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Predicting functional recovery after acute ankle sprain.

Sean R O'Connor1, Chris M Bleakley, Mark A Tully

  • 1Faculty of Science and Engineering, University of Brighton, Brighton, United Kingdom.

Plos One
|August 14, 2013
PubMed
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Ankle sprains have a variable recovery course. Clinical assessment at 4 weeks, including pain and weight-bearing status, are the strongest predictors of functional recovery at 4 months.

Area of Science:

  • Sports Medicine
  • Musculoskeletal Rehabilitation
  • Orthopedics

Background:

  • Ankle sprains are common acute musculoskeletal injuries.
  • Predicting functional recovery after ankle sprains is challenging due to variable clinical courses.
  • Limited evidence exists on prognostic factors for ankle sprain recovery.

Purpose of the Study:

  • To identify clinical predictors of short-term (4 weeks) and medium-term (4 months) functional recovery after acute ankle sprain.
  • To investigate the prognostic value of baseline variables and early clinical assessment findings.

Main Methods:

  • Secondary analysis of 85 adult participants from a randomized controlled trial on acute ankle sprains.
  • Evaluated baseline variables (age, BMI, injury mechanism, weight-bearing status, pain) and 4-week post-injury assessments.

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  • Used multivariate stepwise linear regression to associate predictors with functional recovery at 4 weeks and 4 months.
  • Main Results:

    • Baseline factors like age, injury grade, and weight-bearing status predicted function at 4 weeks.
    • Age, baseline weight-bearing status, and non-inversion injury mechanism predicted function at 4 months.
    • Pain on medial palpation and dorsiflexion at 4 weeks were the strongest predictors of 4-month ankle function (explaining 49% of variance).

    Conclusions:

    • Ankle sprain recovery is variable, influenced by baseline characteristics.
    • Early clinical assessment findings at 4 weeks are highly predictive of medium-term functional recovery.
    • Further research is needed to refine prognostic models and identify recurrence risk factors.