Despite strong correlations, BIA showed poor concordance with DXA for every parameter assessed in paediatric CKD, with clinically unacceptable limits of agreement, confirming that correlation does not imply interchangeability and DXA remains necessary for individual-level assessment.
Key Findings
Results
BIA showed strong to very strong correlations with DXA for key body composition parameters in children with CKD stages 3-5.
Pearson's correlation coefficient for fat mass (FM): r = 0.93
Pearson's correlation coefficient for fat-free mass (FFM): r = 0.91
Pearson's correlation coefficient for total bone mineral content (BMC): r = 0.84
Study enrolled 102 children aged 5-14 years with CKD stages 3-5
Same-day BIA and DXA measurements were performed in all participants
Results
Lin's concordance correlation coefficient (CCC) indicated poor concordance between BIA and DXA for all body composition parameters assessed.
All Lin's CCC values fell below the 0.90 threshold used to define acceptable concordance
FFM CCC = 0.87, total BMC CCC = 0.81, total BMD CCC = 0.74
FM CCC = 0.66 and body fat percentage (BF%) CCC = 0.29
Bland-Altman analysis revealed clinically unacceptable limits of agreement for all parameters
Authors explicitly state: 'correlation does not imply interchangeability'
Results
BIA systematically underestimated fat mass and overestimated fat-free mass relative to DXA.
The systematic bias was identified through Bland-Altman analysis
This directional misclassification was consistent across participants
The pattern of underestimating FM and overestimating FFM has clinical implications for nutritional assessment in CKD children
These systematic errors were present despite the strong Pearson correlations observed
Results
DXA detected significant stage-wise reductions in multiple body composition parameters across CKD stages, whereas BIA detected only decline in fat-free mass index (FFMI).
DXA detected significant stage-wise reductions in FM, fat mass index (FMI), FFM, and FFMI across CKD stages 3-5
BIA detected only the decline in FFMI (p = 0.012)
BIA failed to detect stage-wise differences in FM, FMI, and FFM that DXA identified
This finding limits the diagnostic precision of BIA in tracking CKD progression in children
Methods
The study was a cross-sectional design assessing agreement between BIA and DXA in 102 children with CKD stages 3-5.
Children aged 5-14 years were enrolled
Agreement was assessed using Pearson's correlation coefficient, Lin's concordance correlation coefficient (CCC), and Bland-Altman analysis
Associations with CKD stage and sex were examined
The ability of BIA to track change over time was not tested in this cross-sectional study
CKD stages 3-5 were included, representing moderate to severe kidney disease
Conclusions
The authors concluded that BIA may retain a role in population-level nutritional screening in resource-limited settings but that DXA remains necessary for individual-level assessment in paediatric CKD.
BIA is portable and radiation-free, making it suitable for resource-limited settings at the population screening level
DXA is limited by cost, radiation exposure, and availability in routine clinical practice
Individual-level clinical decisions in paediatric CKD should not rely on BIA measurements alone
The ability of BIA to track change over time was explicitly noted as not tested in this study
What This Means
This research suggests that while a portable body composition measurement tool called bioelectrical impedance analysis (BIA) produces readings that move in the same direction as the gold-standard method called dual-energy X-ray absorptiometry (DXA) in children with chronic kidney disease (CKD), the two methods cannot be used interchangeably. The study enrolled 102 children aged 5–14 years with moderate to severe CKD and found that although BIA and DXA results were strongly correlated, BIA consistently underestimated body fat and overestimated lean tissue compared to DXA, with differences large enough to matter clinically for individual patients.
A particularly important finding was that DXA could detect meaningful worsening of body composition as kidney disease progressed through stages 3 to 5, identifying reductions in fat mass, lean mass, and related measures. BIA, by contrast, could only detect one of these four changes. This means that using BIA alone in a child with CKD could miss important deterioration in their nutritional status that a clinician would need to know about to guide treatment.
This research suggests that BIA might still be useful for broad nutritional screening at the population level, especially in settings where DXA is too expensive or unavailable, but it should not replace DXA when precise, individual-level body composition assessment is needed in children with kidney disease. The study also notes that whether BIA can reliably track changes over time in this population was not tested and remains an open question.
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Karri M, Dawman L, Sadasivam D, Vallabhaneni P, Mahajan S, Singh T, et al.. (2026). Bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for body composition assessment in children with chronic kidney disease.. European journal of pediatrics. https://doi.org/10.1007/s00431-026-07355-x