Update on the Detection of Frailty in Older Adults: A Multicenter Cohort Machine Learning-Based Study

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.