4.6 Article

Running Biomechanics Before Injury and 1 Year After Anterior Cruciate Ligament Reconstruction in Division I Collegiate Athletes

Journal

AMERICAN JOURNAL OF SPORTS MEDICINE
Volume 49, Issue 10, Pages 2607-2614

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/03635465211026665

Keywords

ACL; running; gait analysis; motion analysis/kinesiology

Funding

  1. National Institutes of Health [TL1TR002375]
  2. University of Wisconsin-Madison Department of Orthopedics and Rehabilitation Research Grant

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This study aimed to investigate the return of running biomechanics to preinjury levels within the first year after ACLR among collegiate athletes. Results showed that the surgical limb did not return to preinjury levels by 12 months post-ACLR, while the nonsurgical limb mechanics remained unchanged.
Background: Preinjury running biomechanics are an ideal comparator for quantifying recovery after anterior cruciate ligament (ACL) reconstruction (ACLR), allowing for assessments within the surgical and nonsurgical limbs. However, availability of preinjury running biomechanics is rare and has been reported in case studies only. Purpose/Hypothesis: The purpose of this study was to determine if running biomechanics return to preinjury levels within the first year after ACLR among collegiate athletes. We hypothesized that (1) surgical knee biomechanics would be significantly reduced shortly after ACLR and would not return to preinjury levels by 12 months and (2) nonsurgical limb mechanics would change significantly from preinjury. Study Design: Cohort study; Level of evidence, 2. Methods: Thirteen Division I collegiate athletes were identified between 2015 and 2020 (6 female; mean +/- SD age, 20.7 +/- 1.3 years old) who had whole body kinematics and ground-reaction forces recorded during treadmill running (3.7 +/- 0.6 m/s) before sustaining an ACL injury. Running analyses were repeated at 4, 6, 8, and 12 months (4M, 6M, 8M, 12M) after ACLR. Linear mixed effects models were used to assess differences in running biomechanics between post-ACLR time points and preinjury within each limb, reported as Tukey-adjusted P values. Results: When compared with preinjury, the surgical limb displayed significant deficits at all postoperative assessments (P values <.01; values reported as least squares mean difference [SE]): peak knee flexion angle (4M, 13.2 degrees [1.4 degrees]; 6M, 9.9 degrees [1.4 degrees]; 8M, 9.8 degrees [1.4 degrees]; 12M, 9.0 degrees [1.5 degrees]), peak knee extensor moment (N.m/kg; 4M, 1.32 [0.13]; 6M, 1.04 [0.13]; 8M, 1.04 [0.13]; 12M, 0.87 [0.15]; 38%-57% deficit), and rate of knee extensor moment (N.m/kg/s; 4M, 22.7 [2.4]; 6M, 17.9 [2.3]; 8M, 17.5 [2.4]; 12M, 16.1 [2.6]; 33%-46% deficit). No changes for these variables from preinjury (P values >.88) were identified in the nonsurgical limb. Conclusion: After ACLR, surgical limb knee running biomechanics were not restored to the preinjury state by 12M, while non-surgical limb mechanics remained unchanged as compared with preinjury. Collegiate athletes after ACLR demonstrate substantial deficits in running mechanics as compared with preinjury that persist beyond the typical return-to-sport time frame. The nonsurgical knee appears to be a valid reference for recovery of the surgical knee mechanics during running, owing to the lack of change within the nonsurgical limb.

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