Peer-Reviewed Publication
JACC Adv2025;4(3):101619.March 1, 2025Journal Article
Automated Detection of Reduced Ejection Fraction Using an ECG-Enabled Digital Stethoscope: A Large Cohort Validation.
Ling Guo1, Gregg S Pressman2, Spencer N Kieu1, Scott B Marrus3, George Mathew1, John Prince1, Emileigh Lastowski1, Rosalie V McDonough1, Caroline Currie1, Urvi Tiwari1, John N Maidens1, Hussein Al-Sudani3, Evan Friend2, Deepak Padmanabhan4, Preetham Kumar5, Edward Kersh6, Subramaniam Venkatraman1, Salima Qamruddin7
1Eko Health, Inc, Emeryville, California, USA.
2Jefferson Einstein Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
3Prairie Education & Research Cooperative, Springfield, Illinois, USA.
4Sri Jayadeva Institute of Cardiovascular Sciences and Research, Bengaluru, India.
5Heart and Vascular Institute, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
6Sutter Care at Home, Fairfield, California, USA.
7Ochnser Heart and Vascular Institute, Ochsner Medical Center, New Orleans, Louisiana, USA. Electronic address: salimaq5@gmail.com.
Abstract
BACKGROUND: Asymptomatic left ventricular systolic dysfunction (ALVSD) affects 7 million globally, leading to delayed diagnosis and treatment, high mortality, and substantial downstream health care costs. Current detection methods for ALVSD are inadequate, necessitating the development of improved diagnostic tools. Recently, electrocardiogram-based algorithms have shown promise in detecting ALVSD.…
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