Predicting Heart Failure Outcomes Using Patient-Reported Health Status: Real-World Validation of the KCCQ-12 | JACC

In this episode, Dr. Valentin Fuster discusses groundbreaking research validating the Kansas City Cardiomyopathy Questionnaire (KCCQ-12) as a powerful real-world predictor of heart failure outcomes using advanced machine learning on outpatient data. Emphasizing the critical importance of patient-reported health status, he highlights that listening to patients remains essential even in an era dominated by AI-driven medicine.