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Quadriceps Strength Predicts Self-reported Function Post-ACL Reconstruction.

Brian Pietrosimone1, Adam S Lepley, Matthew S Harkey

  • 11Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC; 2Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC; 3Department of Kinesiology, University of Connecticut, Storrs, CT; 4Department of Orthopaedics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC; 5Department of Rehabilitation Sciences, University of Kentucky, Lexington, KY; and 6Department of Orthopaedics, University of Toledo, Toledo, OH.

Medicine and Science in Sports and Exercise
|April 8, 2016
PubMed
Summary
This summary is machine-generated.

Quadriceps strength normalized to body mass (QBM) better predicts high self-reported function after anterior cruciate ligament reconstruction (ACLR) than limb symmetry index (QLSI). QBM is a key metric for assessing recovery and function post-ACLR.

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Area of Science:

  • Orthopedics
  • Sports Medicine
  • Rehabilitation Science

Background:

  • Quadriceps strength is a critical indicator of functional outcomes following anterior cruciate ligament reconstruction (ACLR).
  • The comparative predictive value of quadriceps strength normalized to body mass (QBM) versus quadriceps strength limb symmetry index (QLSI) for self-reported function in ACLR patients remains unclear.

Purpose of the Study:

  • To investigate whether QBM or QLSI is a superior predictor of high self-reported function in individuals who have undergone ACLR.
  • To determine if QBM and QLSI can identify ACLR patients achieving ≥90% on the International Knee Documentation Committee (IKDC) index.

Main Methods:

  • A cross-sectional study involving 96 individuals with a history of primary unilateral ACLR.
  • Bilateral isometric quadriceps strength was measured to compute QBM and QLSI.
  • Receiver operating characteristic (ROC) curve analyses were employed to assess the predictive accuracy of QBM and QLSI for high IKDC scores.

Main Results:

  • QBM demonstrated high predictive accuracy (AUC = 0.76) for identifying individuals with high function (IKDC ≥90%).
  • A QBM cutoff of 3.10 N·m·kg significantly increased the odds of reporting high function (8.15 times).
  • QLSI showed moderate accuracy (AUC = 0.62), with a cutoff of 96.5% increasing the odds of high function by 2.78 times.

Conclusions:

  • Quadriceps strength normalized to body mass (QBM) is a more robust predictor of high self-reported function post-ACLR compared to QLSI.
  • Incorporating QBM measurements into rehabilitation guidelines may aid in identifying ACLR patients likely to achieve high functional outcomes.