Cargando…

Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection

Introduction: It has not yet been possible to demonstrate the well-established increased bleeding risk related to antidepressants (ADs) with methods of pharmacovigilance as disproportionality analysis. As bleeding events related to ADs often occur under comedication with antithrombotics, ADs might n...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeiss, René, Connemann, Bernhard J., Schönfeldt-Lecuona, Carlos, Gahr, Maximilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566746/
https://www.ncbi.nlm.nih.gov/pubmed/34744821
http://dx.doi.org/10.3389/fpsyt.2021.727687
_version_ 1784594080540393472
author Zeiss, René
Connemann, Bernhard J.
Schönfeldt-Lecuona, Carlos
Gahr, Maximilian
author_facet Zeiss, René
Connemann, Bernhard J.
Schönfeldt-Lecuona, Carlos
Gahr, Maximilian
author_sort Zeiss, René
collection PubMed
description Introduction: It has not yet been possible to demonstrate the well-established increased bleeding risk related to antidepressants (ADs) with methods of pharmacovigilance as disproportionality analysis. As bleeding events related to ADs often occur under comedication with antithrombotics, ADs might not be considered causative of, but merely “linked” with the bleeding event. Therefore, we hypothesized that causality assessment of bleeding events related to ADs and the competitive impact of antithrombotics are factors contributing to the mentioned previous non-findings. Methods: We performed a case/non-case study based on data from VigiBase™ and calculated reporting odds ratios (RORs) for 25 ADs. We used individual case safety reports (ICSRs) that were differently categorized in the database regarding the type of association between drug and event. Furthermore, we investigated the competitive impact of antithrombotics by comparing RORs calculated with and without ICSRs related to antithrombotics. Results: Analysis of ICSRs that were categorized as causally associated with ADs resulted in detection of only 2 signals (citalopram and escitalopram; upper gastrointestinal bleeding). Analysis of ICSRs irrespective of the type of association resulted in detection of 8 signals (regarding bleeding in general, gastrointestinal bleeding and upper gastrointestinal bleeding). In our analysis, consideration of ICSRs associated with antithrombotics as competitive substances did not have significant impact on signal detection. Conclusion: Categorization of the type of association between drug and event may affect quantitative signal detection toward reduced sensitivity. Causality assessment seems to significantly impact signal detection, probably particularly in rare, unknown, or clinically unremarkable adverse drug reactions. ADs appear to increase the bleeding risk considerably, even independent of antithrombotic comedication.
format Online
Article
Text
id pubmed-8566746
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85667462021-11-05 Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection Zeiss, René Connemann, Bernhard J. Schönfeldt-Lecuona, Carlos Gahr, Maximilian Front Psychiatry Psychiatry Introduction: It has not yet been possible to demonstrate the well-established increased bleeding risk related to antidepressants (ADs) with methods of pharmacovigilance as disproportionality analysis. As bleeding events related to ADs often occur under comedication with antithrombotics, ADs might not be considered causative of, but merely “linked” with the bleeding event. Therefore, we hypothesized that causality assessment of bleeding events related to ADs and the competitive impact of antithrombotics are factors contributing to the mentioned previous non-findings. Methods: We performed a case/non-case study based on data from VigiBase™ and calculated reporting odds ratios (RORs) for 25 ADs. We used individual case safety reports (ICSRs) that were differently categorized in the database regarding the type of association between drug and event. Furthermore, we investigated the competitive impact of antithrombotics by comparing RORs calculated with and without ICSRs related to antithrombotics. Results: Analysis of ICSRs that were categorized as causally associated with ADs resulted in detection of only 2 signals (citalopram and escitalopram; upper gastrointestinal bleeding). Analysis of ICSRs irrespective of the type of association resulted in detection of 8 signals (regarding bleeding in general, gastrointestinal bleeding and upper gastrointestinal bleeding). In our analysis, consideration of ICSRs associated with antithrombotics as competitive substances did not have significant impact on signal detection. Conclusion: Categorization of the type of association between drug and event may affect quantitative signal detection toward reduced sensitivity. Causality assessment seems to significantly impact signal detection, probably particularly in rare, unknown, or clinically unremarkable adverse drug reactions. ADs appear to increase the bleeding risk considerably, even independent of antithrombotic comedication. Frontiers Media S.A. 2021-10-21 /pmc/articles/PMC8566746/ /pubmed/34744821 http://dx.doi.org/10.3389/fpsyt.2021.727687 Text en Copyright © 2021 Zeiss, Connemann, Schönfeldt-Lecuona and Gahr. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Zeiss, René
Connemann, Bernhard J.
Schönfeldt-Lecuona, Carlos
Gahr, Maximilian
Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title_full Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title_fullStr Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title_full_unstemmed Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title_short Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection
title_sort risk of bleeding associated with antidepressants: impact of causality assessment and competition bias on signal detection
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566746/
https://www.ncbi.nlm.nih.gov/pubmed/34744821
http://dx.doi.org/10.3389/fpsyt.2021.727687
work_keys_str_mv AT zeissrene riskofbleedingassociatedwithantidepressantsimpactofcausalityassessmentandcompetitionbiasonsignaldetection
AT connemannbernhardj riskofbleedingassociatedwithantidepressantsimpactofcausalityassessmentandcompetitionbiasonsignaldetection
AT schonfeldtlecuonacarlos riskofbleedingassociatedwithantidepressantsimpactofcausalityassessmentandcompetitionbiasonsignaldetection
AT gahrmaximilian riskofbleedingassociatedwithantidepressantsimpactofcausalityassessmentandcompetitionbiasonsignaldetection