A Novel Sensor-Based Application for Home-Based Rehabilitation Can Objectively Measure Postoperative Outcomes following Anterior Cruciate Ligament Reconstruction

Combining a digital health application with standard care significantly enhances rehabilitation outcomes for ACL surgery patients

INTRODUCTION

Anterior cruciate ligament (ACL) rupture is one of the most common sports injuries. Regardless of the surgical treatment, patients require intensive education about the pathology, therapeutic options and physical therapy. However, it is often not possible for the patient to start physical therapy directly and schedule adequate consultations. Digital health applications are medical devices that can help bridge the gap between physiotherapy sessions and provide qualified, convenient and effective education and treatment. This study is needed to explore alternative methods to ensure continuous and effective rehabilitation for ACL patients who face delays in accessing traditional physiotherapy. The study aimed to compare app-assisted therapy plus standard of care (conventional orthopaedic and physiotherapeutic measures) versus isolated standard of care for patients with planned ACL surgery.

METHODS

A monocentric, two-arm, 1:1 randomized controlled study examined 80 patients after a cruciate ligament rupture with or without meniscal injury. Patients over 18 years with a confirmed diagnosis of ACL rupture and planned surgical reconstruction using autologous grafts were included. The study criteria additionally included willingness to use the Orthopy app and sufficient German language proficiency. The study excluded patients with severe concomitant injuries, prior knee surgeries, chronic pain conditions and those not compatible with app usage. Patients were randomized and their baseline data (t0) was collected. Subsequently, they received their treatment according to their treatment group. The study included a presurgery period (2-6 weeks) and a postsurgery period (14 weeks). Interim assessments were done via online questionnaires at t1 (if more than 3 weeks before surgery) and t3, t4 and t5 (postsurgery). Additional clinical assessments were conducted at t2 (presurgery) and t6 (14 weeks postsurgery). Primary outcome measures included the knee injury and osteoarthritis outcome score (KOOS), with subjective pain and function levels (numeric rating scale [NRS]) as secondary endpoints.

RESULTS

The clinical trial was able to show positive outcomes on the KOOS Pain and Symptoms subscale of the primary endpoint KOOS in the interventional group compared to the standard of care group. A statistically significant pain reduction could be seen at t1 (p = 0.0005), t2 (p = 0.0068) and t4 (approximately 6 weeks after surgery; p = 0.01). A significant reduction of symptoms at t1 (p = 0.0001), t2 (p = 0.0036) and t6 (p = 0.0377) were recognized. These findings are further supported by the significant benefit of the pain NRS at t4 and positive tendencies at t3, t5 and t6. The KOOS subscales quality of life (p = 0.0066), activities of daily living (p = 0.0009) and Sport (p = 0.0484) showed significant effects before surgery.

CONCLUSION

The Orthopy app is a medical device that is both safe and effective for use. Combining the Orthopy app and standard of care can significantly improve prehabilitation and rehabilitation in surgical treatment with ACL reconstruction compared with the isolated standard of care.

LEVEL OF EVIDENCE

Level I.

The Fundamentals and Applications of Wearable Sensor Devices in Sports Medicine: A Scoping Review

PURPOSE

To (1) characterize the various forms of wearable sensor devices (WSDs) and (2) review the peer-reviewed literature of applied wearable technology within sports medicine.

METHODS

A systematic search of PubMed and EMBASE databases, from inception through 2023, was conducted to identify eligible studies using WSDs within sports medicine. Data extraction was performed of study demographics and sensor specifications. Included studies were categorized by application: athletic training, rehabilitation, and research.

RESULTS

In total, 43 studies met criteria for inclusion in this review. Forms of WSDs include pedometers, accelerometers, encoders (consisting of magnetometers and gyroscopes), force sensors, global positioning system trackers, and inertial measurement units. Outcome metrics include step counts; gait, limb motion, and angular positioning; foot and skin pressure; change of direction and inclination, including analysis of both body parts and athletes on a field; displacement and velocity of body segments and joints; heart rate; plethysmography; sport-specific kinematics; range of motion, symmetry, and alignment; head impact; sleep; throwing biomechanics; and kinetic and spatiotemporal running metrics. WSDs are used in athletic training to assess sport-specific biomechanics and workload with a goal of injury prevention and training optimization, as well as for rehabilitation monitoring and research such as for risk predicting and aiding diagnosis.

CONCLUSIONS

WSDs enable real-time monitoring of human performance across a variety of implementations and settings, allowing collection of metrics otherwise not achievable. WSDs are powerful tools with multiple applications within athletic training, patient rehabilitation, and orthopaedic and sports medicine research.

CLINICAL RELEVANCE

Wearable technology may represent the missing link to quantitatively addressing return to play and previous performance. WSDs are commercially available and portable adjuncts that allow clinicians, trainers, and individual athletes to monitor biomechanical parameters, workload, and recovery status to better contextualize personalized training, injury risk, and rehabilitation.