Predict Anterior Cruciate Ligament Injury In Elite Male Soccer Players? Focus On The Five Factors Maximum Model

Abstract

Background: For years, the rupture of the anterior cruciate ligament (ACL) has been a feared injury in young soccer players since it causes physiological and psychological changes while incurring significant economic losses. Methods: Through clinical research, understanding the mechanisms and identifying risk factors has enabled sports and performance professionals to establish robust models to predict and reduce the risk of ACL injury. Developments in medical devices also allow a more precise, more objective assessment and improve the traceability of the various quantitative and qualitative parameters necessary to detect the risk of ACL injury. Results: While general preventive protocols have shown evidence for an overall reduction in injury, there are still limitations regarding ACL injury. Therefore, we can collect personalized data from these models and the variables involved, predict, prevent, and program performance throughout the season. Additionally, the multi-professional team supervising the athlete must establish a close relationship centered on feeling and listening to the player who remains in control of his performance. Conclusion: Let the players decide on their career and not an injury.

Return to the Pre-Injury Level of Sport after Anterior Cruciate Ligament Reconstruction: A Practical Review with Medical Recommendations

“…Of the various RTS tests described to assess safe RTS after ACLR, recent literature has identified some biomechanical variables associated with secondary ACL injury [89,100], with some literature suggesting RTS testing batteries should utilize a maximum of five variables/tests (e. g., strength/power, movement biomechanics, proprioception, kinesthesia, and balance) when synthesizing information regarding safe RTS after ACLR [101,102]. In a small prospective cohort study, Paterno et al [100] reported that during a drop vertical jump maneuver, biomechanical variables related to net hip rotation moment impulse, frontal plane knee range of motion during landing, asymmetries in sagittal plane knee moments at initial contact, and postural stability were collectively a strong predictor (i. e., sensitivity, 0.92; specificity, 0.88) of a contralateral or secondary ipsilateral ACL injury after primary ACLR.…”

“…However, current RTS criteria may not be valid for predicting safe RTS 28 30 95 , and more sophisticated biomechanical testing of known risk factors for ACL re-injury may be needed to more specifically synthesize information regarding safe RTS after ACLR ( Fig. 2 ) 77 78 79 86 88 89 101 102 .…”