- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06218121
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
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
Status
Conditions
Intervention / Treatment
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
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Eleuterio A. Sánchez Romero, PhD
- Phone Number: +34 617 123 563
- Email: eleuterio.sanchez@universidadeuropea.es
Study Locations
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Outside Of The US
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Madrid, Outside Of The US, Spain, 28222
- Recruiting
- Hospital Puerta de Hierro de Majadahonda
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Contact:
- Eleuterio A. Sánchez Romero, PhD
- Phone Number: 617123563
- Email: eleuterio.sanchez@universidadeuropea.es
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
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:
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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.
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Baseline
|
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Depression
Time Frame: Baseline
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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.
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Baseline
|
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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.
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Baseline
|
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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.
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Baseline
|
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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).
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Baseline
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Basic Activities in Daily Life
Time Frame: Baseline
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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 .
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Baseline
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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).
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Baseline
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Visual Analog Scale (VAS)
Time Frame: Baseline
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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.
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Baseline
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Strength
Time Frame: Baseline
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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.
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Baseline
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Risk of Falls
Time Frame: Baseline
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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.
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Baseline
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Eleuterio A. A. Sánchez Romero, PhD, European University of Madrid
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Detection of Frailty
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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