MAGGIC and PREDICT-HF models in the VICTOR trial: do traditional risk scores still work in well-treated ambulatory patients with heart failure with reduced ejection fraction?
Year: 2026
Type: article
Abstract: In clinical practice, risk stratification in heart failure with reduced ejection fraction (HFrEF) still relies largely on traditional markers such as New York Heart Association (NYHA) class,
DOI: 10.1093/ejhf/xuag297
Authors: Michele Senni, Javed Butler, Derek Cyr, Kevin J Anstrom, Irina Barash, Marc P Bonaca, Matthew Budoff, Myeong-Chan Cho, Maria Generosa Crespo-Leiro, Stefano Corda, Justin Ezekowitz, Carolyn S P Lam, Eldrin F Lewis, JoAnn Lindenfeld, Ciaran J McMullan, Robert J Mentz, Christopher M O’Connor, Piotr Ponikowski, Yogesh N V Reddy, Giuseppe Rosano, Clara Saldarriaga, James Udelson, Jose Vazquez-Tanus, Adriaan A Voors, Faiez Zannad
Institutions: Ospedale Papa Giovanni XXIII, University of Milano-Bicocca, University of Mississippi, Baylor Scott & White Research Institute, Duke University, Duke Clinical Research Institute, University of North Carolina at Chapel Hill, Merck & Co., Inc., Rahway, NJ, USA (United States), University of Colorado Anschutz, University of Colorado Denver, University of California, Los Angeles, Chungbuk National University, Chungbuk National University Hospital, Centro de Investigación en Red en Enfermedades Cardiovasculares, Complexo Hospitalario Universitario A Coruña, Instituto de Investigación Biomédica de A Coruña, Bayer (Switzerland), University of Alberta, Canadian VIGOUR Centre, National University of Singapore, National University Heart Centre Singapore, Duke-NUS Medical School, National Heart Centre Singapore, Stanford Medicine, Stanford University, Vanderbilt University Medical Center, Inova Health System, Wroclaw Medical University, Mayo Clinic, IRCCS San Raffaele Roma, Universidad de Antioquia, Tufts University, Tufts Medical Center, Ponce Health Sciences University, University Medical Center Groningen, University of Groningen, Inserm, Centre Hospitalier Régional et Universitaire de Nancy, Université de Lorraine
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7213967701