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Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study
The World Health Organization has proposed that a search be made for alternatives to vaccines for the prevention and treatment of COVID-19, with one such alternative being selective serotonin reuptake inhibitors (SSRIs). This study thus sought to assess: the impact of previous treatment with SSRI an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070770/ https://www.ncbi.nlm.nih.gov/pubmed/37094487 http://dx.doi.org/10.1016/j.euroneuro.2023.03.011 |
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author | Visos-Varela, Irene Zapata-Cachafeiro, Maruxa Piñeiro-Lamas, María Carracedo-Martínez, Eduardo Saez, Marc Herdeiro, María Teresa Figueiras, Adolfo Salgado-Barreira, Ángel |
author_facet | Visos-Varela, Irene Zapata-Cachafeiro, Maruxa Piñeiro-Lamas, María Carracedo-Martínez, Eduardo Saez, Marc Herdeiro, María Teresa Figueiras, Adolfo Salgado-Barreira, Ángel |
author_sort | Visos-Varela, Irene |
collection | PubMed |
description | The World Health Organization has proposed that a search be made for alternatives to vaccines for the prevention and treatment of COVID-19, with one such alternative being selective serotonin reuptake inhibitors (SSRIs). This study thus sought to assess: the impact of previous treatment with SSRI antidepressants on the severity of COVID-19 (risk of hospitalisation, admission to an intensive care unit [ICU], and mortality), its influence on susceptibility to SARS-CoV-2 and progression to severe COVID-19. We conducted a population-based multiple case-control study in a region in the north-west of Spain. Data were sourced from electronic health records. Adjusted odds ratios (aORs) and 95%CIs were calculated using multilevel logistic regression. We collected data from a total of 86,602 subjects: 3060 cases PCR+, 26,757 non-hospitalised cases PCR+ and 56,785 controls (without PCR+). Citalopram displayed a statistically significant decrease in the risk of hospitalisation (aOR=0.70; 95% CI 0.49–0.99, p = 0.049) and progression to severe COVID-19 (aOR=0.64; 95% CI 0.43–0.96, p = 0.032). Paroxetine was associated with a statistically significant decrease in risk of mortality (aOR=0.34; 95% CI 0.12 – 0.94, p = 0.039). No class effect was observed for SSRIs overall, nor was any other effect found for the remaining SSRIs. The results of this large-scale, real-world data study indicate that, citalopram, could be a candidate drug for being repurposed as preventive treatment aimed at reducing COVID-19 patients’ risk of progressing to severe stages of the disease. |
format | Online Article Text |
id | pubmed-10070770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100707702023-04-04 Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study Visos-Varela, Irene Zapata-Cachafeiro, Maruxa Piñeiro-Lamas, María Carracedo-Martínez, Eduardo Saez, Marc Herdeiro, María Teresa Figueiras, Adolfo Salgado-Barreira, Ángel Eur Neuropsychopharmacol Article The World Health Organization has proposed that a search be made for alternatives to vaccines for the prevention and treatment of COVID-19, with one such alternative being selective serotonin reuptake inhibitors (SSRIs). This study thus sought to assess: the impact of previous treatment with SSRI antidepressants on the severity of COVID-19 (risk of hospitalisation, admission to an intensive care unit [ICU], and mortality), its influence on susceptibility to SARS-CoV-2 and progression to severe COVID-19. We conducted a population-based multiple case-control study in a region in the north-west of Spain. Data were sourced from electronic health records. Adjusted odds ratios (aORs) and 95%CIs were calculated using multilevel logistic regression. We collected data from a total of 86,602 subjects: 3060 cases PCR+, 26,757 non-hospitalised cases PCR+ and 56,785 controls (without PCR+). Citalopram displayed a statistically significant decrease in the risk of hospitalisation (aOR=0.70; 95% CI 0.49–0.99, p = 0.049) and progression to severe COVID-19 (aOR=0.64; 95% CI 0.43–0.96, p = 0.032). Paroxetine was associated with a statistically significant decrease in risk of mortality (aOR=0.34; 95% CI 0.12 – 0.94, p = 0.039). No class effect was observed for SSRIs overall, nor was any other effect found for the remaining SSRIs. The results of this large-scale, real-world data study indicate that, citalopram, could be a candidate drug for being repurposed as preventive treatment aimed at reducing COVID-19 patients’ risk of progressing to severe stages of the disease. The Author(s). Published by Elsevier B.V. 2023-06 2023-04-04 /pmc/articles/PMC10070770/ /pubmed/37094487 http://dx.doi.org/10.1016/j.euroneuro.2023.03.011 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Visos-Varela, Irene Zapata-Cachafeiro, Maruxa Piñeiro-Lamas, María Carracedo-Martínez, Eduardo Saez, Marc Herdeiro, María Teresa Figueiras, Adolfo Salgado-Barreira, Ángel Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title | Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title_full | Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title_fullStr | Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title_full_unstemmed | Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title_short | Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: A population-based study |
title_sort | repurposing selective serotonin reuptake inhibitors for severity of covid-19: a population-based study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070770/ https://www.ncbi.nlm.nih.gov/pubmed/37094487 http://dx.doi.org/10.1016/j.euroneuro.2023.03.011 |
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