Roche, S;
Lara-Pompa, NE;
Macdonald, S;
Fawbert, K;
Valente, J;
Williams, JE;
Hill, S;
... Fewtrell, MS; + view all
(2019)
Bioelectric impedance vector analysis (BIVA) in hospitalised children; predictors and associations with clinical outcomes.
European Journal of Clinical Nutrition
, 73
pp. 1431-1440.
10.1038/s41430-019-0436-7.
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Abstract
BACKGROUND: Clinical use of bioelectric impedance is limited by variability in hydration. Analysis of raw bioelectric impedance vectors (BIVA), resistance (R), reactance (Xc) and phase angle (PA) may be an alternative for monitoring disease progression/treatment. Clinical experience of BIVA in children is limited. We investigated predictors of BIVA and their ability to predict clinical outcomes in children with complex diagnoses. METHODS: R, Xc and PA were measured (BODYSTAT Quadscan 4000) on admission in 108 patients (4.6-16.8 years, mean 10.0). R and Xc were indexed by height (H) and BIVA-SDS for age and sex calculated using data from healthy children. Potential predictors and clinical outcomes (greater-than-expected length-of-stay (LOS), complications) were recorded. RESULTS: Mean R/H-SDS was significantly higher (0.99 (SD 1.32)) and PA-SDS lower (-1.22 (1.68))) than expected, with a wide range for all parameters. In multivariate models, the Strongkids risk category predicted R/H-SDS (adjusted mean for low, medium and high risk = 0.49, 1.28, 2.17, p = 0.009) and PA-SDS (adjusted mean -0.52, -1.53, -2.36, p = 0.01). BIVA-SDS were not significantly different in patients with or without adverse outcomes. CONCLUSIONS: These complex patients had abnormal mean BIVA-SDS suggestive of reduced hydration and poor cellular health according to conventional interpretation. R/H-SDS was higher and PA-SDS lower in those classified as higher malnutrition risk by the StrongKids tool. Further investigation in specific patient groups, including those with acute fluid shifts and using disease-specific outcomes, may better define the clinical role of BIV.
Type: | Article |
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Title: | Bioelectric impedance vector analysis (BIVA) in hospitalised children; predictors and associations with clinical outcomes |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1038/s41430-019-0436-7 |
Publisher version: | https://doi.org/10.1038/s41430-019-0436-7 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Biomarkers, Imaging, Translational research |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
URI: | https://discovery.ucl.ac.uk/id/eprint/10077444 |
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