The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Prevalence of Sarcopenia and Associated Outcomes in the Clinical Setting
Abstract
Sarcopenia refers to age‐associated decrease in muscle mass and function. The condition was originally described in the elderly, but emerging evidence suggests that it is also a concern among the chronically ill nonelderly. Currently there are a number of definitions for diagnosing sarcopenia; however, in the clinical setting, abdominal computed tomography (CT) scans completed for diagnostic purposes can be utilized to identify CT‐defined sarcopenia. Recent studies suggest that prevalence of CT‐defined sarcopenia is high among chronically ill patients, ranging from 15%–50% in patients with cancer, 30%–45% with liver failure, and 60%–70% for critically ill patients in the intensive care unit. Depleted muscle mass is associated with infectious complications, prolonged duration of mechanical ventilation, longer hospitalization, greater need for rehabilitation care after hospital discharge, and higher mortality. In consideration of the growing population of older adults with multiple comorbidities, more research is needed to identify sarcopenia and develop interventions that are directed at attenuating or reversal muscle loss.
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Cites
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Epidemiology of Sarcopenia among the Elderly in New Mexico
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What is subjective global assessment of nutritional status?
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“Since Baumgartner’s original definition, clinicians and researchers recognized the relationship between deterioration in muscle mass and a decline in strength, metabolic rate, and aerobic capacity and subsequently added the assessment of functional status to the characterization of sarcopenia.(3,18) Together, the asse…”
BackgroundMuscaritoli, M., Anker, S. D., Argilés, J., Aversa, Z., Bauer, J. M., Biolo, G., Boirie, Y., Bosaeus, I., Cederholm, T., Costelli, P., et al. (2010) · Clinical Nutrition · doi:10.1016/j.clnu.2009.12.004 · Cited by 1,732 · cited 1×
“Based on this definition 15% of patients were sarcopenic.(19) In 2013, Martin et al extended the usefulness of Prado’s approach by establishing BMI thresholds for classifying sarcopenia.”
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Cited by
Osteosarcopenia: where bone, muscle, and fat collide
Hirschfeld, H. P., Kinsella, R., & Duque, G. (2017) · Osteoporosis International · doi:10.1007/s00198-017-4151-8 · Cited by 527
Association Between Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis
Chang, K.-V., Hsu, T.-H., Wu, W.-T., Huang, K.-C., & Han, D.-S. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.09.013 · Cited by 448
Achamrah, N., Colange, G., Delay, J., Rimbert, A., Folope, V., Petit, A., Grigioni, S., Déchelotte, P., & Coëffier, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200465 · Cited by 337
Effects of Resistance Exercise on Bone Health
Hong, A. R., & Kim, S. W. (2018) · Endocrinology and Metabolism · doi:10.3803/enm.2018.33.4.435 · Cited by 291
Van Ancum, J. M., Scheerman, K., Jonkman, N. H., Smeenk, H. E., Kruizinga, R. C., Meskers, C. G. M., & Maier, A. B. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.03.006 · Cited by 118
Metadata
- Authors
- Peterson, S. J., & Braunschweig, C. A.
- Venue
- Nutrition in Clinical Practice
- Publisher
- Wiley
- Published
- 2015-12-24
- Volume
- 31
- Issue
- 1
- Pages
- 40-48
- ISSN
- 0884-5336 (ISSN-L)
- 1941-2452
- OpenAlex
- W2216046350
- Cited by
- 185
- References
- 27
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
