Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

Journal: Circulation. Arrhythmia and electrophysiology
PMID: 39925268

Abstract

BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia freedom despite a lack of acute success. We hypothesized that acute and chronic AF ablation outcomes may reflect distinct physiology and used machine learning of multimodal data to identify their phenotypes.

Authors

  • Prasanth Ganesan
    Stanford University Department of Medicine, Stanford, CA, United States of America.
  • Maxime Pedron
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Ruibin Feng
  • Albert J Rogers
    Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
  • Brototo Deb
    Department of Medicine, MedStar Georgetown University - Washington Hospital Center, Washington DC, USA.
  • Hui Ju Chang
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Samuel Ruiperez-Campillo
  • Viren Srivastava
    Division of Cardiology, Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, USA (P.G., M.P., R.F., A.J.R., B.D., H.J.C., S.R.-C., V.S., K.A.B., T.B., P.C., P.J.W., S.M.N.).
  • Kelly A Brennan
  • Wayne R Giles
    University of Calgary, Alberta, Canada (W.G.).
  • Tina Baykaner
    Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University.
  • Paul Clopton
    Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University.
  • Paul J Wang
    Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University.
  • Ulrich Schotten
    Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands.
  • David E Krummen
    Department of Medicine (D.E.K.), University of California, San Diego.
  • Sanjiv M Narayan
    Biomedical Informatics Training Program (L.H., S.M.N.), Stanford University, CA.

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