The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Frailty and Protein-Energy Wasting in Elderly Patients with End Stage Kidney Disease
Open accessAbstract
Older people constitute an increasingly greater proportion of patients with advanced CKD, including those patients undergoing maintenance dialysis treatment. Frailty is a biologic syndrome of decreased reserve and resistance to stressors that results from cumulative declines across multiple physiologic systems and causes vulnerability to adverse outcomes. Frailty is common in elderly CKD patients, and it may be associated with protein-energy wasting (PEW), sarcopenia, dynapenia, and other complications of CKD. Causes of frailty with or without PEW in the elderly with CKD can be classified into three categories: causes primarily caused by aging per se, advanced CKD per se, or a combination of both conditions. Frailty and PEW in elderly CKD patients are associated with impaired physical performance, disability, poorer quality of life, and reduced survival. Prevention and treatment of these conditions in the elderly CKD patients often require a multifaceted approach. Here, we examine the causes and consequences of these conditions and examine the interplay between frailty and PEW in elderly CKD patients.
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Cites
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
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
Feldman, H. A., Longcope, C., Derby, C. A., Johannes, C. B., Araujo, A. B., Coviello, A. D., Bremner, W. J., & McKinlay, J. B. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.2.8201 · Cited by 1,861
Longitudinal study of muscle strength, quality, and adipose tissue infiltration
Delmonico, M. J., Harris, T. B., Visser, M., Park, S. W., Conroy, M. B., Velasquez-Mieyer, P., Boudreau, R., Manini, T. M., Nevitt, M., Newman, A. B., et al. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28047 · Cited by 1,446
Aging of skeletal muscle: a 12-yr longitudinal study
Frontera, W. R., Hughes, V. A., Fielding, R. A., Fiatarone, M. A., Evans, W. J., & Roubenoff, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.88.4.1321 · Cited by 1,443
Anabolic signaling deficits underlie amino acid resistance of wasting, aging muscle
Cuthbertson, D., Smith, K., Babraj, J., Leese, G., Waddell, T., Atherton, P., Wackerhage, H., Taylor, P. M., & Rennie, M. J. (2005) · The FASEB Journal · doi:10.1096/fj.04-2640fje · Cited by 1,211
Notch-Mediated Restoration of Regenerative Potential to Aged Muscle
Conboy, I. M., Conboy, M. J., Smythe, G. M., & Rando, T. A. (2003) · Science · doi:10.1126/science.1087573 · Cited by 1,121
Body Composition in Healthy Aging
BAUMGARTNER, R. N. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06498.x · Cited by 1,078
Volpi, E., Kobayashi, H., Sheffield-Moore, M., Mittendorfer, B., & Wolfe, R. R. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.2.250 · Cited by 846
Sarcopenia: origins and clinical relevance
Rosenberg, I. H. (2011) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2011.03.003 · Cited by 786
Cited by
Frailty for Surgeons: Review of a National Institute on Aging Conference on Frailty for Specialists
Robinson, T. N., Walston, J. D., Brummel, N. E., Deiner, S., Brown, C. H., Kennedy, M., & Hurria, A. (2015) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2015.08.428 · Cited by 304
Lin, T.-Y., Wu, M.-Y., Chen, H.-S., Hung, S.-C., & Lim, P.-S. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2020.10.056 · Cited by 54
Metadata
- Authors
- Kim, J. C., Kalantar-Zadeh, K., & Kopple, J. D.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2013-03
- Volume
- 24
- Issue
- 3
- Pages
- 337-351
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2101690764
- Cited by
- 301
- References
- 26
- FWCI
- 7.00
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
