Establishing Clinically Distinct Patient Treatment Subgroups Following Anterior Cruciate Ligament Reconstruction: A Machine Learning Clustering Analysis.

Journal: The American journal of sports medicine
Published Date: Aug 15, 2025

Abstract

BACKGROUND: Treatment decisions in patients with anterior cruciate ligament (ACL) injuries are influenced by multiple factors, such as the desire to return to sports or symptomatic instability. Identifying the differential treatment effect of ACL reconstruction (ACLR) compared with nonoperative management on a patient-specific level can inform surgical decision-making.

Authors

  • Yining Lu
    Department of Orthopaedic Surgery, Mayo Clinic, Rochester, Minnesota, U.S.A.. Electronic address: lu.yining@mayo.edu.
  • Louis Kang
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Sophia Mavrommatis
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Mario Hevesi
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Kelechi R Okoroha
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Daniel B F Saris
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Aaron J Krych
    Orthopedic Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Christopher L Camp
    Department of Orthopedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Adam J Tagliero
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.

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