Annalisa Na1,2, Thomas S Buchanan2. 1. Division of Rehabilitation Sciences, Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch, Galveston, TX, 77551. 2. Delaware Rehabilitation Institute, University of Delaware, Newark, DE.
Abstract
BACKGROUND: Self-perceived instability among patients with knee osteoarthritis (OA) is defined as giving way, buckling, or shifting of the knee during activities, especially walking. Although instability is a leading cause of mobility decline with knee OA, methods for quantifying the symptom, determining the mechanisms, and establishing effective interventions remain unclear. Recently, data outputs (ie, linear acceleration and its time-derivative, jerk) from wearable sensors are showing strong associations with self-perceived instability among patients with other knee pathologies and may offer insight into OA-related instability. OBJECTIVE: To examine discriminant and convergent validity of using data outputs from wearable sensors to quantify self-reported instability among patients with knee OA. DESIGN: Secondary analysis of a cross-sectional study. SETTING: Primary recruitment from an institutional outpatient physical therapy clinic and collection completed in an institutional research laboratory. PATIENTS: Thirty-nine total participants. The OA group included 26 participants with radiographic evidence of moderate to severe knee OA in the medial compartment; knee pain >3 out of 10, and a walking speed of ≥1.0 m/s. The control group included 13 participants with no history of knee OA. Participants with current or history of low back, hip, or foot/ankle injury; knee replacement; skeletal realignment surgery; or comorbidities that limit walking, pregnancy, and inability to walk without an assistive device were excluded. INTERVENTIONS: N/A MAIN OUTCOME MEASURES: Data output from wearable sensors at the tibia. RESULTS: Midstance acceleration (P = .01) and jerk (P = .04) were significantly greater for those with than without knee OA. Acceleration was significantly associated with self-reported instability (Spearman's rho = -0.63, P < .01). CONCLUSIONS: Data from wearable sensors are a valid measurement for exploring the mechanisms and risks of instability among patients with knee OA.
BACKGROUND: Self-perceived instability among patients with knee osteoarthritis (OA) is defined as giving way, buckling, or shifting of the knee during activities, especially walking. Although instability is a leading cause of mobility decline with knee OA, methods for quantifying the symptom, determining the mechanisms, and establishing effective interventions remain unclear. Recently, data outputs (ie, linear acceleration and its time-derivative, jerk) from wearable sensors are showing strong associations with self-perceived instability among patients with other knee pathologies and may offer insight into OA-related instability. OBJECTIVE: To examine discriminant and convergent validity of using data outputs from wearable sensors to quantify self-reported instability among patients with knee OA. DESIGN: Secondary analysis of a cross-sectional study. SETTING: Primary recruitment from an institutional outpatient physical therapy clinic and collection completed in an institutional research laboratory. PATIENTS: Thirty-nine total participants. The OA group included 26 participants with radiographic evidence of moderate to severe knee OA in the medial compartment; knee pain >3 out of 10, and a walking speed of ≥1.0 m/s. The control group included 13 participants with no history of knee OA. Participants with current or history of low back, hip, or foot/ankle injury; knee replacement; skeletal realignment surgery; or comorbidities that limit walking, pregnancy, and inability to walk without an assistive device were excluded. INTERVENTIONS: N/A MAIN OUTCOME MEASURES: Data output from wearable sensors at the tibia. RESULTS: Midstance acceleration (P = .01) and jerk (P = .04) were significantly greater for those with than without knee OA. Acceleration was significantly associated with self-reported instability (Spearman's rho = -0.63, P < .01). CONCLUSIONS: Data from wearable sensors are a valid measurement for exploring the mechanisms and risks of instability among patients with knee OA.