Update on the Detection of Frailty in Older Adults

July 8, 2024 updated by: Eleuterio Atanasio Sánchez Romero, Universidad Europea de Madrid

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.

Study Overview

Detailed Description

The present cohort study will be conducted in 500 older adults diagnosed with frailty.

The correlation of the demographic variables, physical functionality tests and psychoemotional constructs that will be analyzed in this study with the ultrasound image obtained from the patients will improve the ultrasound diagnosis of frailty, providing new information that will facilitate the work of healthcare personnel in the diagnosis and management of frailty.

Similarly, the use of Machine Learning will allow institutions to extract data on different patient profiles, signs and symptoms of frailty and the different risk factors that affect frailty patients, which will improve treatments and favor the development of educational programs tailored to the patient's needs.

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Outside Of The US
      • Madrid, Outside Of The US, Spain, 28222

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Probability Sample

Study Population

The present cohort study will be conducted in older adults diagnosed with frailty. A multicenter study will be conducted among the Residencia de Nuestra Señora de la Soledad y del Carmen (Colmenar Viejo, Madrid), Residencia San Camilo (Tres Cantos, Madrid), Centro de Día San Camilo (Tres Cantos, Madrid), Residencia San Luis de Gonzaga (Carretera de Colmenar Viejo), Hospital Universitario Rey Juan Carlos (Móstoles, Madrid) and Hospital Puerta de Hierro (Majadahonda, Madrid) from their diagnosis

Description

Inclusion Criteria:

A diagnosis of signs and symptoms of frailty by a geriatric physician in the research group will be used as the primary inclusion criterion. Frailty will be assessed and diagnosed using the frailty phenotype and the Clinical Frailty Scale.

Exclusion Criteria:

  • 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)
  • Severe pain (7/10 VAS)
  • Previous neuromuscular pathology presenting with weakness
  • Medication that does not allow the patient's actual muscle reaction to be assessed
  • Severe cognitive impairment that would prevent collaboration and understanding of the tests to be performed.
  • Cardiovascularly unstable patients and uncontrolled arterial hypertension.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Frail Older Adult Patients
For the cohort study, 500 frail older adult patients will be evaluated by means of instrumental and functional tests that assess their functional capacity, in addition to ultrasound imaging to study sarcopenia and nutrition, as well as psychological variables. 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. All available information will be collected during the follow-up in order to generate Machine Learning on the objective evolution and symptomatology of these patients, generating profiles that facilitate the most accurate and appropriate treatment for each patient.
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.
Other Names:
  • Ultrasound Imaging to Study Sarcopenia and Nutrition
  • Psychological Variables.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Kinesiophobia
Time Frame: Baseline
Kinesiophobia was measured with Spanish version of Tampa Scale of Kinesiophobia. Higher scores denotes greater fear of experiencing pain while moving.
Baseline
Depression
Time Frame: Baseline
Depressive symptoms were measured with Spanish version of Beck Inventory II. 0-13 normal scores; 14-19 mild; 20-28 moderate; 29-63 severe depression.
Baseline
Anxiety
Time Frame: Baseline
Anxiety was measured with Spanish version of State-trait Anxiety Inventory (STAI). Scores of 20-37 indicate no or low anxiety; 38-44 moderate anxiety; 45-80 high anxiety.
Baseline
Manual Grip Strength
Time Frame: Baseline
The grip strength in both hands will be measured by measuring the maximum grip strength. A bulb dynamometer will be used for this measurement.
Baseline
Quality of Life (EQ-5D-5L)
Time Frame: Baseline
It will be evaluated by means of the the EuroQol 5-dimensions 5-levels (EQ-5D-5L), which is a generic instrument for measuring health-related quality of life. The patient himself assesses his state of health, in levels of severity by dimensions The first allows the respondent to define the state of health according to the EQ-5D multi-attribute classification system, composed of 5 dimensions (mobility, self-care, activities of daily living, pain/discomfort and anxiety/depression), and in each of them there are 3 levels of severity (1, 2 or 3).
Baseline
Basic Activities in Daily Life
Time Frame: Baseline
The Barthel Index evaluated one's ability to care for him/herself through ten activitiesof daily living like feeding, bathing, grooming, dressing, bowel and bladder control,toileting, chair transfer, ambulation, and stair climbing; the maximum score is 100 pointsand the higher the score, the greater the functional independence of the patient. Thefollowing baseline data regarding age, sex, and admission diagnosis were also collected .
Baseline
Balance
Time Frame: Baseline
The Trunk Control Test (TCT) evaluated four aspects of trunk movement, swinging to both sides, sitting balance, and rising from the floor; individual items are scored from 0 (incapable) to 12 (ability to perform the movement but with an unusual style) and 25 (ability to perform the movement correctly).
Baseline
Visual Analog Scale (VAS)
Time Frame: Baseline
To evaluate the pain that the patient has, we use the VAS. This is a 100 mm line that measures pain intensity. The left end of the line represents the absence of pain, while the right end represents the worst pain imaginable. The numerical pain intensity scale adds a numerical graduation where 1 is no pain and 10 is the worst pain imaginable. The confidence and reliability of this scale has been approved and validated in different studies.
Baseline
Strength
Time Frame: Baseline
The Medical Research Council Sum Score (MRCSS) strength assessment scale evaluated muscle strength in the upper and lower limbs. The different movements evaluated arescored from 0 to 5 and a maximum score of 60 can be obtained.
Baseline
Risk of Falls
Time Frame: Baseline
Assessment of fall risk according to the Vivifrail protocol: cumulative number of falls in the past year, cumulative number of falls with physician care, suffer at least 1 fall in the past year, Timed Up and Go test (TUG) and existence of dementia to establish the existence of fall risk (+ or -); the TUG assesses the time it takes to get out of the chair, walk three meters, back to the chair, and to sit down.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Eleuterio A. A. Sánchez Romero, PhD, European University of Madrid

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 20, 2024

Primary Completion (Estimated)

April 15, 2025

Study Completion (Estimated)

June 15, 2025

Study Registration Dates

First Submitted

January 2, 2024

First Submitted That Met QC Criteria

January 11, 2024

First Posted (Actual)

January 23, 2024

Study Record Updates

Last Update Posted (Actual)

July 9, 2024

Last Update Submitted That Met QC Criteria

July 8, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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