Assessment Tool For Widespread Screening Of Anterior Cruciate Ligament Injury Risk

Download or read book Assessment Tool for Widespread Screening of Anterior Cruciate Ligament Injury Risk written by Patrik Abdelnour and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Knee kinematics during a drop vertical jump (DVJ) were previously shown to be associated with an increased risk of non-contact anterior cruciate ligament (ACL) injury. However, standard motion analysis systems used to quantify knee kinematics are not practical for routine screening. Thus, the present study serves to investigate the predictive capabilities of a portable motion capture tool using initial coronal abduction (IC), peak coronal abduction (PC), and peak flexion (PF) angles during a DVJ to assess for non-contact ACL injury risk.A total of 405 varsity athletes were recruited. Each participant performed three DVJs at the beginning of their respective seasons and were prospectively followed for non-contact ACL injury until the end of their season. IC, PC, and PF angles during a DVJs were measured using our portable motion capture tool.The mean difference in PF angles between the injured (86.23±13.60) and uninjured (102.51±17.47) groups was 16.7 (p≤0.05). Receiver operating characteristic (ROC) analysis found that the area under the curve (AUC) for PF was 0.776 (P = 0.021, 95% confidence interval (CI): 0.629-0.923), from which a cut off of 95.17 was obtained with 83% sensitivity and 67% specificity. The AUC for IC was 0.381 (P = 0.321, 95% CI: 0.182-0.580), from which a cut off of -1.12 was obtained with 67% sensitivity and 24% specificity. The AUC for PC was 0.401 (P = 0.408, 95% CI: 0.244-0.558), from which a cut off of -2.60 was obtained with 67% sensitivity and 25% specificity. When using IC, PC, and PF cut off angles together, all non-contact ACL injuries this season were predicted. These findings suggest a portable motion capture tool using PF angles alone could effectively predict non-contact ACL injury. Further development of a portable motion capture tool would facilitate widespread screening, thus increasing enrollment in injury prevention programs and ultimately decreasing the incidence of non-contact ACL injuries"--