Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation.

Journal: The spine journal : official journal of the North American Spine Society
Published Date:

Abstract

BACKGROUND CONTEXT: Among adult spinal deformity (ASD) patients, heterogeneity in patient pathology, surgical expectations, baseline impairments, and frailty complicates comparisons in clinical outcomes and research. This study aims to qualitatively segment ASD patients using machine learning-based clustering on a large, multicenter, prospectively gathered ASD cohort.

Authors

  • Sarthak Mohanty
    Department of Orthopaedics, Columbia University Medical Center, New York, NY, USA.
  • Fthimnir M Hassan
    Department of Orthopaedics, Columbia University Medical Center, New York, NY, USA. Electronic address: fh2444@cumc.columbia.edu.
  • Lawrence G Lenke
    Division of Spine Surgery, Columbia University Department of Orthopedic Surgery, The Spine Hospital at New York Presbyterian/Allen, 5141 Broadway, New York, NY 10034, USA. Electronic address: LL2989@cumc.columbia.edu.
  • Erik Lewerenz
    Department of Orthopaedics, Columbia University Medical Center, New York, NY, USA.
  • Peter G Passias
    Langone Medical Center, New York University, New York City, NY, USA.
  • Eric O Klineberg
    University of California, UC Davis Medical Center, Sacramento, CA, USA.
  • Virginie Lafage
    Department of Orthopaedic Surgery, NYU Hospital for Joint Diseases, 306 E 15th Street, Suite 1F, New York, NY 10003, USA.
  • Justin S Smith
    Department of Neurosurgery, University of Virginia Health System, 1215 Lee St, Charlottesville, VA 22903, USA.
  • D Kojo Hamilton
    University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Jeffrey L Gum
    Leatherman Spine Center, Louisville, KY, USA.
  • Renaud Lafage
    Spine Research Laboratory, Hospital for Special Surgery, 535 E 71st Street, New York, NY, 10021, USA.
  • Jeffrey Mullin
    Department of Neurosurgery, State University of New York, Buffalo, NY.
  • Bassel Diebo
    Department of Orthopaedic Surgery, University Orthopedics, Providence, RI, USA.
  • Thomas J Buell
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.
  • Han Jo Kim
    Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York, USA.
  • Khalid Kebaish
    Department of Orthopaedic Surgery, John Hopkins Medical Institute, Baltimore, MD, USA.
  • Robert Eastlack
    San Diego Spine, La Jolla, San Diego, CA, USA.
  • Alan H Daniels
    1Division of Spine Surgery and.
  • Gregory Mundis
    San Diego Spine, La Jolla, San Diego, CA, USA.
  • Richard Hostin
    Department of Orthopaedic Surgery, Southwest Scoliosis and Spine Institute, Dallas, TX, USA.
  • Themistocles S Protopsaltis
    Department of Orthopaedic Surgery, New York University Langone Medical Center, New York, NY, USA.
  • Robert A Hart
    Department of Orthopaedic Surgery, Oregon Health & Science University, 3182 SW Sam Jackson Park Rd; Ortho Dept MC: OP31, Portland, OR 97239, USA.
  • Munish Gupta
    Department of Orthopaedic Surgery, Washington University, St. Louis, Missouri, USA.
  • Frank J Schwab
    Spine Research Laboratory, Hospital for Special Surgery, 535 E 71st Street, New York, NY, 10021, USA.
  • Christopher I Shaffrey
    Department of Neurosurgery, University of Virginia Health System, 1215 Lee St, Charlottesville, VA 22903, USA.
  • Christopher P Ames
    Department of Neurological Surgery, University of California, San Francisco, CA, USA.
  • Douglas Burton
    Department of Orthopaedic Surgery, University of Kansas Medical Center, Kansas City, Kansas.
  • Shay Bess
    Rocky Mountain Hospital for Children, 2055 High Street, Suite 130, Denver, CO 80205, USA.