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Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection

BACKGROUND: To date, disproportionality analysis has been unable to demonstrate the increased bleeding risk associated with antidepressant drugs, especially selective serotonin reuptake inhibitors. OBJECTIVE: We hypothesised that a potential signal for an increased bleeding risk may be mitigated by...

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Autores principales: Zeiss, René, Hiemke, Christoph, Schönfeldt-Lecuona, Carlos, Connemann, Bernhard J., Gahr, Maximilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605951/
https://www.ncbi.nlm.nih.gov/pubmed/34117617
http://dx.doi.org/10.1007/s40801-021-00260-9
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author Zeiss, René
Hiemke, Christoph
Schönfeldt-Lecuona, Carlos
Connemann, Bernhard J.
Gahr, Maximilian
author_facet Zeiss, René
Hiemke, Christoph
Schönfeldt-Lecuona, Carlos
Connemann, Bernhard J.
Gahr, Maximilian
author_sort Zeiss, René
collection PubMed
description BACKGROUND: To date, disproportionality analysis has been unable to demonstrate the increased bleeding risk associated with antidepressant drugs, especially selective serotonin reuptake inhibitors. OBJECTIVE: We hypothesised that a potential signal for an increased bleeding risk may be mitigated by the effects of agents other than antidepressant drugs that are strongly associated with haemorrhages, especially antithrombotics. In addition, we investigated if the use of more specific search terms of the Medical Dictionary for Regulatory Activities facilitates the detection of signals. METHODS: Pharmacovigilance data from the Uppsala Monitoring Centre were used to calculate substance-specific reporting odds ratios (RORs) for all types of bleeding and gastrointestinal bleeding. Reporting odds ratios were calculated with and without antithrombotic comedication. RESULTS: Regarding any type of bleeding, no signals were found in association with antidepressant drugs. Concerning upper gastrointestinal bleeding, signals were found related to citalopram (ROR: 1.56 [95% confidence interval 1.11–2.20]) and escitalopram (ROR: 1.52 [95% confidence interval 1.03–2.25]). After removal of reports related to antithrombotics, these signals could no longer be detected, but a new signal related to St. John’s Wort associated with haemorrhages was found (ROR: 1.50 [95% confidence interval 1.21–1.86]). CONCLUSIONS: Antithrombotics seem unlikely to have a major impact on the detection of the bleeding risk of antidepressant drugs. The different categorisation of adverse drug reactions regarding the strength of a causal relationship between a drug and an event in the database may be relevant for this negative finding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40801-021-00260-9.
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spelling pubmed-86059512021-11-24 Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection Zeiss, René Hiemke, Christoph Schönfeldt-Lecuona, Carlos Connemann, Bernhard J. Gahr, Maximilian Drugs Real World Outcomes Original Research Article BACKGROUND: To date, disproportionality analysis has been unable to demonstrate the increased bleeding risk associated with antidepressant drugs, especially selective serotonin reuptake inhibitors. OBJECTIVE: We hypothesised that a potential signal for an increased bleeding risk may be mitigated by the effects of agents other than antidepressant drugs that are strongly associated with haemorrhages, especially antithrombotics. In addition, we investigated if the use of more specific search terms of the Medical Dictionary for Regulatory Activities facilitates the detection of signals. METHODS: Pharmacovigilance data from the Uppsala Monitoring Centre were used to calculate substance-specific reporting odds ratios (RORs) for all types of bleeding and gastrointestinal bleeding. Reporting odds ratios were calculated with and without antithrombotic comedication. RESULTS: Regarding any type of bleeding, no signals were found in association with antidepressant drugs. Concerning upper gastrointestinal bleeding, signals were found related to citalopram (ROR: 1.56 [95% confidence interval 1.11–2.20]) and escitalopram (ROR: 1.52 [95% confidence interval 1.03–2.25]). After removal of reports related to antithrombotics, these signals could no longer be detected, but a new signal related to St. John’s Wort associated with haemorrhages was found (ROR: 1.50 [95% confidence interval 1.21–1.86]). CONCLUSIONS: Antithrombotics seem unlikely to have a major impact on the detection of the bleeding risk of antidepressant drugs. The different categorisation of adverse drug reactions regarding the strength of a causal relationship between a drug and an event in the database may be relevant for this negative finding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40801-021-00260-9. Springer International Publishing 2021-06-11 /pmc/articles/PMC8605951/ /pubmed/34117617 http://dx.doi.org/10.1007/s40801-021-00260-9 Text en © The Author(s) 2021 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
Zeiss, René
Hiemke, Christoph
Schönfeldt-Lecuona, Carlos
Connemann, Bernhard J.
Gahr, Maximilian
Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title_full Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title_fullStr Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title_full_unstemmed Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title_short Risk of Bleeding Associated with Antidepressant Drugs: The Competitive Impact of Antithrombotics in Quantitative Signal Detection
title_sort risk of bleeding associated with antidepressant drugs: the competitive impact of antithrombotics in quantitative signal detection
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605951/
https://www.ncbi.nlm.nih.gov/pubmed/34117617
http://dx.doi.org/10.1007/s40801-021-00260-9
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