Prospective multicenter external validation of the rib fracture frailty index.

Journal: The journal of trauma and acute care surgery
Published Date: Apr 14, 2025

Abstract

BACKGROUND: The Rib Fracture Frailty (RFF) Index is an internally validated machine learning-based risk assessment tool for adult patients with rib fractures that requires minimal provider entry. Existing frailty risk scores have yet to undergo head-to-head performance comparison with age, a widely used proxy for frailty in clinical practice. Our aim was to externally validate the RFF Index in a small-scale implementation feasibility study.

Authors

  • Jeff Choi
    From the Division of General Surgery (J.C., K.M., D.I.H., J.D.F.), Department of Surgery, Department of Biomedical Data Science (J.C.), Stanford University; Program in Epithelial Biology (N.Y.L.), Stanford University School of Medicine; and Department of Computer Science (A.P., K.C.), Stanford University, Stanford, California.
  • Joshua A Villarreal
    Department of Surgery, Stanford University, Stanford, California.
  • Rachel Handelsman
  • Jacob Kirkorowciz
  • Ariel Knight
  • Arathi Kumar
  • Emily McNabb
  • Jon Perlstein
  • Ronald B Tesoriero
  • Elaina Y Tsui
  • Cheri White
  • Joseph D Forrester

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