Analysis of the Loss of Muscle Force, Power and Motor Control to Predict the Risk of Falls in Patients With Knee OA

Falls are a critical yet common event among the elderly, with huge societal and economic impact (reduced quality of life and high costs for the healthcare system). Experimental measures to quantify the residual muscle strength and power may provide useful information to predict the risk of falls in the elderly. Isometric and isokinetic muscle contractions, performed on a dynamometer or during functional tasks can be collected, together with electromyography (to assess muscle activity) and imaging data (to quantify and characterize muscular tissue).

Such data can be collected at different time points to monitor subjects over time, and to inform virtual representation of the human musculoskeletal system (digital twins) to identify possible motor control deficits. Moreover, this same information can be used to better characterize/assess elder individuals at risk of falling (e.g., subjects with knee osteoarthritis), to prevent future falls.

All subjects enrolled in the PowerAGING study will be followed up for 24 months (5 visits in total: M0, M6, M12, M18 and M24 follow-up). At each visit, a series of experimental tests to quantify muscle power and muscle force, as well as a home-based mobility assessment (via single inertial sensor worn for 5 consecutive days), will be performed. In addition, only at start and end, the subjects will undergo a full lower limb MRI and a gait assessment.

Inclusion criteria

• Age between 65 and 80 years
• Kellgren score II e III
• No history of falls in the last 12 months

Exclusion criteria

• Any musculoskeletal, neurological, rheumatic or tumoral diseases
• Dementia
• Diabetes
• Inguinal or abdominal hernia
• Severe Hypertension (Level 3)
• Severe Cardio-pulmonary insufficiency
• Diagnosis of Osteonecrosis in the lower limb joints
• Pathologies or physical conditions incompatible with the use of magnetic resonance imaging and electrostimulation (i.e., active and passive implanted biomedical devices, epilepsy, severe venous insufficiency in the lower limbs)
• Previous interventions or traumas to the joints of the lower limb