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

B Pietrosimone, AS Lepley, MS Harkey… - Medicine and science …, 2016 - europepmc.org
B Pietrosimone, AS Lepley, MS Harkey, BA Luc-Harkey, JT Blackburn, PA Gribble, JT Spang
Medicine and science in sports and exercise, 2016europepmc.org
Methods Ninety-six individuals with a history of a primary unilateral ACLR were recruited for
a multisite cross-sectional descriptive laboratory experiment. Bilateral isometric quadriceps
strength was collected at 90 of knee flexion to calculate QBM and QLSI (ratio of the ACLR
limb to the contralateral limb). Area under the curve (AUC) values were calculated using
receiver operating characteristic curve analyses to determine the capacity of QBM and QLSI
to predict individuals with high self-reported function on the IKDC index. Results QBM …
Methods
Ninety-six individuals with a history of a primary unilateral ACLR were recruited for a multisite cross-sectional descriptive laboratory experiment. Bilateral isometric quadriceps strength was collected at 90 of knee flexion to calculate QBM and QLSI (ratio of the ACLR limb to the contralateral limb). Area under the curve (AUC) values were calculated using receiver operating characteristic curve analyses to determine the capacity of QBM and QLSI to predict individuals with high self-reported function on the IKDC index.
Results
QBM displayed high accuracy (AUC= 0.76; 95% confidence interval, 0.66-0.86) for identifying participants with an IKDC index≥ 90%. A QBM cutoff score of 3.10 N· m· kg was found to maximize sensitivity (0.61) and specificity (0.84), and displayed 8.15 (3.09-21.55) times higher odds of reporting high function. QLSI displayed a moderate accuracy (AUC= 0.62, 0.50-0.73) for identifying participants with an IKDC index≥ 90%. A QLSI cutoff score of 96.5% maximized sensitivity (0.55) and specificity (0.70), and represented 2.78 (1.16-6.64) times higher odds reporting high function.
Conclusion
QBM is a stronger predictor of high self-reported function compared with QLSI in individuals with ACLR. Rehabilitation guidelines may benefit from incorporating the use of QBM measurements for the purpose of predicting participants that may maintain high self-reported function.
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