scholarly journals Development and Validation of a Clinic-Based Prediction Tool to Identify Female Athletes at High Risk for Anterior Cruciate Ligament Injury

2010 ◽  
Vol 38 (10) ◽  
pp. 2025-2033 ◽  
Author(s):  
Gregory D. Myer ◽  
Kevin R. Ford ◽  
Jane Khoury ◽  
Paul Succop ◽  
Timothy E. Hewett
Keyword(s):  
Anterior Cruciate Ligament ◽  
High Risk ◽  
Anterior Cruciate Ligament Injury ◽  
Female Athletes ◽  
Cruciate Ligament ◽  
Ligament Injury ◽  
Prediction Tool ◽  
Anterior Cruciate ◽  
Development And Validation

Biomechanical Measures of Neuromuscular Control and Valgus Loading of the Knee Predict Anterior Cruciate Ligament Injury Risk in Female Athletes: A Prospective Study

2005 ◽  
Vol 33 (4) ◽  
pp. 492-501 ◽  
Author(s):  
Timothy E. Hewett ◽  
Gregory D. Myer ◽  
Kevin R. Ford ◽  
Robert S. Heidt ◽  
Angelo J. Colosimo ◽  
...  
Keyword(s):  
Anterior Cruciate Ligament ◽  
Anterior Cruciate Ligament Injury ◽  
Injury Risk ◽  
Female Athletes ◽  
Cruciate Ligament ◽  
Neuromuscular Control ◽  
Ligament Injury ◽  
Knee Abduction ◽  
Anterior Cruciate ◽  
Dynamic Valgus

Background Female athletes participating in high-risk sports suffer anterior cruciate ligament injury at a 4- to 6-fold greater rate than do male athletes. Hypothesis Prescreened female athletes with subsequent anterior cruciate ligament injury will demonstrate decreased neuromuscular control and increased valgus joint loading, predicting anterior cruciate ligament injury risk. Study Design Cohort study; Level of evidence, 2. Methods There were 205 female athletes in the high-risk sports of soccer, basketball, and volleyball prospectively measured for neuromuscular control using 3-dimensional kinematics (joint angles) and joint loads using kinetics (joint moments) during a jump-landing task. Analysis of variance as well as linear and logistic regression were used to isolate predictors of risk in athletes who subsequently ruptured the anterior cruciate ligament. Results Nine athletes had a confirmed anterior cruciate ligament rupture; these 9 had significantly different knee posture and loading compared to the 196 who did not have anterior cruciate ligament rupture. Knee abduction angle (P <. 05) at landing was 8° greater in anterior cruciate ligament-injured than in uninjured athletes. Anterior cruciate ligament-injured athletes had a 2.5 times greater knee abduction moment (P <. 001) and 20% higher ground reaction force (P <. 05), whereas stance time was 16% shorter; hence, increased motion, force, and moments occurred more quickly. Knee abduction moment predicted anterior cruciate ligament injury status with 73% specificity and 78% sensitivity; dynamic valgus measures showed a predictive r2 of 0.88. Conclusion Knee motion and knee loading during a landing task are predictors of anterior cruciate ligament injury risk in female athletes. Clinical Relevance Female athletes with increased dynamic valgus and high abduction loads are at increased risk of anterior cruciate ligament injury. The methods developed may be used to monitor neuromuscular control of the knee joint and may help develop simpler measures of neuromuscular control that can be used to direct female athletes to more effective, targeted interventions.

Modifying Anterior Cruciate Ligament Injury Risk Factors in Female Athletes Through Real-Time Biofeedback

2017 ◽  
Vol 49 (5S) ◽  
pp. 308
Author(s):  
Michael A. Riley ◽  
Scott Bonnette ◽  
Christopher DiCesare ◽  
Adam Kiefer ◽  
Kevin Shockley ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anterior Cruciate Ligament ◽  
Real Time ◽  
Anterior Cruciate Ligament Injury ◽  
Injury Risk ◽  
Female Athletes ◽  
Cruciate Ligament ◽  
Ligament Injury ◽  
Injury Risk Factors ◽  
Anterior Cruciate
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