The Impact of Changes in Depression on Cardiovascular Outcomes in Patients With Coronary Heart Disease

Nishant Vatsa1, Josiah Bennett2, Sonika Vatsa3

  • 1Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.

JACC. Advances
|November 8, 2024
PubMed

Insights

Increasing or persistent depression significantly predicts major adverse cardiovascular events (MACE) in patients with coronary heart disease (CHD). Monitoring depression changes is crucial for cardiovascular risk assessment in CHD patients.

Area of Science:

  • Cardiology
  • Psychiatry
  • Public Health

Background:

  • Depression is a known risk factor for major adverse cardiovascular events (MACE).
  • The impact of longitudinal changes in depression on MACE in coronary heart disease (CHD) patients is not well understood.
  • This study investigates the relationship between evolving depressive symptoms and cardiovascular outcomes in individuals with CHD.

Purpose of the Study:

  • To test the hypothesis that increasing or persistent depression predicts MACE in patients with CHD.
  • To analyze how changes in depressive symptom scores over time correlate with the incidence of MACE.
  • To identify specific depression trajectories associated with increased cardiovascular risk.

Main Methods:

  • Utilized data from the Emory Cardiovascular Biobank, including 3,483 participants initially assessed for depression using the Patient Health Questionnaire 8 (PHQ8).
  • Follow-up questionnaires at 1 year assessed changes in depressive symptoms, categorizing participants into 'never depression,' 'new depression,' 'remitted depression,' and 'persistent depression' groups.
  • Fine-Gray competing risk models were employed to evaluate the association between depression changes and MACE, adjusting for relevant covariates.

Main Results:

  • A total of 2,639 participants completed the 1-year follow-up. The overall incidence of MACE was 14%.
  • Increasing depressive symptoms, as measured by PHQ8, independently predicted MACE (subdistribution HR: 1.06).
  • Persistent depression (20.8%) and new depression (11.9%) were associated with significantly higher MACE incidence compared to never depression (8%). Persistent depression showed a strong independent prediction for MACE (subdistribution HR: 2.78).

Conclusions:

  • The study concludes that both increasing and persistent depression are significant predictors of MACE in individuals with CHD.
  • These findings underscore the importance of monitoring and managing depression in patients with coronary heart disease to mitigate cardiovascular risk.
  • Longitudinal assessment of depressive symptoms provides valuable prognostic information for cardiovascular events in CHD patients.
Abstract

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