There is no such thing like a single ACL injury: Profiles of ACL-injured patients

R Seil1, C Mouton2, A Lion2

  • 1Sports Clinic, clinique d'Eich, Academic Teaching Hospital of the Saarland University Medical Centre, centre hospitalier de Luxembourg, 76, rue d'Eich, 1460 Luxembourg, Luxembourg; Sports Medicine Research Laboratory, Luxembourg Institute of Health, 76, rue d'Eich, 1460 Luxembourg, Luxembourg; Cartilage Net of the Greater Region Saar-Lor-Lux, Luxembourg, Luxembourg.

Insights

This study identified distinct patient subtypes for anterior cruciate ligament (ACL) injuries, revealing that treatment decisions for ACL reconstruction vary significantly based on age, gender, and activity level. Understanding these profiles aids in personalized treatment and injury prevention.

Area of Science:

  • Orthopedics
  • Sports Medicine
  • Biostatistics

Background:

  • Current anterior cruciate ligament (ACL) registries often exclude non-operatively treated patients, leading to an incomplete understanding of the ACL-injured population.
  • This study aimed to characterize the patient population and treatment decisions within an intrahospital registry.
  • Hypotheses included the identification of patient-specific subtypes and variations in surgical treatment rates among them.

Purpose of the Study:

  • To identify distinct patient subtypes within an ACL-injured population.
  • To analyze the factors influencing treatment decisions (surgical vs. non-surgical) for ACL injuries.
  • To establish a basis for individualized treatment approaches and improved risk assessment for ACL injuries.

Main Methods:

  • Inclusion of 346 operated and non-operated patients from March 2011 to December 2013.
  • Data collection via standardized questionnaires on demographics, sports participation, and injury history.
  • Statistical analysis including chi-square tests and cluster analysis to identify patient profiles.

Main Results:

  • Three age groups were defined: ≤20, 21-35, and ≥36 years.
  • Injury patterns varied by gender and age group; males (21-35) and females (≥36) showed distinct injury trends.
  • Surgical treatment rates exceeded 80% for competitive athletes under 35, decreased to 60-80% for non-competitive athletes, and were below 60% for patients over 35.

Conclusions:

  • Systematic data collection enabled the identification of specific ACL injury subtypes based on key patient characteristics.
  • Treatment decisions for ACL reconstruction were significantly influenced by these identified patient characteristics.
  • These findings support an individualized treatment strategy and enhance the understanding of risk factors for ACL injuries.
Abstract