ArticleJournal of arrhythmia2023
Serotonin antidepressants and atrial fibrillation burden from cardiac implantable electronic devices.
Article in Journal of arrhythmia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Mental Health Across the Atrial Fibrillation Continuum: Mechanisms, Outcomes, and Clinical Implications.Life (Basel, Switzerland) · 2026Review
- The Anxiety-AFib connection: a systematic review of mental health and arrhythmia interactions.Global cardiology science & practice · 2026Review
- Role of Vasoactive Hormone-Induced Signal Transduction in Cardiac Hypertrophy and Heart Failure.Cells · 2024Review
- Serotonin antidepressants and atrial fibrillation burden from cardiac implantable electronic devices.Journal of arrhythmia · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Depression and anxiety show a bidirectional relationship with atrial fibrillation (AF). Antidepressant use is associated with a reduction in the incidence of AF. However, no studies have examined the relationship between antidepressant use and AF burden (time in AF). This retrospective cohort study examined cardiac implantable device-detected AF episodes and their relationship with antidepressant use, among other treatment factors. Methods: Consecutive patients from the Western Health Cardiology Department attending pacemaker checks between 2015 and 2021 were included. Patients with permanent AF were excluded, yielding 285 patients with no or paroxysmal AF, with a total of 772 patient encounters. Generalized estimating equations were used to model two processes: binary AF (present/absent) and the number of days in AF for patients with AF. Results: Each yearly increase with age was associated with an increase in the odds of developing AF (OR 1.03 [1.00-1.05], Conclusions: Older age, female gender and digoxin are associated with a higher odds of developing incident AF. Sotalol, heart failure beta blockers and serotonin-based antidepressants are associated with reduced AF burden. Further prospective study into the effects of antidepressants on atrial arrhythmias is warranted.
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Registered trials
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