Preoperative Predictors of Arthroscopic Partial Meniscectomy Outcomes: The APM Index Score

Natalie A Lowenstein1, Yuchiao Chang2, Hanna Mass3

  • 1Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Abstract

Insights

A new index score predicts success after arthroscopic partial meniscectomy (APM). Shorter symptom duration and lower Kellgren-Lawrence grade improve outcomes, aiding patient selection for APM.

Area of Science:

  • Orthopedic Surgery
  • Biostatistics
  • Patient Outcomes Research

Background:

  • Preoperative risk factors for poor outcomes after arthroscopic partial meniscectomy (APM) lack a consolidated predictive index.
  • Existing literature has not codified these factors into a usable scoring system for APM success.

Purpose of the Study:

  • To develop an index score utilizing preoperative factors to predict favorable postoperative outcomes following APM.
  • To provide a tool for clinicians to better estimate the likelihood of success for individual patients undergoing APM.

Main Methods:

  • A case-control study involving 468 patients undergoing primary APM.
  • Collection of preoperative and postoperative patient-reported outcome measures (PROMs), including KOOS, VAS, VR-12, and MARS.
  • Multivariable logistic regression to identify independent predictors of clinical improvement, followed by development of a points-based index score.

Main Results:

  • Shorter symptom duration (<6 months), lower Kellgren-Lawrence (KL) grade (0-2), and lower preoperative KOOS Pain scores (<60) were significant predictors of clinical improvement at 1 year.
  • The developed index score demonstrated a strong correlation with achieving minimal clinically important difference (MCID), with scores of 3 and 4 predicting 89% and 96% likelihood of MCID, respectively.
  • Longer symptom duration and higher KL grade were associated with decreased likelihood of clinical improvement.

Conclusions:

  • An index score based on preoperative factors can effectively identify patients likely to achieve clinical improvement after APM.
  • This tool aids in patient selection and expectation management for arthroscopic partial meniscectomy.
  • Symptom duration and preoperative radiographic severity (KL grade) are key factors influencing APM outcomes.

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