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Malnutrition in women with rheumatoid arthritis is not revealed by clinical anthropometrical measurements or nutritional evaluation tools
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences. (Clinical Nutrition)
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2008 (English)In: European Journal of Clinical Nutrition, ISSN 0954-3007, Vol. 62, no 10, 1239-1247 p.Article in journal (Refereed) Published
Abstract [en]

Objective: To evaluate diagnostic instruments for assessment of nutritional status in patients with rheumatoid arthritis (RA) in relation to objective body composition data.Subjects and methods: Study subjects include 60 in-ward patients (83% women, median age 65 years). Anthropometric measures and the nutritional tools Mini Nutritional Assessment (MNA), Subjective Global Assessment (SGA), Malnutrition Universal Screening Tool (MUST) and Nutritional Risk Screening tool 2002 (NRS-2002). Body composition was determined by dual-energy X-ray absorptiometry and fat-free mass index (FFMI; kg/m(2)) and fat mass index (FMI; kg/m(2)) were calculated.Results: Mean body mass index (BMI) for RA women and men were 24.4 and 26.9 kg/m(2), respectively. Twelve per cent of the women and none of the few men had BMI<18.5 kg/m(2), that is, the cutoff value for malnutrition. FFMI indicated 52% of the women and 30% of the men to be malnourished. The sensitivity and specificity for BMI to detect malnutrition according to FFMI were 27 and 100%, whereas for arm muscle circumference the sensitivity was 36% and the specificity 89% and for triceps skin fold 43 and 93%, respectively. For MNA, sensitivity was 85% and specificity 39% and for SGA 46 and 82%. Both MUST and NRS-2002 had sensitivity of 45% and specificity of 19%.Conclusion: A large proportion of in-ward RA patients had reduced FFMI. Concurrent elevation of fat mass made BMI a non-reliable tool to detect malnutrition. Of the tested clinical evaluation tools, MNA might be used as a screening instrument, but because of its low specificity it should be followed by body composition determination.

Place, publisher, year, edition, pages
2008. Vol. 62, no 10, 1239-1247 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-15734DOI: 10.1038/sj.ejcn.1602845ISI: 000259681900012PubMedID: 17637600OAI: oai:DiVA.org:uu-15734DiVA: diva2:43505
Available from: 2008-03-04 Created: 2008-03-04Bibliographically approved

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