Empirical Mode Decomposition and Decision Tree in Sarcopenia
Study Details
Study Description
Brief Summary
Sarcopenia is quickly becoming a major global public health issue. Falls are the leading cause of mortality among the elderly, and they must be addressed. We will use machine learning techniques such as empirical mode decomposition technology and decision tree algorithms to extract the characteristics and classification of sarcopenia in this retrospective study in order to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Detailed Description
Sarcopenia is becoming a severe global public health concern as the world's elderly population grows. Sarcopenia is characterized by muscular mass and strength loss, as well as impaired physical performance, and it is frequently connected with negative health outcomes such as falls. Falls are a primary cause of death in older individuals and must be addressed. Sarcopenia is currently diagnosed clinically using three primary technologies: imaging technology, precision medicine, and machine learning. In this study, we will use previously collected data from nearly 200 community-dwelling subjects, including medical history, biochemistry, body composition, balance and gait, electromyography, and functional performance, to extract the characteristics and classification of sarcopenia using machine learning techniques such as empirical mode decomposition technology and decision tree algorithms. We intend to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| observation all subject data were retrieved from databank which is stored in the e-medical chart system. |
Outcome Measures
Primary Outcome Measures
- center of pressure (COP) [baseline: subject was enrolled]
Use computerized dynography to measure the postural sway displacement, velocity (etc., mm, mm/sec)
- walking speed [baseline: subject was enrolled]
6m, patients can walk with foot orthosis and assistive devices
- grip force [baseline: subject was enrolled]
Use a grip force meter (kg) to test both hands for test 3 times
- step time [baseline: subject was enrolled]
Use computerized dynography to measure spatial gait parameter: step time (ms)
- stance time [baseline: subject was enrolled]
Use computerized dynography to measure spatial gait parameter: stance time (ms)
- swing time [baseline: subject was enrolled]
Use computerized dynography to measure spatial gait parameter: swing time (ms)
- step / stance length [baseline: subject was enrolled]
Use computerized dynography to measure spatial gait parameter: step / stance distance (mm)
- muscle thickness [baseline: subject was enrolled]
Use ultrasound to assess muscles morphological parameter: thickness (mm). Target muscles include quadriceps, hamstring, anterior tibialis, gastrocnemius.
- international Quality of Life Assessment Short Form -36 (SF-36) [baseline: subject was enrolled]
including 8 health concepts: (1) physical functioning, (2) role limitations because of physical health problems; (3) bodily pain, (4) social functioning, (5) general mental health (psychological distress and psychological wellbeing), (6) role limitations because of emotional problems, (7) vitality (energy/fatigue), (8) general health perceptions. Scoring: answers to each question are scored which are then summed and transformed to a 0 - 100 scale. The lower the score the more disability. The higher the score the less disability i.e., a score of zero is equivalent to maximum disability and a score of 100 is equivalent to no disability.
- amplitude of Muscle activity [baseline: subject was enrolled]
use electromyography to measure the muscles activity in microvolts (uv) included quadriceps, hamstrings, tibialis anterior, gastrocnemius during subject walking in self-selected speed in 6 meters.
- Fear of fall scale [baseline: subject was enrolled]
A 15-item self-report questionnaire for measuring fear of falling. Each item is rated on a Likert-type scale from 1 (strongly disagree) to 4 (strongly agree). The total possible score ranges from 15-60, with higher scores indicating greater fear of falling.
- Bone density [baseline: subject was enrolled]
A bone density test, DEXA, measures the mineral content of the bones in certain areas of the skeleton. A DEXA scan is a type of medical imaging test. It uses very low levels of x-rays to measure how dense your bones are. DEXA stands for "dual-energy X-ray absorptiometry." The bone density area include: Hip and Spine
- Body composition [baseline: subject was enrolled]
Dual energy x-ray absorptiometry (DEXA) measures bone mineral content (BMC), fat-free mass (FFM).
Secondary Outcome Measures
- concentration of CRP (C-Reactive Protein) [baseline: subject was enrolled]
The concentration of CRP in the blood test. CRP is used mainly as a marker of inflammation.
- concentration of ALB (Serum albumin) [baseline: subject was enrolled]
The concentration of ALB in the blood test. Albumin is the most important contributor to the maintenance of plasma colloid oncotic pressure; deficiency results in edema.
- concentration of Glomerular Filtration Rate (GFR) [baseline: subject was enrolled]
The concentration of GFR in the blood test. The glomerular filtration rate is the best test to measure the patient's level of kidney function and determine the stage of kidney disease. It can calculate it from the results of the blood creatinine test.
- concentration of Hemoglobin (Hb) [baseline: subject was enrolled]
The concentration of Hb in the blood test.
- concentration of Glucose SPOT [baseline: subject was enrolled]
The concentration of Glucose SPOT in the blood test. TheSpot glucose measurement in epidermal interstitial fluid appears to be a promising alternative to capillary blood glucose estimation
- concentration of Cholesterol [baseline: subject was enrolled]
The concentration of Cholesterol in the blood test.
- concentration of Triglyceride [baseline: subject was enrolled]
The concentration of Triglyceride in the blood test.
- concentration of Transferrin [baseline: subject was enrolled]
The concentration of Transferrin in the blood test.
- Berg balance test (BBS) [baseline: subject was enrolled]
including 14 items which are scored on a 5 points scale (0-4). The degree of success in achieving each task is given a score of zero (unable) to four (independent), and the final measure is the sum of all of the scores. The item scores are summed, minimum score =0, maximum score = 56
- Body Mass Index (BMI) [baseline: subject was enrolled]
(body weight) kg/(height) m*(height)m
- Mini-mental state examination (MMSE) [baseline: subject was enrolled]
It is an 11-question measure that tests five areas of cognitive function: orientation, registration, attention and calculation, recall, and language. The maximum score is 30. A score of 23 or lower is indicative of cognitive impairment.
- calf muscle circumference [baseline: subject was enrolled]
Use ruler to measure the bilateral calf muscle circumference, It is an anthropometric parameter commonly used in clinical practice.
- Timed up and go [baseline: subject was enrolled]
To determine fall risk and measure the progress of balance, sit to stand and walking. Patients wear their regular footwear and can use a walking aid, if needed. The patient starts in a seated position. The patient stands up upon therapist's command: walks 3 meters, turns around, walks back to the chair and sits down. The time stops when the patient is seated. To document if the assistive device used. Stopwatch to record the whole task duration.
Eligibility Criteria
Criteria
Inclusion Criteria:
-
aged from 40 - 90
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DXA test performed
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blood sample tests were performed
Exclusion Criteria:
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stroke history
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amputation
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cancer related disease
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Changhua Christian Hospital | Changhua | Taiwan | 500 |
Sponsors and Collaborators
- Changhua Christian Hospital
Investigators
- Principal Investigator: TASEN WEI, MD, Changhua Christian Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- CCH IRB 211235