Study Results
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Basic Information
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TERMINATED
NA
6 participants
INTERVENTIONAL
2024-06-28
2024-08-06
Brief Summary
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Detailed Description
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Several meta-analyzes have been carried out on this subject . In the study by Inoue et al., which brings together 35 studies on the subject, the rates of sarcopenia observed were overall of the order of 15% before the stroke, of 30% in the 10 days post-stroke and of the order of 50% in the first semester . Only about 10 studies have been performed in the acute phase . However, the majority of these studies were performed in Asian populations (32 of them). But this is a population with demographic and physiological characteristics that are different from those in the West. Thus, body mass indices are lower and the representation of older people is higher in the population (the Japanese population is the oldest in the world).
Body composition may be a predictor of the course of recovery from stroke. In a cohort study it was thus shown by bioimpedance measurements that patients with the lowest muscle mass index had more severe neurological deficits at admission. They also had poorer functioning and longer hospital stays. Muscle mass is an independent variable in predicting what happens to people who have had a stroke.
Strokes cause motor deficits that reduce movement on the deficit side but also on the unaffected side. Sarcopenia (loss of strength and muscle mass) develops in the first few days after a stroke and worsens the consequences of neurologic damage. While immobilization rapidly leads to sarcopenia, sarcopenia has been poorly studied in acute stroke, especially in Asian populations, which are unrepresentative of Western populations.
The aims of this work are to:
1. Longitudinally determine rates of sarcopenia in the acute phase of stroke during follow-up over the first 10 days after stroke.
2. Determine the factors that predict the occurrence of sarcopenia (age, degree of initial deficiency, lesion volume, etc.)
3. Track body composition by segment (4 limbs and trunk) over time in impedance measurement, particularly by distinguishing between deficit and nondeficit. Investigators will distinguish the usual parameters (skeletal muscle mass, angle phase).
4. Monitor motor recovery of the deficient upper limb and determine whether muscle mass is a prognostic factor for recovery.
Measurement will be done at three time (T1, T2, T3) T1 corresponds to the first 72 hours post stroke T2 corresponds at 5 days (+/-1 days) T2 corresponds at 8 days (+/-1 days)
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Impedance measurement for acute stroke patient
Acute stroke patients will benefit from impedance measurement and dynamometry to determine the evolution of sarcopenia rates.
Bioimpedancemetry
2\. Bioimpedancemetry at T1, T2, T3 ; the measurement will be
1. Squeletic mass (total and for each of the 4 limbs)
2. Angle phase (total and for each of the 4 limbs)
Dynamometry
Dynamometry will be performed to assess the strength of each upper limb (deficient and non deficient) at T1, T2, T3
Interventions
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Bioimpedancemetry
2\. Bioimpedancemetry at T1, T2, T3 ; the measurement will be
1. Squeletic mass (total and for each of the 4 limbs)
2. Angle phase (total and for each of the 4 limbs)
Dynamometry
Dynamometry will be performed to assess the strength of each upper limb (deficient and non deficient) at T1, T2, T3
Eligibility Criteria
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Inclusion Criteria
* Over 18 years of age
* Functional Ambulation Categories (FAC) \< 3
* NIHSS upper limb score ≥ 1
* Able to understand assessment instructions
* Non-objection to the study
* Affiliated with a social security scheme
Exclusion Criteria
* Person deprived of liberty
* Person under court protection
* Other neurological or rheumatological pathology limiting mobility
* Presence of a pacemaker or defibrillator.
* Pregnant or breast-feeding woman
18 Years
ALL
No
Sponsors
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Centre Hospitalier Régional d'Orléans
OTHER
Responsible Party
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Principal Investigators
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Canan OZSANCAK, PH
Role: PRINCIPAL_INVESTIGATOR
CHU Orléans
Locations
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CHU d'ORLEANS
Orléans, , France
Countries
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References
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Abe T, Iwata K, Yoshimura Y, Shinoda T, Inagaki Y, Ohya S, Yamada K, Oyanagi K, Maekawa Y, Honda A, Kohara N, Tsubaki A. Low Muscle Mass is Associated with Walking Function in Patients with Acute Ischemic Stroke. J Stroke Cerebrovasc Dis. 2020 Nov;29(11):105259. doi: 10.1016/j.jstrokecerebrovasdis.2020.105259. Epub 2020 Aug 28.
Herman SD, Friedman AC, Radecki PD, Caroline DF. Incidental prostatic carcinoma detected by MRI and diagnosed by MRI/CT-guided biopsy. AJR Am J Roentgenol. 1986 Feb;146(2):351-2. doi: 10.2214/ajr.146.2.351. No abstract available.
Arasaki K, Igarashi O, Ichikawa Y, Machida T, Shirozu I, Hyodo A, Ushijima R. Reduction in the motor unit number estimate (MUNE) after cerebral infarction. J Neurol Sci. 2006 Dec 1;250(1-2):27-32. doi: 10.1016/j.jns.2006.06.024. Epub 2006 Aug 9.
Arasaki K, Igarashi O, Machida T, Hyodo A, Ushijima R. Reduction in the motor unit number estimate (MUNE) after cerebral infarction. Suppl Clin Neurophysiol. 2009;60:189-95. doi: 10.1016/s1567-424x(08)00019-6.
Beckwee D, Cuypers L, Lefeber N, De Keersmaecker E, Scheys E, Van Hees W, Perkisas S, De Raedt S, Kerckhofs E, Bautmans I, Swinnen E. Skeletal Muscle Changes in the First Three Months of Stroke Recovery: A Systematic Review. J Rehabil Med. 2022 Oct 4;54:jrm00308. doi: 10.2340/jrm.v54.573.
Bellelli G, Zambon A, Volpato S, Abete P, Bianchi L, Bo M, Cherubini A, Corica F, Di Bari M, Maggio M, Manca GM, Rizzo MR, Rossi A, Landi F; GLISTEN Group Investigators. The association between delirium and sarcopenia in older adult patients admitted to acute geriatrics units: Results from the GLISTEN multicenter observational study. Clin Nutr. 2018 Oct;37(5):1498-1504. doi: 10.1016/j.clnu.2017.08.027. Epub 2017 Sep 5.
Bernhardt J, Hayward KS, Kwakkel G, Ward NS, Wolf SL, Borschmann K, Krakauer JW, Boyd LA, Carmichael ST, Corbett D, Cramer SC. Agreed Definitions and a Shared Vision for New Standards in Stroke Recovery Research: The Stroke Recovery and Rehabilitation Roundtable Taskforce. Neurorehabil Neural Repair. 2017 Sep;31(9):793-799. doi: 10.1177/1545968317732668.
Other Identifiers
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CHUO-2023-10
Identifier Type: -
Identifier Source: org_study_id
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