Machine Learning Multicenter Risk Model to Predict Right Ventricular Failure After Mechanical Circulatory Support: The STOP-RVF Score.

JAMA Cardiology, EPUB Jan 31, 2024 https://jamanetwork.com/journals/jamacardiology/article-abstract/2814371 Taleb I, Kyriakopoulos CP, Fong R, Ijaz N, Demertzis Z, Sideris K, Wever-Pinzon O, Koliopoulou AG, Bonios MJ, Shad R, Peruri A, Hanff TC, Dranow E, Giannouchos TV, Krauspe E, Zakka C, Tang DG, Nemeh HW, Stehlik J, Fang JC, Selzman CH, Alharethi R, Caine WT, Cowger JA, Hiesinger W, Shah P, Drakos SG.

Contributing Centers: 1. U.T.A.H. (Utah Transplant Affiliated Hospitals) Cardiac Transplant Program: University of Utah Health and School of Medicine, Intermountain Medical Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA, 2. Department of Cardiothoracic Surgery, Stanford University, Stanford, California, USA, 3. Heart Failure, Mechanical Circulatory Support & Transplant, Inova Heart & Vascular Institute, Falls Church, Virginia, USA, 4. Henry Ford Medical Center, Detroit, Michigan, USA, 5. Onassis Cardiac Surgery Center, Athens, Greece, 6. Division of Cardiovascular Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA, 7. Department of Health Policy and Organization, School of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama, USA.

  • CVRTI
  • School of Medicine
  • University of Utah