Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm.

Journal: JACC. Advances
Published Date: Jun 24, 2025

Abstract

BACKGROUND: Length of stay following transcatheter aortic valve replacement (TAVR) continues to improve, but significant gaps remain in predicting the length of stay following TAVR.

Authors

  • Gregory L Judson
    Department of Medicine Division of Cardiology, University of California-San Francisco, San Francisco, California, USA; Department of Medicine Division of Cardiology, Maine Medical Center, Portland, Maine, USA.
  • Jeff Luck
    Biome Analytics, Chicago, Illinois, USA.
  • Skye Lawrence
    Biome Analytics, Chicago, Illinois, USA.
  • Rakan Khaki
    Biome Analytics, Chicago, Illinois, USA.
  • Harsh Agrawal
    Department of Medicine Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
  • Krishan Soni
    Department of Medicine Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
  • Kirsten Tolstrup
    Department of Medicine Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
  • Vijayadithyan Jaganathan
    University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
  • Vaikom S Mahadevan
    Division of Cardiology University of California San Francisco San Francisco CA.

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