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

Sarcopenia Clinical Trial

— GERIASARC  

Official title:

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

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT03553147
• Other study ID #: CHU-390
• Secondary ID: 2017-A03050-53
• Status: Recruiting
• Phase: N/A
• Start date: May 31, 2018
• Est. completion date: September 30, 2019

Study information

• Verified date: February 2019
• Source: University Hospital, Clermont-Ferrand
• Contact: Patrick LACARIN
• Phone: 0473751195
• Email: placarin[@]chu-clermontferrand.fr
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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

Description:

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 260
• Est. completion date: September 30, 2019
• Est. primary completion date: April 30, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 70 Years and older

Eligibility

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)

Related Conditions & MeSH terms

• Denutrition
• Malnutrition
• Sarcopenia

Intervention

Other:
• 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.

Locations

Country	Name	City	State
France	CHU Clermont-Ferrand	Clermont-Ferrand

Sponsors (1)

Lead Sponsor	Collaborator
University Hospital, Clermont-Ferrand

Country where clinical trial is conducted

France, 

References & Publications (9)

Beaudart C, Zaaria M, Pasleau F, Reginster JY, Bruyère 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. Review. — View Citation

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. — View Citation

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. — View Citation

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, Topinková 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. — View Citation

Dellière 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. Review. — View Citation

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. — View Citation

Ethgen O, Beaudart C, Buckinx F, Bruyère 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. — View Citation

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. — View Citation

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. Review. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	score SARC-F	SARC-F score (dependent variable) defined by a questionnaire, completed by the patient during the stay at the clinic. This questionnaire includes 5 questions rated from 0 to 2 and is therefore 10 in total. It is admitted the presence of sarcopenia for a score greater than or equal to 4 according to the literature. However, there is currently no study defining a threshold for the diagnosis of undernutrition	at day 1
Secondary	SARC-F to predict undernutrition	discriminant values of SARC-F to predict undernutrition in the study population, considered qualitatively or quantitatively	at day 1
Secondary	denutrition prevalence	overall prevalence of undernutrition in the study population	at day 1