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Do Positive Psychosocial Factors Contribute to the Prediction of Coronary Artery Disease? A UK Biobank-Based Machine Learning Approach.

René HeftiSouad GuemgharEdouard BattegayChristian MuellerHarold G KoenigRainer SchaefertGunther Meinlschmidt
Published in: European journal of preventive cardiology (2024)
PPFs were individually linked to CAD risk, in line with previous studies, and as reflected by the new European Society of Cardiology guidelines on cardiovascular disease prevention. However, including available PPFs in CAD-prediction models did not improve prediction compared to the FRS alone. Future studies should explore whether PPFs may act as CAD-risk modifiers, especially if the individual's risk is close to a decision threshold.
Keyphrases
  • coronary artery disease
  • cardiovascular disease
  • machine learning
  • cardiovascular events
  • heart failure
  • mental health
  • metabolic syndrome
  • acute kidney injury
  • artificial intelligence
  • cardiac surgery
  • decision making