Defining Clinically Meaningful Subgroups in Patients Undergoing Arthroscopic Rotator Cuff Repair Using Unsupervised Machine Learning.

Journal: Orthopaedic journal of sports medicine
Published Date: Jun 17, 2025

Abstract

BACKGROUND: Outcomes after arthroscopic rotator cuff repair (RCR) are frequently measured through clinically significant outcomes (CSOs) such as the minimal clinically important difference, the substantial clinical benefit, and the Patient Acceptable Symptom State. Global achievement of CSOs is challenging to predict.

Authors

  • Yining Lu
    Department of Orthopaedic Surgery, Mayo Clinic, Rochester, Minnesota, U.S.A.. Electronic address: lu.yining@mayo.edu.
  • Elyse J Berlinberg
    Midwest Orthopaedics at Rush, Chicago, Illinois, USA.
  • Kareme Alder
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Ethan Chervonski
    New York University Grossman School of Medicine, New York, NY, USA.
  • Harsh H Patel
    Midwest Orthopaedics at Rush, Chicago, Illinois, USA.
  • Morgan Rice
    Departments of Sports Medicine and Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Adam B Yanke
    Midwest Orthopaedics at Rush, Chicago, Illinois, USA.
  • Brian J Cole
    Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Nikhil N Verma
    Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Mario Hevesi
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Brian Forsythe
    Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.

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