Is depression a real risk factor for acute myocardial infarction mortality? A retrospective cohort study

Silvia Cocchio1, Tatjana Baldovin1, Patrizia Furlan1

  • 1Department of Cardiac Thoracic Vascular Sciences and Public Health, Public Health Section, University of Padua, Via Loredan, 18, 35121, Padova, Italy.

BMC Psychiatry
|April 25, 2019
PubMed

Insights

Patients using antidepressants (ADs) before acute myocardial infarction (AMI) face higher mortality risks. This study highlights the importance of monitoring depression in cardiac patients for better outcomes.

Area of Science:

  • Cardiology
  • Psychiatry
  • Public Health

Background:

  • Depression is linked to increased cardiovascular event risk and mortality, especially with comorbidities.
  • Antidepressant (AD) use is a proxy for depression status.
  • The association between pre-acute myocardial infarction (AMI) antidepressant use and post-AMI mortality requires investigation.

Purpose of the Study:

  • To determine if continuous antidepressant use prior to AMI is associated with increased mortality after the event.
  • To assess the impact of antidepressant use on mortality outcomes in AMI patients.

Main Methods:

  • Retrospective cohort study using hospital discharge and mortality records (2002-2015) in the Veneto Region.
  • Identification of antidepressant users through drug purchase records.
  • Survival analysis using Kaplan-Meier and Cox regression models, adjusting for confounders.

Main Results:

  • Among 3985 AMI patients, 349 (8.8%) were classified as AD users.
  • Overall 30-day mortality post-AMI was 13.1%.
  • Antidepressant use was independently associated with higher mortality (adj OR = 1.75, 95% CI: 1.40-2.19) after adjusting for confounders.

Conclusions:

  • Antidepressant users hospitalized for AMI exhibit a poorer prognosis regarding mortality.
  • Routinely available health records can efficiently monitor subpopulations.
  • Early identification of AMI survivors with a history of antidepressant use is crucial for targeted monitoring.
Abstract

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