Underestimated prognostic value of depression in patients with obstructive coronary artery disease

Quanjun Liu1,2, Han Yin1, Cheng Jiang1

  • 1Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.

Insights

Depression predicts worse outcomes in coronary artery disease (CAD) patients with preserved heart function (LVEF ≥50%), but less so in those with reduced function. This highlights the need to consider depression in risk prediction models for CAD patients with normal LVEF.

Area of Science:

  • Cardiology
  • Psychiatry
  • Clinical Research

Background:

  • Coronary artery disease (CAD) is a leading cause of mortality worldwide.
  • Depression is a common comorbidity in patients with cardiovascular diseases.
  • The predictive value of depression on clinical outcomes may vary based on cardiac systolic function.

Purpose of the Study:

  • To investigate the differential predictive values of depression in patients with obstructive coronary artery disease (CAD) across varying levels of cardiac systolic function.
  • To assess the association between depression and major adverse cardiovascular events (MACEs), non-cardiac rehospitalizations, and mortality.

Main Methods:

  • A cohort of 483 patients with obstructive CAD were assessed for depressive symptoms using the Patient Health Questionnaire 9 (PHQ-9) (score ≥5 defined depression).
  • Cardiac systolic function was categorized by left ventricular ejection fraction (LVEF) as preserved (≥50%) or reduced (<50%).
  • Clinical outcomes including MACEs, non-cardiac rehospitalizations, and death were tracked over a median of 26.2 months.

Main Results:

  • Depression was significantly associated with increased risks of cardiovascular events and composite outcomes in patients with preserved LVEF.
  • In the overall population, the predictive value of depression for MACEs, non-cardiac rehospitalizations, and composite endpoints was diminished.
  • Receiver operating characteristic (ROC) analyses indicated depression as a key predictor, with AUC reaching 0.64-0.67 when combined with other features.

Conclusions:

  • Contrary to general assumptions, depression shows a stronger link to adverse clinical outcomes in CAD patients with preserved LVEF compared to those with reduced LVEF.
  • These findings underscore the importance of addressing depressive symptoms in CAD patients with normal systolic function.
  • Integrating psychological factors like depression into risk prediction models for CAD patients may enhance prognostic accuracy.
Abstract

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