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Indian Journal of Pharmacology

Impact of antidepressants use on risk of myocardial infarction: A systematic review and meta-analysis.

Rakstu tulkošanu var veikt tikai reģistrēti lietotāji
Ielogoties Reģistrēties
Saite tiek saglabāta starpliktuvē
Krishna Undela
Gurumurthy Parthasarathi
Sharon Sunny John

Atslēgvārdi

Abstrakts

OBJECTIVE

The aim of the study was to perform a systematic review and meta-analysis to determine the association between antidepressants use and risk of myocardial infarction (MI), and whether this association differs between tricyclic antidepressants (TCAs) and selective serotonin reuptake inhibitors (SSRIs).

METHODS

A PubMed/MEDLINE search was conducted for studies published up to December 2013. Included studies were evaluated for publication bias and heterogeneity. Depending on the presence of heterogeneity, a random or fixed effects model was used to identify the pooled relative risk (RR) with 95% confidence intervals (CIs). Cumulative meta-analysis, subgroup and sensitivity analyses were also performed. All analyses were performed using comprehensive meta-analysis software.

RESULTS

Fourteen (five cohort and nine case-control) studies were included. There was heterogeneity among the studies (P heterogeneity = 0.02; I (2) = 68%) but no publication bias (Begg's P = 0.30 and Egger's P = 0.45). Antidepressants use significantly increases the risk of myocardial infarction (MI) (RR = 2.03; 95% CI = 1.30-3.18; P < 0.01). On subgroup analysis by study design, cohort studies show significant positive association (RR = 2.16; 95% CI = 1.42-3.29; P < 0.01), but not case-control studies (RR = 2.47; 95% CI = 0.69-8.90; P = 0.17). Sensitivity analysis and cumulative meta-analysis confirmed the stability of results. TCAs users are having 36% increased risk of MI after excluding one outlier (RR = 1.36; 95% CI = 1.10-1.67; P < 0.01), but SSRIs showing no association (RR = 0.84; 95% CI = 0.57-1.22; P = 0.35).

CONCLUSIONS

We found evidence that the use of antidepressants was associated with elevated risk of MI. Further research is needed to identify the underlying biological mechanisms.

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