RecruitingNCT06218121

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


Sponsor

Universidad Europea de Madrid

Enrollment

500 participants

Start Date

Apr 20, 2024

Study Type

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

Min Age: 62 Years

Plain Language Summary

Simplified for easier understanding

This study is looking at how well different tools can detect frailty — a state of increased vulnerability and reduced physical reserve — in older adults. The aim is to identify which screening methods are most accurate and practical to use in routine healthcare settings. **You may be eligible if...** - You are 65 or older (or another age threshold defined by the study) - You are attending a clinic or hospital where the study is being conducted - You are able to participate in brief physical and cognitive assessments - You are willing to provide informed consent **You may NOT be eligible if...** - You are unable to understand or complete the required assessments - You have a condition that makes physical testing unsafe - You are unwilling to participate Talk to your doctor to see if this trial is right for you.

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.

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Interventions

DIAGNOSTIC_TESTInstrumental and Functional Tests that Assess Functional Capacity

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)

Hospital Puerta de Hierro de Majadahonda

Madrid, Outside of the US, Spain

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NCT06218121


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