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Summary

A new function-based Return to Activity Algorithm aids in evaluating lower extremity injury recovery. This approach ensures athletes safely return to sports by assessing functional deficits and asymmetries.

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Area of Science:

  • Sports Medicine
  • Rehabilitation Science
  • Biomechanics

Background:

  • Traditional time-based rehabilitation protocols are evolving towards function-based approaches for lower extremity injuries.
  • Assessing functional recovery is crucial for safe return to sports after injury or surgery.

Observation:

  • A novel function-based Return to Activity Algorithm (levels I-IV) was developed, incorporating qualitative and quantitative tests.
  • Each level progressively increases demands on the loco-motor system, from basic stability to multidirectional impact compensation.
  • The algorithm was exemplified with a professional soccer player recovering from ACL reconstruction and meniscectomy.

Findings:

  • The athlete successfully navigated all algorithm levels, completing rehabilitation 203 days post-injury.
  • Return to team training occurred at 221 days, with the first game completed at 247 days post-injury.
  • The algorithm identified and addressed functional deficits, enabling a safe return to play.

Implications:

  • The Return to Activity Algorithm effectively evaluates functional status and identifies re-injury risk factors like deficits and asymmetries.
  • This function-oriented, individualized approach optimizes therapeutic efforts and determines safe return-to-sport timing with high confidence.
  • It supports evidence-based clinical decision-making in sports injury rehabilitation.