Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title_full_unstemmed Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title_short Reporting of COVID-19 Reinfection and Potential Role of Immunosuppressant/Immunomodulating Agents: A Cross-Sectional Observational Analysis Based on a Spontaneous Reporting Database
title_sort reporting of covid-19 reinfection and potential role of immunosuppressant/immunomodulating agents: a cross-sectional observational analysis based on a spontaneous reporting database
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470511/
https://www.ncbi.nlm.nih.gov/pubmed/36100734
http://dx.doi.org/10.1007/s40261-022-01200-3
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