Literature DB >> 30990407

Association between depression and risk of triggering ventricular arrhythmias: A meta-analysis.

Yu Fu, Xiaoting Shen, Wenbin Huang.   

Abstract

BACKGROUND: This meta-analysis aims to clarify the effects of depression on the risk of ventricular arrhythmias.
MATERIALS AND METHODS: A systematic search was performed in PubMed, EMBASE, Web of Science, and the Cochrane Library. Summary hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated employing random-effects models. Publication bias of the literature was evaluated using Begg's funnel plots and Egger's test.
RESULTS: A total of nine prospective cohort studies were included in this meta-analysis. Overall, participants with depression, as compared to those who had no depression, experienced a significantly increased risk of developing ventricular arrhythmia (combined HR, 1.33; 95% CI, 1.02 - 1.73; p = 0.037). In a subgroup analysis, a statistically-significant relation between depression and risk of ventricular arrhythmia was observed in coronary heart disease (CHD) patients and in studies with adjustment for confounding factors, with pooled HR at a 95% CI of 1.78 (1.31 - 2.42) and 1.52 (1.11 - 2.08), respectively. No publication bias was detected by Begg's funnel plot and Egger's test.
CONCLUSION: This meta-analysis suggests that depression in patients was associated with increased risk of developing ventricular arrhythmias, especially in patients with CHD. Cardiologists and psychiatrists should be alert to the risk of ventricular arrhythmia in patients with depression. Moreover, the antidepressant medications (e.g., tricyclic antidepressants and selective serotonin reuptake inhibitors) that could affect heart rate variability should be used carefully.

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Mesh:

Year:  2019        PMID: 30990407     DOI: 10.5414/CP203311

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  3 in total

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Journal:  Pacing Clin Electrophysiol       Date:  2021-05-28       Impact factor: 1.976

2.  Effects of Cognitive Behavior Therapy on Depression, Illness Perception, and Quality of Life in Atrial Fibrillation Patients.

Authors:  Qu Shan; Shi Xinxin; Xie Zhijuan; Ding Rongjing; Zheng Minjie
Journal:  Front Psychiatry       Date:  2022-05-06       Impact factor: 4.157

3.  Associations of Antidepressants With Atrial Fibrillation and Ventricular Arrhythmias: A Systematic Review and Meta-Analysis.

Authors:  Yalin Cao; Mingyu Zhou; Huaiyun Guo; Wengen Zhu
Journal:  Front Cardiovasc Med       Date:  2022-03-25
  3 in total

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