Résumé
Several psychotropic drugs, including antidepressants (AD), mood stabilizers, and antipsychotics (AP) have been suggested to have favorable effects in the treatment of COVID-19. The aim of this systematic review and meta-analysis was to collect evidence from studies concerning the scientific evidence for the repurposing of psychotropic drugs in COVID-19 treatment. Two independent authors searched PubMed-MEDLINE, Scopus, PsycINFO, and ClinicalTrials.gov databases, and reviewed the reference lists of articles for eligible articles published up to 13th December 2021. All computational, preclinical and clinical (observational and/or RCTs) studies on the effect of any psychotropic drug on Sars-CoV-2 or patients with COVID-19 were considered for inclusion. We conducted random effect meta-analyses on clinical studies reporting the effect of AD or AP on COVID-19 outcomes. 29 studies were included in the synthesis: 15 clinical, 9 preclinical, and 5 computational studies. 9 clinical studies could be included in the quantitative analyses. AD did not increase the risk of severe COVID-19 (RR= 1.71; CI 0.65–4.51) or mortality (RR=0.94; CI 0.81–1.09). Fluvoxamine was associated with a reduced risk of mortality for COVID-19 (OR=0.15; CI 0.02–0.95). AP increased the risk of severe COVID-19 (RR=3.66; CI 2.76–4.85) and mortality (OR=1.53; CI 1.15–2.03). Fluvoxamine might be a possible candidate for psychotropic drug repurposing in COVID-19 due to its anti-inflammatory and antiviral potential, while evidence on other AD is still controversial. Although AP are associated with worse COVID-19 outcomes, their use should be evaluated case to case and ongoing treatment with antipsychotics should be not discontinued in psychiatric patients.
Langue d'origine | English |
---|---|
Pages (de-à) | 30-44 |
Nombre de pages | 15 |
Journal | European Neuropsychopharmacology |
Volume | 66 |
DOI | |
Statut de publication | Published - janv. 2023 |
Note bibliographique
Funding Information:IG thanks the support of the Spanish Ministry of Science and Innovation (MCIN) ( PI19/00954 ) integrated into the Plan Nacional de I+D+I and cofinanced by the ISCIII-Subdirección General de Evaluación y el Fondos Europeos de la Unión Europea (FEDER, FSE, Next Generation EU/Plan de Recuperación Transformación y Resiliencia_PRTR); the Instituto de Salud Carlos III; the CIBER of Mental Health (CIBERSAM) ; and the the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement ( 2017 SGR 1365 ), CERCA Programme / Generalitat de Catalunya. EV thanks the support of the Spanish Ministry of Science and Innovation ( PI18/00805 , PI21/00787 ) integrated into the Plan Nacional de I+D+I and co-financed by the ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER); the Instituto de Salud Carlos III; the CIBER of Mental Health (CIBERSAM) ; the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement ( 2017 SGR 1365 ), the CERCA Programme, and the Departament de Salut de la Generalitat de Catalunya for the PERIS grant SLT006/17/00357 . Thanks the support of the European Union Horizon 2020 research and innovation program (EU.3.1.1. Understanding health, wellbeing and disease: Grant No 754907 and EU.3.1.3. Treating and managing disease : Grant No 945151 ). AM has received a grant ( PI19/00672 ) from the Instituto de Salud Carlos III Subdirección General de Evaluación y Fomento de la investigación , Plan Nacional 2019-2022. The project that gave rise to these results received the support of a fellowship from "La Caixa" Foundation (ID 100010434 ). The fellowship code is LCF/BQ/DR21/11880019.
Funding Information:
IG thanks the support of the Spanish Ministry of Science and Innovation (MCIN) (PI19/00954) integrated into the Plan Nacional de I+D+I and cofinanced by the ISCIII-Subdirección General de Evaluación y el Fondos Europeos de la Unión Europea (FEDER, FSE, Next Generation EU/Plan de Recuperación Transformación y Resiliencia_PRTR); the Instituto de Salud Carlos III; the CIBER of Mental Health (CIBERSAM); and the the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement (2017 SGR 1365), CERCA Programme / Generalitat de Catalunya. EV thanks the support of the Spanish Ministry of Science and Innovation (PI18/00805, PI21/00787) integrated into the Plan Nacional de I+D+I and co-financed by the ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER); the Instituto de Salud Carlos III; the CIBER of Mental Health (CIBERSAM); the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement (2017 SGR 1365), the CERCA Programme, and the Departament de Salut de la Generalitat de Catalunya for the PERIS grant SLT006/17/00357. Thanks the support of the European Union Horizon 2020 research and innovation program (EU.3.1.1. Understanding health, wellbeing and disease: Grant No 754907 and EU.3.1.3. Treating and managing disease: Grant No 945151). AM has received a grant (PI19/00672) from the Instituto de Salud Carlos III Subdirección General de Evaluación y Fomento de la investigación, Plan Nacional 2019-2022. The project that gave rise to these results received the support of a fellowship from "La Caixa" Foundation (ID 100010434). The fellowship code is LCF/BQ/DR21/11880019.
Publisher Copyright:
© 2022 Elsevier B.V. and ECNP
ASJC Scopus Subject Areas
- Pharmacology
- Neurology
- Clinical Neurology
- Psychiatry and Mental health
- Biological Psychiatry
- Pharmacology (medical)
PubMed: MeSH publication types
- Journal Article
- Review