Sarcopenia is a progressive and generalised skeletal muscle disorder involving the accelerated loss of muscle mass and function that is associated with increased adverse outcomes including falls, functional decline, frailty, and mortality. In this project, the high-definition surface electromyography technology (HD-sEMG) signals will be analysed to extract features/ markers for the diagnosis of sarcopenia. This is a multicentric, descriptive, cross-sectional, parallel group study to develop a new diagnostic method. It is planned to include 846 people aged 75 years and over hospitalized in the acute geriatric or rehabilitation wards and suspected of sarcopenia (Score ≥4 on the SARC-F screening questionnaire). The inclusion duration will be 18 months and adding a 3-month patient follow-up. The total study duration will be 21 months. Patients will have their body composition using bioimpedancemetry and if possible by dual X-ray absorptiometry (DEXA). Muscular strength will be assessed by handgrip strength. Physical performance will be assessed. Additional data will be collected from their medical records.
The aging of the population is a major public health problem with its multifactorial impact on quality of life and maintenance of autonomy. Unfortunately, one consequence of aging is sarcopenia, which affects the intrinsic and functional properties of muscle. It is a risk factor for loss of autonomy, falls, frailty and is associated with increased mortality. Sarcopenia is defined as a progressive loss of muscle mass, strength and physical performance. Classically, sarcopenia is assessed by imaging techniques (MRI, DEXA) or bioelectrical impedancemetry for aspects related to the assessment of muscle mass loss. MRI or DEXA are not widely available and/or access is limited. For functional aspects, grip strength measurements are often used. Currently sarcopenia cannot be diagnosed and evaluated by a single examination, including both the morphological (muscle mass) and functional aspects. Furthermore, several biological markers are associated with muscle mass, strength, and function, but these biomarkers are not specific to skeletal muscle and are weakly associated with clinical goals. Finally, despite the important interest in assessing the qualitative/functional and quantitative aspect of skeletal muscle in neuromuscular impairment, there is currently no tool that routinely assesses these aspects. In this context, developing new approaches for non-invasive assessment of sarcopenia, is a major issue. In this project, the investigators aim to develop an automatic procedure derived from high-definition surface electromyography (HD-sEMG) technology, non-invasive and portable, for the diagnosis of sarcopenia.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
846
High definition surface electromyography, allowing the recording of muscle activation signals sensitive to the intensity of the contraction and indirectly to the muscle strength as well as to the muscular fatigability, but also capable of measuring the modifications of the recruitment modalities of the motor units. This recording will be made on the rectus femoris during knee extension, either in the lying position or during chair rises, depending on the patient's functional state
Muscle Ultrasound with Philips Lumify Wireless Handheld Ultrasound for Android - Model - L12-4 linear probe, allowing performance at the patient's bed
Physical activity assessment questionnaire/adapted version for seniors
Hôpital Corentin Celton, APHP
Issy-les-Moulineaux, France
RECRUITINGHôpital Corentin Celton, APHP
Issy-les-Moulineaux, France
RECRUITINGHôpital Charles Foix, APHP
Ivry-sur-Seine, France
RECRUITINGHôpital Charles Foix, APHP
Ivry-sur-Seine, France
RECRUITINGHôpital Charles Foix, APHP
Ivry-sur-Seine, France
RECRUITINGUnité d'Explorations fonctionnelles du sujet âgé - Hôpital Charles Foix
Ivry-sur-Seine, France
NOT_YET_RECRUITINGHôpital Rothschild, APHP
Paris, France
RECRUITINGHôpital Rothschild, APHP
Paris, France
RECRUITINGHôpital Saint-Antoine, APHP
Paris, France
RECRUITINGHôpital Bichat, APHP
Paris, France
RECRUITING...and 1 more locations
Diagnostic score of electromyographic signals from the rectus femoris collected by the HD-sEMG technique, differentiating sarcopenic from non-sarcopenic elderly subjects
Time frame: Day 1- Day 7
HD-sEMG signals associated with functional recovery
Identify HD-sEMG parameters associated with good functional recovery of autonomy at D21 and M3 of hospitalization (muscle resilience)
Time frame: Day 21 +/-3 days
HD-sEMG signals associated with functional recovery
Identify HD-sEMG parameters associated with good functional recovery of autonomy at D21 and M3 of hospitalization (muscle resilience)
Time frame: Day 90+/-7 days
HD-sEMG signals associated with Muscle Mass Index
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and the Muscle Mass Index measured by DEXA or Bioimpedancemetry
Time frame: Day 1
HD-sEMG signals associated with Muscle Mass Index
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and the Muscle Mass Index measured by DEXA or Bioimpedancemetry
Time frame: Day 7
HD-sEMG signals associated with grip strength
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and grip strength measured using manual hydraulic dynamometer
Time frame: Day 1
HD-sEMG signals associated with grip strength
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and grip strength measured using manual hydraulic dynamometer
Time frame: Day 7
HD-sEMG signals associated with physical performance
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and the physical performance measured using Short Physical Performance Battery score (bad physical performance if score ≤ 8).
Time frame: Day 1
HD-sEMG signals associated with physical performance
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and the physical performance measured using Short Physical Performance Battery score (bad physical performance if score ≤ 8).
Time frame: Day 7
HD-sEMG signals associated with quadriceps muscle and subcutaneous fat thickness
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and quadriceps muscle and subcutaneous fat thickness measured using portable ultrasound).
Time frame: Day 1
HD-sEMG signals associated with quadriceps muscle and subcutaneous fat thickness
Correlation between electromyographic signals from the rectus femoris collected using the HD-sEMG technique and quadriceps muscle and subcutaneous fat thickness measured using portable ultrasound).
Time frame: Day 7
Progress in muscle parameters
Changes in muscle parameters mentioned above, between the D0 and D21.
Time frame: Day 21 +/-3 days
Correlation between muscle parameters and in-hospital complications
Study the relationship between muscle parameters and in-hospital complications. (cardiovascular, pulmonary and thromboembolic diseases)
Time frame: Day 21 +/-3 days
Correlation between muscle parameters and quality of life
Study the relationship between muscle parameters and quality of life measured using EQD5 scale (EuroQol-5D; 0-20: higher scores mean a worse outcome).
Time frame: Day 1
Correlation between muscle parameters and quality of life
Study the relationship between muscle parameters and quality of life measured using EQD5 scale (EuroQol-5D; 0-20: higher scores mean a worse outcome).
Time frame: Day 21 +/-3 days
Correlation between muscle parameters and quality of life
Study the relationship between muscle parameters and quality of life measured using EQD5 scale (EuroQol-5D; 0-20: higher scores mean a worse outcome).
Time frame: Day 90+/-7 days
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