# Clinically Assessed Risk Factors for a Second ACL Injury Using an Innovative Wearable Sensor – Diversity Supplement > **NIH NIH R01** · VIRGINIA POLYTECHNIC INST AND ST UNIV · 2024 · $121,149 ## Abstract Clinically Assessed Risk Factors for a Second ACL Injury Using an Innovative Wearable Sensor Project Summary Nearly 1 in 60 adolescent athletes will suffer ACL injuries. Approximately 90% of these injured athletes will undergo an ACL reconstruction at an estimated annual cost of $3 billion. While reconstruction and subsequent rehabilitation allow these athletes to return to sports, they have a 15-fold increased risk of sustaining a second ACL injury, a tear of the ACL graft or the contralateral ACL, upon returning to sports. Many patients cleared to return to sport by their physicians demonstrate residual muscle weakness, as well as asymmetrical movement and loading patterns. Therefore, we contend that the underlying problem with current clinical return to sport decision making is the lack of evidence-based load asymmetry assessment methods that can be collected in a clinical setting. Evidence about the clinical relevance of asymmetry has been collected in research-based motion capture labs. It is not feasible to include costly and time intensive motion capture data collection in clinical settings. Despite laboratory-based evidence that asymmetries (landing and muscle strength) increase the risk of a second ACL injury, these measures are not able to be assessed in clinical settings to determine return to sport readiness. Our study has the potential to significantly impact post-ACL clinical care by identifying the combination of traditional clinical and novel clinic-based return to sport measures that identify patients at high risk for a second ACL injury and achieve our long-term goal of decreasing the number of ACL re-tears through targeted interventions. Specifically, we propose to evaluate load asymmetry in the clinical setting using a new load-sensing insole to determine the predictive associations of an innovative set of clinic-based functional load symmetry measures. We will then develop a prognostic model from a comprehensive set of traditional clinical measures (clinical characteristics and neuromuscular performance) and the proposed novel clinical assessments (psychological/ behavioral readiness and functional load symmetry) to predict second ACL injury. We will recruit 240 ACL reconstructed patients for model development and 120 ACL reconstructed patients for external validation (14-25 years old) who have been released to return to sports. Clinician assessed, patient reported, and load asymmetry measures will be collected in a clinic-like setting. All patients will complete injury surveillance for 18 months following return to sport (24 months following ACL reconstruction). The goals of this observational study are to: 1) Assess whether functional load symmetry measures significantly improve predictive accuracy for a second ACL injury over current standard of care clinical measures used in RTS decisions; and 2) Develop a prognostic model from a comprehensive set of traditional clinical measures (clinical characteristics and neuromuscula... ## Key facts - **NIH application ID:** 11071134 - **Project number:** 3R01AR078811-03S1 - **Recipient organization:** VIRGINIA POLYTECHNIC INST AND ST UNIV - **Principal Investigator:** Robin M Queen - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $121,149 - **Award type:** 3 - **Project period:** 2021-07-28 → 2025-05-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/11071134 ## Citation > US National Institutes of Health, RePORTER application 11071134, Clinically Assessed Risk Factors for a Second ACL Injury Using an Innovative Wearable Sensor – Diversity Supplement (3R01AR078811-03S1). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/11071134. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*