The main objective is to update the diagnostic assessment of frailty by correlating several variables with the ultrasound image of the frail elderly patient.
Secondarily, the investigators intend to collect and analyze data on functional capacity and quality of life variables on the evolution of musculoskeletal symptoms, as well as on pain and psychological variables. Similarly, it is intended to make a record of different profiles and subtypes of frail older adult patients to be stored in Machine Learning in order to establish therapeutic intervention plans that allow both the evaluation and treatment of patients.
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Acute myocardial infarction in the last 3 months and/or unstable angina pectoris
Uncontrolled arrhythmia, recent thromboembolism and terminal illness.
Patients undergoing MMII unloading or MMSS/MMII fractures in the last three months.
Patients with a functional gait index of 1 (Inability to walk)