NCT05396404|UnknownDMC
Empirical Mode Decomposition and Decision Tree in Sarcopenia
Using Empirical Mode Decomposition and Decision Tree to Extract the Balance and Gait Features and Classification in Sarcopenia
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Using Empirical Mode Decomposition and Decision Tree to Extract the Balance and Gait Features and Classification in Sarcopenia
Sponsor study identifier
observational
200
1 country
1
Study Start
March 1, 2022
Actual (reported)Primary Completion
January 31, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
July 1, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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. The investigators 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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
July 1, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
March 1, 2022
Actual (reported)May 26, 2022
Actual (reported)May 31, 2022
Actual (reported)January 31, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
July 1, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
center of pressure (COP)
Use computerized dynography to measure the postural sway displacement, velocity (etc., mm, mm/sec)
baseline: subject was enrolled
walking speed
6m, patients can walk with foot orthosis and assistive devices
baseline: subject was enrolled
grip force
Use a grip force meter (kg) to test both hands for test 3 times
baseline: subject was enrolled
all subject data were retrieved from databank which is stored in the e-medical chart system.
The subject's data were collected from the e-medical chart system.
Changhua Christian Hospital
Changhua, 500, Taiwan
TASEN WEI, MD
Changhua Christian Hospital
First Submitted
May 26, 2022
First Posted
May 31, 2022
Study Start
March 1, 2022
Actual (reported)Primary Completion
January 31, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Assessment of the Intervention Effectiveness of Branched-chain Amino Acids(BCAA) Combined With Medium-chain Fatty Acid(MCFA) Products in Sarcopenia Among Middle-aged and Elderly Individuals
step time
Use computerized dynography to measure spatial gait parameter: step time (ms)
baseline: subject was enrolled
stance time
Use computerized dynography to measure spatial gait parameter: stance time (ms)
baseline: subject was enrolled
swing time
Use computerized dynography to measure spatial gait parameter: swing time (ms)
baseline: subject was enrolled
step / stance length
Use computerized dynography to measure spatial gait parameter: step / stance distance (mm)
baseline: subject was enrolled
muscle thickness
Use ultrasound to assess muscles morphological parameter: thickness (mm). Target muscles include quadriceps, hamstring, anterior tibialis, gastrocnemius.
baseline: subject was enrolled
international Quality of Life Assessment Short Form -36 (SF-36)
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.
baseline: subject was enrolled
amplitude of Muscle activity
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.
baseline: subject was enrolled
Fear of fall scale
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.
baseline: subject was enrolled
Bone density
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 participants' bones are. DEXA stands for "dual-energy X-ray absorptiometry." The bone density area includes: Hip and Spine
baseline: subject was enrolled
Body composition
Dual energy x-ray absorptiometry (DEXA) measures bone mineral content (BMC), fat-free mass (FFM).
baseline: subject was enrolled
concentration of CRP (C-Reactive Protein)
baseline: subject was enrolled
concentration of ALB (Serum albumin)
baseline: subject was enrolled
concentration of Glomerular Filtration Rate (GFR)
baseline: subject was enrolled
concentration of Hemoglobin (Hb)
baseline: subject was enrolled
concentration of Glucose SPOT
baseline: subject was enrolled
Contact the study team to confirm eligibility.
Study Completion
July 1, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
September 8, 2022
Record last verified: 2022-02
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