A review of nutrition screening tools used to assess the malnutrition-sarcopenia syndrome (MSS) in the older adult
Abstract
Background Malnutrition and sarcopenia are common in older adults. A new clinical syndrome has been suggested - the Malnutrition Sarcopenia Syndrome (MSS) - that may provide improved management, by highlighting two older adult conditions that can interact in a cumulative way to affect functional independence and health outcomes. This paper evaluates the published literature reporting data on both nutrition and sarcopenia evaluation simultaneously in the population studied, and creates a diagnostic algorithm. Methods An inclusive, systematic literature search was done for articles including a simultaneous standardised evaluation of sarcopenia and nutritional status, from 1990-date. Sarcopenic status needed to be evaluated using accepted guidelines published by international guideline committees which include a functional muscle evaluation and a quantitative evaluation using bioimpedence assay or dual energy X-ray absorptiometry. Nutritional status needed to evaluated with a standardised, validated nutritional screening tool that was not disease specific. Results 11 studies met these criteria. They differed in their methodology for screening both sarcopenia and nutritional issues. They differed as to the population studied (community versus institutionalised versus hospitalised). Conclusions No one methodology was consistent for evaluation of sarcopenia or malnutrition. The concept of the Malnutrition Sarcopenia Syndrome intuitively makes sense to clinicians. This opinion paper suggests a possible clinical approach. The management and interventions for both conditions are likely to have considerable overlap. There needs to be some consensus on how to evaluate it, in order to be able to accurately interpret the impact of interventions that may be undertaken for one or both conditions simultaneously.
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Although MSS has not yet been widely evaluated in health settings, its potential value for predicting poor outcomes in clinical practices has been illustrated in several studies.
“Although MSS has not yet been widely evaluated in health settings, its potential value for predicting poor outcomes in clinical practices has been illustrated in several studies (53, 54).”
From Evolution of the diagnosis of malnutrition in adults: a primer for clinicians (2024) · cites this paper as [54]
Cites
Goodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083 · see citing works
Verlaan, S., Aspray, T. J., Bauer, J. M., Cederholm, T., Hemsworth, J., Hill, T. R., McPhee, J. S., Piasecki, M., Seal, C., Sieber, C. C., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2015.11.013 · Cited by 268 · see citing works
Fragala, M. S., Kenny, A. M., & Kuchel, G. A. (2015) · Sports Medicine · doi:10.1007/s40279-015-0305-z · Cited by 246 · see citing works
Malnutrition, fatigue, frailty, vulnerability, sarcopenia and cachexia: overlap of clinical features
Jeejeebhoy, K. N. (2012) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/mco.0b013e328352694f · Cited by 226 · see citing works
Vandewoude, M. F. J., Alish, C. J., Sauer, A. C., & Hegazi, R. A. (2012) · Journal of Aging Research · doi:10.1155/2012/651570 · Cited by 214 · see citing works
Liao, C.-D., Tsauo, J.-Y., Lin, L.-F., Huang, S.-W., Ku, J.-W., Chou, L.-C., & Liou, T.-H. (2017) · Medicine · doi:10.1097/md.0000000000007115 · Cited by 201 · see citing works
ter Borg, S., de Groot, L. C. P. G. M., Mijnarends, D. M., de Vries, J. H. M., Verlaan, S., Meijboom, S., Luiking, Y. C., & Schols, J. M. G. A. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2015.12.015 · Cited by 144 · see citing works
Methods, Diagnostic Criteria, Cutoff Points, and Prevalence of Sarcopenia among Older People
Pagotto, V., & Silveira, E. A. (2014) · The Scientific World Journal · doi:10.1155/2014/231312 · Cited by 100 · see citing works
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Malnutrition as a strong predictor of the onset of sarcopenia
Beaudart, C., Sanchez-Rodriguez, D., Locquet, M., Reginster, J.-Y., Lengelé, L., & Bruyère, O. (2019) · Nutrients · doi:10.3390/nu11122883 · Cited by 226 · see citing works
Evolution of the diagnosis of malnutrition in adults: a primer for clinicians
Hegazi, R., Miller, A., & Sauer, A. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1169538 · Cited by 26 · see citing works
- Authors
- Juby, A. G., & Mager, D. R.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Juby, Angela G.
- Venue
- Clinical Nutrition ESPEN
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 32
- Pages
- 8-15
- ISSN
- 2405-4577 (ISSN-L)
- OpenAlex
- W2939704173
- Cited by
- 40
- References
- 8
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 6 · 2021: 5 · 2020: 5 · 2019: 3
- FWCI
- 0.56
- Type
- journal article
- Language
- en
- Update notices
- erratum (2021-04-01)
- Open access
- closed
- Locations
- Clinical Nutrition ESPEN (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Health Professions › Speech and Hearing › Dysphagia Assessment and Management
- Keywords
- sarcopenia, malnutrition, older adults, nutrition screening tools, nutritional assessment, diagnostic algorithm, bioimpedance, dual-energy X-ray absorptiometry, functional independence
- MeSH terms
- Aged, Humans, Nutritional Status, Syndrome, Nutrition Assessment, Frail Elderly, Malnutrition, Sarcopenia
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