Predicting Heart Failure Outcomes Using Patient-Reported Health Status: Real-World Validation of the KCCQ-12 | JACC
JACC This Week · American College of Cardiology
June 9, 20259m 48s
Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
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.