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

ABSTRACT

AIM: Most prediction models for coronary artery disease (CAD) compile biomedical and behavioural risk factors, using linear multivariate models. This study explored the potential of integrating positive psychosocial factors (PPFs), including happiness, satisfaction with life, and social support, into conventional and machine learning-based CAD prediction models. METHODS: We included UK Biobank participants without CAD at baseline. First, we estimated associations of individual PPFs with subsequent acute myocardial infarction (AMI) and chronic ischaemic heart disease (CIHD) using logistic regression. Then, we compared the performances of logistic regression and eXtreme Gradient Boosting (XGBoost) prediction models when adding PPFs as predictors to the Framingham Risk Score (FRS). RESULTS: Based on a sample size between 160,226 and 441,419 of UK Biobank participants, happiness, satisfaction with health and life, and participation in social activities were linked to lower AMI and CIHD risk (all p-for-trend ≤ 0.04), while social support was not. In a validation sample, adding PPFs to the FRS using logistic regression and XGBoost prediction models improved neither AMI (AUC change 0.02% and 0.90%, respectively) nor CIHD (AUC change -1.10% and -0.88%, respectively) prediction. CONCLUSIONS: 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.

Positive psychosocial factors like happiness, satisfaction with health and life, social support and social activities can aid in successfully managing life's challenges, stress and disease. Consequently, they may help lower the risk and progression of cardiovascular disease. The study confirmed that positive psychosocial factors were associated with lower risks of myocardial infarction and chronic ischaemic heart disease. These findings underscore the role of positive psychosocial factors as risk modifiers for coronary artery disease, as recom-mended by the 2021 ESC Guidelines on cardiovascular disease prevention. This means that the individual risk of getting a coronary artery disease can be shifted to the next lower risk category by higher levels of happiness, satisfaction with health and life, and social support.