Cleaning Up the MESS: Can Machine Learning Be Used to Predict Lower Extremity Amputation after Trauma-Associated Arterial Injury?

Journal: Journal of the American College of Surgeons
Published Date:

Abstract

BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascular, trauma, and orthopaedic surgery have rendered the sensitivity of this score obsolete. A significant number of patients receive amputation during subsequent admissions, which are often missed in the analysis of amputation at the index admission. We aimed to identify risk factors for and predict amputation on initial admission or within 30 days of discharge (peritraumatic amputation [PTA]).

Authors

  • Siavash Bolourani
    Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.
  • Dane Thompson
    Feinstein Institute for Medical Research, Manhasset, NY; Elmezzi Graduate School of Molecular Medicine, Manhasset, NY; Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Sara Siskind
    Feinstein Institute for Medical Research, Manhasset, NY; Elmezzi Graduate School of Molecular Medicine, Manhasset, NY; Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Bilge D Kalyon
    Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY; Acute Care Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
  • Vihas M Patel
    Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY.
  • Firas F Mussa
    Department of Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY; Divisions of Vascular and Endovascular Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY. Electronic address: fmussa@northwell.edu.