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Predictors of protein-energy wasting in haemodialysis patients: a cross-sectional study.

Authors :
Ruperto, M.
Sánchez‐Muniz, F. J.
Barril, G.
Source :
Journal of Human Nutrition & Dietetics; Feb2016, Vol. 29 Issue 1, p38-47, 10p, 4 Charts, 1 Graph
Publication Year :
2016

Abstract

Background Protein-energy wasting ( PEW) is a highly prevalent condition in haemodialysis patients ( HD). The potential usefulness of nutritional-inflammatory markers in the diagnosis of PEW in chronic kidney disease has not been established completely. We hypothesised that a combination of serum albumin, percentage of mid-arm muscle circumference and standard body weight comprises a better discriminator than either single marker of nutritional status in HD patients. Methods A cross-sectional study was performed in 80 HD patients. Patients were categorised in two groups: well-nourished and PEW. Logistic regression analysis was applied to corroborate the reliability of the three markers of PEW with all the nutritional-inflammatory markers analysed. Results PEW was identified in 52.5% of HD patients. Compared with the well-nourished patients, PEW patients had lower body mass index, serum pre-albumin and body cell mass (all P < 0.001) and higher C-reactive protein (s- CRP) ( P < 0.01). Logistic regression analyses showed that the combination of the three criteria were significantly related with s- CRP >1 mg dL<superscript>−1</superscript>, phase angle <4°, and serum pre-albumin <30 mg dL<superscript>−1</superscript> (all P < 0.05). Other indicators, such as lymphocytes <20% and Charlson comorbidity index, were significantly involved (both P < 0.01). A receiver operating characteristic curve ( area under the curve) of 0.86 ( P < 0.001) was found. Conclusions The combined utilisation of serum albumin, percentage of mid-arm muscle circumference and standard body weight as PEW markers appears to be useful for nutritional-inflammatory status assessment and adds predictive value to the traditional indicators. Larger studies are needed to achieve the reliability of these predictor combinations and their cut-off values in HD patients and other populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09523871
Volume :
29
Issue :
1
Database :
Complementary Index
Journal :
Journal of Human Nutrition & Dietetics
Publication Type :
Academic Journal
Accession number :
112507401
Full Text :
https://doi.org/10.1111/jhn.12276