Bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for body composition assessment in children

Madhu Sudhan Karri1, Lesa Dawman2, Deepthika Sadasivam1

  • 1Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.

Insights

Bioelectrical impedance analysis (BIA) strongly correlates with dual-energy X-ray absorptiometry (DXA) for assessing body composition in children with chronic kidney disease (CKD). However, BIA shows poor concordance, limiting its use for individual patient assessment.

Area of Science:

  • Pediatric Nephrology
  • Body Composition Analysis
  • Medical Imaging

Background:

  • Children with chronic kidney disease (CKD) experience significant body composition changes.
  • Dual-energy X-ray absorptiometry (DXA) is the gold standard for assessment but has limitations (cost, radiation, availability).
  • Bioelectrical impedance analysis (BIA) is a radiation-free, portable alternative, but its accuracy in pediatric CKD requires further evaluation.

Purpose of the Study:

  • To evaluate the agreement between BIA and DXA for body composition and bone mineral assessment in children with CKD stages 3-5.
  • To determine if BIA can accurately reflect changes in body composition across different stages of CKD.

Main Methods:

  • Cross-sectional study of 102 children (aged 5-14) with CKD stages 3-5.
  • Simultaneous BIA and DXA measurements were performed on the same day.
  • Agreement was assessed using correlation coefficients (Pearson's, Lin's CCC) and Bland-Altman analysis.

Main Results:

  • BIA showed strong correlations with DXA for fat mass (FM), fat-free mass (FFM), and bone mineral content (BMC).
  • However, Lin's concordance correlation coefficient (CCC) indicated poor agreement (<0.90) for all parameters, especially body fat percentage (BF%).
  • BIA systematically underestimated FM and overestimated FFM compared to DXA, and failed to detect stage-wise body composition changes identified by DXA.

Conclusions:

  • Despite strong correlations, BIA demonstrates poor concordance with DXA in pediatric CKD, with clinically unacceptable limits of agreement.
  • DXA remains essential for individual-level body composition assessment in pediatric CKD.
  • BIA may have a role in population-level nutritional screening in resource-limited settings, but its ability to track changes requires further study.
Abstract

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