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Risk of bleeding associated with antidepressants: impact of causality assessment and competition bias on signal detection

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peer-reviewed

Erstveröffentlichung
2021-10-21
Authors
Zeiss, René
Connemann, Bernhard J.
Schönfeldt Lecuona, Carlos José
Gahr, Maximilian
Wissenschaftlicher Artikel


Published in
Frontiers in Psychiatry ; 12 (2021). - Art.-Nr. 727687. - eISSN 1664-0640
Link to original publication
https://dx.doi.org/10.3389/fpsyt.2021.727687
Institutions
UKU. Klinik für Psychiatrie und Psychotherapie III
Document version
published version (publisher's PDF)
Abstract
Introduction: Until now, methods of pharmacovigilance as disproportionality analysis were not capable of proving the otherwise well-established increased bleeding risk related to antidepressants (ADs). As bleeding events with ADs often occur in combination with antithrombotics, they might not be considered causative of, but merely “linked” with, the bleeding event. Therefore, we hypothesized that the causality assessment of bleeding events in association with ADs and the competitive impact of antithrombotics are factors contributing to the non-findings of previous pharmacovigilance studies. Methods: We performed a case/non-case study based on data from VigiBaseTM and calculated reporting odds ratios (RORs) for 25 ADs. We used individual case safety reports (ICSRs) that were differently categorized in the database regarding their type of association between drug and event. Furthermore, we investigated the competitive impact of antithrombotics by comparing RORs with and without ICSRs related to antithrombotics. Results: Analysis of ICSRs that were categorized as causally associated resulted in the detection of only two signals (citalopram and escitalopram; upper gastrointestinal bleeding). Analysis of ICSRs irrespective of the type of association resulted in the detection of signals in 8 out of 25 ADs (regarding bleeding, in general, gastrointestinal bleeding and upper gastrointestinal bleeding). Consideration of ICSRs associated with antithrombotics as competitive substances did not have a major impact on signal detection in our analysis. Conclusion: Categorization of the type of association between drug and event affects the results of quantitative signal detection. Causality assessment seems to play a major role in signal detection, probably particularly concerning rare, unknown, or clinically insignificant adverse drug reactions. ADs appear to significantly increase the bleeding risk, even independent of antithrombotic comedication.
Publication funding
Open-Access-Förderung durch die Medizinische Fakultät der Universität Ulm
Is supplemented by
https://www.frontiersin.org/articles/10.3389/fpsyt.2021.727687/full#supplementary-material
Subject headings
[GND]: Antidepressivum | Arzneimittelüberwachung
[MeSH]: Pharmacovigilance | Antidepressive agents | Serotonin uptake inhibitors
[Free subject headings]: Antidepressants | Serotonin transporter | Bleeding risk | Competition bias
[DDC subject group]: DDC 610 / Medicine & health
License
CC BY 4.0 International
https://creativecommons.org/licenses/by/4.0/

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-41442

Zeiss, René et al. (2022): Risk of bleeding associated with antidepressants: impact of causality assessment and competition bias on signal detection. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-41442
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