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A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy

BACKGROUND: Body composition analysis is a valuable tool for assessing and monitoring the nutritional status of children with spinal muscular atrophy (SMA). This study was designed to compare the consistency of bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), as the...

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Autores principales: Wang, Wenqiao, Feng, Yijie, Long, Qi, Chen, Fei, Chen, Yuzhi, Ma, Ming, Mao, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715747/
https://www.ncbi.nlm.nih.gov/pubmed/36468044
http://dx.doi.org/10.3389/fneur.2022.1034894
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author Wang, Wenqiao
Feng, Yijie
Long, Qi
Chen, Fei
Chen, Yuzhi
Ma, Ming
Mao, Shanshan
author_facet Wang, Wenqiao
Feng, Yijie
Long, Qi
Chen, Fei
Chen, Yuzhi
Ma, Ming
Mao, Shanshan
author_sort Wang, Wenqiao
collection PubMed
description BACKGROUND: Body composition analysis is a valuable tool for assessing and monitoring the nutritional status of children with spinal muscular atrophy (SMA). This study was designed to compare the consistency of bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), as the gold standard method for assessing body composition in clinical practice when treating children with type II and III SMA. METHODS: From 2019 to 2021, we performed a retrospective analysis of body composition by DXA and BIA measurement methods in patients with type II and III SMA treated at a Chinese tertiary children's hospital. Fat mass (FM), muscle mass (MM), bone mineral content (BMC), and visceral fat area (VFA) were compared using paired sample t-tests. We calculated Lin's concordance correlation coefficient (CCC) and Spearman correlation coefficient to verify the correlation between DXA and BIA measurements. Bland–Altman analysis was used to assess the consistency of the two methods. RESULTS: Fifty-seven children with type II and III SMA were recruited. Compared with body composition measured by DXA, the average FM measured by BIA is significantly lower (P <0.001), whereas the average MM, BMC, and VFA measured by BIA are significantly higher (P < 0.001) in children with SMA. Overall, the difference between MM (Delta [BIA-DAX] = 1.6 kg) and FM (Delta [BIA-DAX] = −1.6 kg) measured by DXA and BIA was minor, whereas the difference of VFA (Delta [BIA-DAX] = −43.5 cm) was significantly large. Correlation analysis indicated a substantial correlation of MM (CCC = 0.96 [95% confidence interval (CI) = 0.93–0.98], r = 0.967 [P < 0.0001]) and FM (CCC = 0.95 [95% CI = 0.92–0.97], r = 0.953 [P < 0.0001]), and poor correlation of BMC (CCC = 0.61 [95% CI = 0.42–0.75], r = 0.612 [P < 0.0001]) and VFA (CCC = 0.54 [95% CI = 0.33–0.70], r = 0.689 [P < 0.0001]) measurements between the two methods. The Bland–Altman analysis suggests that the majority of participants were within LOA. In addition, differences in MM and VFA measurements between BIA and DAX increased according to patients' increasing height, whereas differences in FM and BMC did not differ with height. CONCLUSION: BIA overestimates MM and underestimates the FM, BMC, and VFA in children with SMA compared with DXA measurements. Overall, the non-invasive, easy-to-use, and repeatable BIA measurements were found to be in good agreement with DXA measurements, especially for FM and MM, which are essential parameters for the nutritional evaluation of children with SMA.
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spelling pubmed-97157472022-12-03 A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy Wang, Wenqiao Feng, Yijie Long, Qi Chen, Fei Chen, Yuzhi Ma, Ming Mao, Shanshan Front Neurol Neurology BACKGROUND: Body composition analysis is a valuable tool for assessing and monitoring the nutritional status of children with spinal muscular atrophy (SMA). This study was designed to compare the consistency of bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), as the gold standard method for assessing body composition in clinical practice when treating children with type II and III SMA. METHODS: From 2019 to 2021, we performed a retrospective analysis of body composition by DXA and BIA measurement methods in patients with type II and III SMA treated at a Chinese tertiary children's hospital. Fat mass (FM), muscle mass (MM), bone mineral content (BMC), and visceral fat area (VFA) were compared using paired sample t-tests. We calculated Lin's concordance correlation coefficient (CCC) and Spearman correlation coefficient to verify the correlation between DXA and BIA measurements. Bland–Altman analysis was used to assess the consistency of the two methods. RESULTS: Fifty-seven children with type II and III SMA were recruited. Compared with body composition measured by DXA, the average FM measured by BIA is significantly lower (P <0.001), whereas the average MM, BMC, and VFA measured by BIA are significantly higher (P < 0.001) in children with SMA. Overall, the difference between MM (Delta [BIA-DAX] = 1.6 kg) and FM (Delta [BIA-DAX] = −1.6 kg) measured by DXA and BIA was minor, whereas the difference of VFA (Delta [BIA-DAX] = −43.5 cm) was significantly large. Correlation analysis indicated a substantial correlation of MM (CCC = 0.96 [95% confidence interval (CI) = 0.93–0.98], r = 0.967 [P < 0.0001]) and FM (CCC = 0.95 [95% CI = 0.92–0.97], r = 0.953 [P < 0.0001]), and poor correlation of BMC (CCC = 0.61 [95% CI = 0.42–0.75], r = 0.612 [P < 0.0001]) and VFA (CCC = 0.54 [95% CI = 0.33–0.70], r = 0.689 [P < 0.0001]) measurements between the two methods. The Bland–Altman analysis suggests that the majority of participants were within LOA. In addition, differences in MM and VFA measurements between BIA and DAX increased according to patients' increasing height, whereas differences in FM and BMC did not differ with height. CONCLUSION: BIA overestimates MM and underestimates the FM, BMC, and VFA in children with SMA compared with DXA measurements. Overall, the non-invasive, easy-to-use, and repeatable BIA measurements were found to be in good agreement with DXA measurements, especially for FM and MM, which are essential parameters for the nutritional evaluation of children with SMA. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715747/ /pubmed/36468044 http://dx.doi.org/10.3389/fneur.2022.1034894 Text en Copyright © 2022 Wang, Feng, Long, Chen, Chen, Ma and Mao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Wang, Wenqiao
Feng, Yijie
Long, Qi
Chen, Fei
Chen, Yuzhi
Ma, Ming
Mao, Shanshan
A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title_full A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title_fullStr A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title_full_unstemmed A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title_short A comparative analysis of body composition assessment by BIA and DXA in children with type II and III spinal muscular atrophy
title_sort comparative analysis of body composition assessment by bia and dxa in children with type ii and iii spinal muscular atrophy
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715747/
https://www.ncbi.nlm.nih.gov/pubmed/36468044
http://dx.doi.org/10.3389/fneur.2022.1034894
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