Journal of Renal Nutrition
Volume 20, Issue 5 , Pages 314-320, September 2010

The Phase Angle and Mass Body Cell as Markers of Nutritional Status in Hemodialysis Patients

  • Claudia M.C. Oliveira, Ms

      Affiliations

    • Ceara State University, Fortaleza, Brazil
    • Federal University of Rio Grande do Norte, Natal, Brazil
  • ,
  • Marcos Kubrusly, PhD

      Affiliations

    • Ceara State University, Fortaleza, Brazil
  • ,
  • Rosa S. Mota, Ms

      Affiliations

    • Ceara State University, Fortaleza, Brazil
  • ,
  • Carlos A.B. Silva, PhD

      Affiliations

    • Federal University of Rio Grande do Norte, Natal, Brazil
    • University of Fortaleza, Fortaleza, Brazil
    • Corresponding Author InformationAddress reprint requests to Carlos Antonio Bruno da Silva, University of Fortaleza, Public Health Post-graduate Program, 1321, Washington Soares Av, Block S-S01, Fortaleza, Ceará, Brazil 60.811-905.
  • ,
  • Gabriel Choukroun, PhD

      Affiliations

    • Center Hospitalier Universitaire, Amiens, France
  • ,
  • Valzimeire N. Oliveira, PhD

      Affiliations

    • Ceara State University, Fortaleza, Brazil

published online 22 March 2010.

Objective

Bioelectrical impedance analysis (BIA) is a fast, noninvasive method for assessing body composition, and its role in the evaluation of nutritional status in haemodialysis (HD) has been studied. This study aimed to compare BIA parameters to clinical, biochemical, and anthropometric markers of nutrition in HD patients, such as subjective global assessment modified for renal disease (SGA-1), serum albumin, body mass index (BMI), percent of standard body weight (%SBW), deviation of triceps skinfold thickness (TSF), mid-arm circumference (MAC), mid-arm muscle circumference (MAMC) from the standard value (50th percentile), anthropometry-derived fat (FM-A), and fat-free mass (FFM-A).

Methods

BIA was performed 30 minutes after a HD session and the reactance (Xc), resistance (R), phase angle (PA), body cell mass (BCM), fat mass (FM-BIA), and fat-free mass (FFM-BIA) values were recorded. The prevalence of malnutrition was estimated according to PA and percent of BCM. The correlation between methods was assessed through Pearson's correlation coefficient and Bland and Altman analysis.

Results

A total of 58 patients were studied (30 women and 28 men; mean age of 49.2 ± 14.8 years). The mean PA was 6.19 ± 1.33 degrees and the mean percent of BCM was 33.75 ± 5.91%. The prevalence of malnutrition was 17.5% and 43.9% according to the PA and percent of BCM, respectively. PA had a negative correlation with age and SGA-1 score and a positive correlation with percent SBW, MAC, MAMC, FFM-A, and albumin. Percent of BCM had a negative correlation with age, MAC, MAMC and FM-A and a positive correlation with FFM-A and albumin. A significant correlation between FFM-A and FFM-BIA was observed, as well as between FM-A and FM-BIA.

Conclusions

BIA indexes reflected nutritional state. PA and BCM seem to be less influenced by changes in volume and can be used for nutritional assessments of dialysis patients.

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PII: S1051-2276(10)00009-9

doi:10.1053/j.jrn.2010.01.008

Journal of Renal Nutrition
Volume 20, Issue 5 , Pages 314-320, September 2010