Update on the Detection of Frailty in Older Adults
Update on the Detection of Frailty in Older Adults: A Multicenter Cohort Machine Learning-Based Study
Universidad Europea de Madrid
500 participants
Apr 20, 2024
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
The correlation between all functional, ultrasound, nutritional, and psychological variables will be analyzed. Through GLIM diagnosis, anthropometric data (weight, height, BMI) as well as analytical data including inflammation information (CRP and albumin) will be used to reach a diagnosis that allows comparison/correlation with the rest of the variable parameters.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06218121