The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Correlation of a feline muscle mass score with body composition determined by dual-energy X-ray absorptiometry
Open accessAbstract
Body condition scoring (BCS) systems primarily assess body fat. Both overweight and underweight animals may have loss of lean tissue that may not be noted using standard BCS systems. Catabolism of lean tissue can occur rapidly, may account for a disproportionate amount of body mass loss in sick cats and can have deleterious consequences for outcome. Therefore, along with evaluation of body fat, patients should undergo evaluation of muscle mass. The aims of the present study were first to evaluate the repeatability and reproducibility of a 4-point feline muscle mass scoring (MMS) system and second to assess the convergent validity of MMS by dual-energy X-ray absorptiometry (DXA). MMS was as follows: 3, normal muscle mass; 2, slight wasting; 1, moderate wasting; 0, severe wasting. For the first aim, forty-four cats were selected for evaluation based on age and BCS, and for the second aim, thirty-three cats were selected based on age, BCS and MMS. Cats were scored by ten different evaluators on three separate occasions. Body composition was determined by DXA. Inter- and intra-rater agreement were assessed using kappa analysis. Correlation between MMS and BCS, age, percentage lean body mass and lean body mass (LBM) was determined using Spearman's rank-order correlation. The MMS showed moderate inter-rater agreement in cats that scored normal or severely wasted (κ = 0·48–0·53). Intra-rater agreement was substantial (κ = 0·71–0·73). The MMS was significantly correlated with BCS (r 0·76,P < 0·0001), age (r− 0·75,P < 0·0001), LBM (g) (r 0·62,P < 0·0001) and percentage LBM (r− 0·49,P < 0·0035). Additional investigation is needed to determine whether the MMS can be refined and to assess its clinical applicability.
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“The MCS has been signifi-cantly correlated with ultrasonographic measurements of the epaxial musculature (cats and dogs) and DEXA (cats).14–17”
From 2021 AAHA Nutrition and Weight Management Guidelines for Dogs and Cats (2021) · cites this paper as [16]
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Nutritional and metabolic assessment of the hospitalized patient
Blackburn, G. L., Bistrian, B. R., Maini, B. S., Schlamm, H. T., & Smith, M. F. (1977) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/014860717700100101 · Cited by 1,426
Development and validation of a body condition score system for cats: a clinical tool
Laflamme, D. P. (1997) · Feline Practice · Cited by 507
Self-citationAAHA Nutritional Assessment Guidelines for Dogs and Cats
Baldwin, K., Bartges, J. W., Buffington, T., Freeman, L. M., Grabow, M., Legred, J. A., & Ostwald, D. (2010) · Journal of the American Animal Hospital Association · doi:10.5326/0460285 · Cited by 309
Nutrition Assessment in Critically Ill Patients
Sungurtekin, H., Sungurtekin, U., Öner, Ö., & Ökke, D. (2008) · Nutrition in Clinical Practice · doi:10.1177/0884533608326137 · Cited by 142
A critical approach to nutritional assessment in critically ill patients
Ravasco, P., Camilo, M., Oliveira, A. G., Adam, S. K., & Brum, G. (2002) · Clinical Nutrition · doi:10.1054/clnu.2001.0508 · Cited by 97
Baez, J. L., Michel, K. E., Sørenmo, K. U., & Shofer, F. S. (2007) · Journal of Feline Medicine and Surgery · doi:10.1016/j.jfms.2007.02.005 · Cited by 84
Self-citationEvaluation of Body Condition and Weight Loss in Dogs Presented to a Veterinary Oncology Service
Michel, K. E., Sørenmo, K. U., & Shofer, F. S. (2004) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.2004.tb02607.x · Cited by 76
Self-citationMichel, K. E., King, L. G., & Ostro, E. N. S. (1997) · Journal of the American Veterinary Medical Association · doi:10.2460/javma.1997.210.03.356 · Cited by 33
Self-citationFemoral arteriovenous amino acid differences in septic patients.
Duff, J. H., Viidik, T., Jb, M., Holliday, R. L., Rj, F., GROVES, A. C., & WOOLF, L. I. (1979) · PubMed · Cited by 29
(1984) · Journal of Nutrition Education · doi:10.1016/s0022-3182(84)80213-7 · Cited by 19
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Metadata
- Authors
- Michel, K. E., Anderson, W., Cupp, C., & Laflamme, D. P.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Michel, Kathryn E.
- ORCID
- Michel, Kathryn E.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2011-10-12
- Volume
- 106
- Issue
- S1
- Pages
- S57-S59
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2153643706
- Cited by
- 114
- References
- 11
- Citations by year
- 2026: 7 · 2025: 3 · 2024: 10 · 2023: 8 · 2022: 11 · 2021: 9 · 2020: 14 · 2019: 17 · 2018: 5 · 2017: 11 · 2016: 6 · 2015: 5 · 2014: 4 · 2013: 2 · 2012: 1
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal Of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Veterinary › Small Animals › Veterinary Medicine and Surgery
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Keywords
- muscle atrophy, cats, body condition score, lean body mass, body composition, dual-energy X-ray absorptiometry, interobserver agreement, intraobserver agreement, convergent validity, lean tissue loss
- MeSH terms
- Aging, Animals, Body Composition, Body Weight, Cat Diseases, Cats, Muscular Atrophy, Reproducibility of Results, Absorptiometry, Photon, Muscle, Skeletal
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