Project 440075

Developing a clinically accessible decision rule for return to activity following a paediatric anterior cruciate ligament reconstruction

440075

Developing a clinically accessible decision rule for return to activity following a paediatric anterior cruciate ligament reconstruction

$105,000
Project Information
Study Type: Unclear
Research Theme: Clinical
Institution & Funding
Principal Investigator(s): Romanchuk, Nicholas
Supervisor(s): Benoit, Daniel L
Institution: University of Ottawa
CIHR Institute: Musculoskeletal Health and Arthritis
Program: Doctoral Research Award: Canada Graduate Scholarships
Peer Review Committee: Doctoral Research Awards - A
Competition Year: 2020
Term: 3 yrs 0 mth
Abstract Summary

The anterior cruciate ligament (ACL) is the most frequently damaged knee ligament, with rates continuing to rise among active paediatric athletes. Moreover, the risk of ACL re-injury after surgical reconstruction (ACLR) is significantly higher than the initial injury. Despite the high risk for re-injury, and the lifelong associated health implications, there is minimal evidence available to guide return-to-activity (RTA) timing following a paediatric ACLR. One of the barriers restricting the development of RTA criteria are limitations on what can be collected in a clinical setting, as many factors associated with ACL re-injury risk require access to specialized laboratories. To address this issue, my thesis will achieve the following objectives: i) validate a novel suite of mobile technologies, ii) use the technology and a multidisciplinary approach to develop a decision rule for RTA timing, and iii) implement the decision rule into clinical practice. Through an established collaboration with orthopaedic surgeons at the Children's Hospital of Eastern Ontario (CHEO), we will recruit paediatric patients who have undergone an ACLR. Data will be collected following the patient's ACLR during a series of dynamic tasks (ex. side-cuts) using clinically accessible mobile technologies. We will use this data to identify variables that predict positive clinical outcomes (ex. re-injury). Based on these measurements, cut-off thresholds can be identified to determine whether a paediatric patient is ready to RTA. The final phase of the project will focus on implementing the decision rule into clinical practice at CHEO. This project will create the first clinically accessible paediatric-specific RTA decision rule, reducing the risk for premature RTA and subsequent ACL re-injury. Furthermore, by ensuring our suite of technologies is transferable to other institutions, this project has the potential to improve the quality of care for all young Canadians recovering from an ACLR.

No special research characteristics identified

This project does not include any of the advanced research characteristics tracked in our database.

Keywords
Anterior Cruciate Ligament Children's Health Decison Rule Injury Prevention Knee Injury Machine Learning Mobile Technology Return-To-Activity