Cardiology

A cross-sectional study found that poorer sleep quality was significantly associated with lower self-care scores in patients with heart failure, suggesting sleep may be an important target for future interventions.

Machine learning models accurately predicted postoperative delirium in patients undergoing cardiac surgery, while clustering analysis identified distinct patient subgroups with substantially different delirium burdens.

A new AI-powered cardiovascular platform combines ASCVD risk assessment, bilingual education, and clinician dashboards to improve patient engagement, cardiovascular health literacy, and early risk detection.

Routine screening during coronary angiography identified uncontrolled cardiovascular risks and undiagnosed diabetes.

A study of 5,601 adults found adverse adulthood experiences were associated with advanced CKM syndrome, while the combination of adversity and depressive symptoms was linked to the highest risk.

A systematic review and meta-analysis found deep learning models achieved high sensitivity and specificity for valvular heart disease detection on echocardiography.

Stopping beta-blockers years after myocardial infarction was non-inferior to continued treatment in stable patients.

Continuous urine output monitoring achieved near perfect agreement with gold standard measurements and significantly outperformed visual inspection in patients recovering from CABG surgery.