Evaluation of the SARC-F Score as a Screening Tool for Undernutrition in a Geriatric Population

NCT ID: NCT03553147

Last Updated: 2019-02-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

260 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-05-31

Study Completion Date

2019-09-30

Brief Summary

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To study the relationship between sarcopenia and undernutrition in adult patients over 70 years of age, and at the same time to define a threshold value for the predictive SARC-F score of undernutrition.

Hypothesis : the SARC-F score is correlated with malnutrition defined according to the following HAS criteria :

Moderate denutrition Severe denutrition

Detailed Description

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The geriatric population is a population at risk, given the frequent and numerous comorbidities present. Undernutrition is one of these, which is frequently associated with sarcopenia, that is, a decrease in muscle strength. Its screening must be early to avoid complications (osteoporosis, fractures, infections ...) and given the cost it generates for society. However, the detection of undernutrition can sometimes be time-consuming and its criteria in default, such as in the presence of edema or obesity, for example. There is a score, the SARC-F, which allows to detect sarcopenia from a result greater than or equal to 4, but which does not allow direct detection of undernutrition.

The primary objective is to evaluate the SARC-F score as a screening tool for undernutrition in a geriatric population, secondary objectives being to find a threshold value at this score, and also to estimate a prevalence of undernutrition in this population.

It will be a cross-sectional exploratory study to evaluate a diagnostic tool, the SARC-F score, with comparison between cases and controls.

The study will be conducted in a single center, a geriatric short-stay service. Participation in the study will be offered to any patient admitted to the geriatric ward, those who meet the inclusion criteria and do not have exclusion criteria will have to complete the SARC-F questionnaire during their stay, and to do the handgrip test and impedancemetry performed by a third party. Biological data (albumin, pre-albumin and C-Reactive Protein) and anthropometric data will be collected and analyzed to determine if the patient is malnourished or not, and the results of SARC-F will be compared between these 2 groups.

Conditions

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Sarcopenia Denutrition

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

No masking

Study Groups

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Group/Cohort 1

all patient SARC-F score, handgrip test and impedancemetry

Group Type EXPERIMENTAL

SARC-F score, handgrip test and impedancemetry

Intervention Type OTHER

Participation in the study will be offered to any patient admitted to the geriatric ward, those who meet the inclusion criteria and do not have exclusion criteria will have to complete the SARC-F questionnaire during their stay, and to do the handgrip test and impedancemetry performed by a third party. Biological data (albumin, pre-albumin and C-Reactive Protein) and anthropometric data will be collected and analyzed to determine if the patient is malnourished or not, and the results of SARC-F will be compared between these 2 groups.

Interventions

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SARC-F score, handgrip test and impedancemetry

Participation in the study will be offered to any patient admitted to the geriatric ward, those who meet the inclusion criteria and do not have exclusion criteria will have to complete the SARC-F questionnaire during their stay, and to do the handgrip test and impedancemetry performed by a third party. Biological data (albumin, pre-albumin and C-Reactive Protein) and anthropometric data will be collected and analyzed to determine if the patient is malnourished or not, and the results of SARC-F will be compared between these 2 groups.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 70 years and over
* living at home or in nursing homes in Puy-de-Dôme
* sent in short geriatric stay at the Grand Pré clinic by their general practioner, an emergency department or an EHPAD

Exclusion Criteria

* refusal to participate in the study
* severe dementia preventing answering SARC-F questions
* no fluency in the French language
* patient with a pacemaker (contraindication of the use of impedancemetry)
Minimum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Hospital, Clermont-Ferrand

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Nicolas FARIGON

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Clermont-Ferrand

Locations

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CHU Clermont-Ferrand

Clermont-Ferrand, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Patrick LACARIN

Role: CONTACT

0473751195

Facility Contacts

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Patrick LACARIN

Role: primary

0473751195

References

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Cederholm T, Bosaeus I, Barazzoni R, Bauer J, Van Gossum A, Klek S, Muscaritoli M, Nyulasi I, Ockenga J, Schneider SM, de van der Schueren MA, Singer P. Diagnostic criteria for malnutrition - An ESPEN Consensus Statement. Clin Nutr. 2015 Jun;34(3):335-40. doi: 10.1016/j.clnu.2015.03.001. Epub 2015 Mar 9.

Reference Type BACKGROUND
PMID: 25799486 (View on PubMed)

Delliere S, Cynober L. Is transthyretin a good marker of nutritional status? Clin Nutr. 2017 Apr;36(2):364-370. doi: 10.1016/j.clnu.2016.06.004. Epub 2016 Jun 20.

Reference Type BACKGROUND
PMID: 27381508 (View on PubMed)

Zamboni M, Mazzali G, Fantin F, Rossi A, Di Francesco V. Sarcopenic obesity: a new category of obesity in the elderly. Nutr Metab Cardiovasc Dis. 2008 Jun;18(5):388-95. doi: 10.1016/j.numecd.2007.10.002. Epub 2008 Apr 18.

Reference Type BACKGROUND
PMID: 18395429 (View on PubMed)

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, Topinkova E, Vandewoude M, Zamboni M; European Working Group on Sarcopenia in Older People. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010 Jul;39(4):412-23. doi: 10.1093/ageing/afq034. Epub 2010 Apr 13.

Reference Type BACKGROUND
PMID: 20392703 (View on PubMed)

Beaudart C, Zaaria M, Pasleau F, Reginster JY, Bruyere O. Health Outcomes of Sarcopenia: A Systematic Review and Meta-Analysis. PLoS One. 2017 Jan 17;12(1):e0169548. doi: 10.1371/journal.pone.0169548. eCollection 2017.

Reference Type BACKGROUND
PMID: 28095426 (View on PubMed)

Deren ME, Babu J, Cohen EM, Machan J, Born CT, Hayda R. Increased Mortality in Elderly Patients with Sarcopenia and Acetabular Fractures. J Bone Joint Surg Am. 2017 Feb 1;99(3):200-206. doi: 10.2106/JBJS.16.00734.

Reference Type BACKGROUND
PMID: 28145950 (View on PubMed)

Ethgen O, Beaudart C, Buckinx F, Bruyere O, Reginster JY. The Future Prevalence of Sarcopenia in Europe: A Claim for Public Health Action. Calcif Tissue Int. 2017 Mar;100(3):229-234. doi: 10.1007/s00223-016-0220-9. Epub 2016 Dec 24.

Reference Type BACKGROUND
PMID: 28012107 (View on PubMed)

Malmstrom TK, Miller DK, Simonsick EM, Ferrucci L, Morley JE. SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J Cachexia Sarcopenia Muscle. 2016 Mar;7(1):28-36. doi: 10.1002/jcsm.12048. Epub 2015 Jul 7.

Reference Type BACKGROUND
PMID: 27066316 (View on PubMed)

Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.

Reference Type BACKGROUND
PMID: 3558716 (View on PubMed)

Other Identifiers

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CHU-390

Identifier Type: -

Identifier Source: org_study_id

2017-A03050-53

Identifier Type: OTHER

Identifier Source: secondary_id

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