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Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis

INTRODUCTION: the present study aims to evaluate body composition and its relationship with hormonal control in acromegaly, also comparing the performance of Bioelectrical impedance analysis (BIA), a more accessible method, with dual X-ray absorptiometry (DXA), technology frequently used in current...

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Autores principales: Lopes, Aline Alves, Albuquerque, Luciano, Fontes, Mayara, Rego, Daniella, Bandeira, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159810/
https://www.ncbi.nlm.nih.gov/pubmed/35663315
http://dx.doi.org/10.3389/fendo.2022.866099
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author Lopes, Aline Alves
Albuquerque, Luciano
Fontes, Mayara
Rego, Daniella
Bandeira, Francisco
author_facet Lopes, Aline Alves
Albuquerque, Luciano
Fontes, Mayara
Rego, Daniella
Bandeira, Francisco
author_sort Lopes, Aline Alves
collection PubMed
description INTRODUCTION: the present study aims to evaluate body composition and its relationship with hormonal control in acromegaly, also comparing the performance of Bioelectrical impedance analysis (BIA), a more accessible method, with dual X-ray absorptiometry (DXA), technology frequently used in current studies. METHODS: we studied 28 patients (78% female) of whom 13 with active disease, mean age was 52.11 ± 12.53 years; 64% had high blood pressure (HBP) and 50% had type 2 diabetes (T2D). RESULTS: Although patients with controlled disease had lower serum GH (1.2 ± 1.68µg/L vs 6.61 ± 6.40µg/L, p=0.001) and IGF-1 (158.89 ± 54.53ng/mL and 503.31 ± 253.25ng/mL, p<0.001), they did not differ in body composition: percentage of fat mass: 36.13 ± 11.84% vs 37.73 ± 8.76%, p=0.691 for BIA and 37.10 ± 10.21% vs 37.89 ± 7.32%, p=0.819 for DXA; muscle mass parameters, BIA: FFMI 18.68 ± 2.38kg/m(2) vs 19.14 ± 1.59kg/m(2), p=0.560; SMI 10.17 ± 1.39kg/m(2) vs 10.53 ± 1.01kg/m(2), p=0.438; DXA: Baumgartner 7.99 ± 1.43kg/m(2) vs 8.02 ± 1.24kg/m(2), p=0.947, respectively for controlled and active disease. Patients with controlled acromegaly had lower fasting glucose (110.33 ± 55.48mg/dL vs 129.77 ± 40.17mg/dL, p=0.033) and were less likely to have persistent T2D (28.6 vs 71.4%, p=0.008) and HBP (38.9 vs 61.1%, p=0.049). There were strong positive correlations between BIA and DXA for fat mass (r=0.929, p<0.001) and muscle mass parameters: SMI X Baumgartner: r=0.890, p<0.001; and FFMI X Baumgartner: r=0.868, p<0.001. CONCLUSION: our data showed similar results in body composition assessment by BIA and DXA, with good correlation between the methods, regardless of the hormonal status of acromegaly. Furthermore, in patients with adequate hormonal control, there was preservation of muscle mass and a lower prevalence of metabolic comorbidities, such as T2D and HBP.
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spelling pubmed-91598102022-06-02 Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis Lopes, Aline Alves Albuquerque, Luciano Fontes, Mayara Rego, Daniella Bandeira, Francisco Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: the present study aims to evaluate body composition and its relationship with hormonal control in acromegaly, also comparing the performance of Bioelectrical impedance analysis (BIA), a more accessible method, with dual X-ray absorptiometry (DXA), technology frequently used in current studies. METHODS: we studied 28 patients (78% female) of whom 13 with active disease, mean age was 52.11 ± 12.53 years; 64% had high blood pressure (HBP) and 50% had type 2 diabetes (T2D). RESULTS: Although patients with controlled disease had lower serum GH (1.2 ± 1.68µg/L vs 6.61 ± 6.40µg/L, p=0.001) and IGF-1 (158.89 ± 54.53ng/mL and 503.31 ± 253.25ng/mL, p<0.001), they did not differ in body composition: percentage of fat mass: 36.13 ± 11.84% vs 37.73 ± 8.76%, p=0.691 for BIA and 37.10 ± 10.21% vs 37.89 ± 7.32%, p=0.819 for DXA; muscle mass parameters, BIA: FFMI 18.68 ± 2.38kg/m(2) vs 19.14 ± 1.59kg/m(2), p=0.560; SMI 10.17 ± 1.39kg/m(2) vs 10.53 ± 1.01kg/m(2), p=0.438; DXA: Baumgartner 7.99 ± 1.43kg/m(2) vs 8.02 ± 1.24kg/m(2), p=0.947, respectively for controlled and active disease. Patients with controlled acromegaly had lower fasting glucose (110.33 ± 55.48mg/dL vs 129.77 ± 40.17mg/dL, p=0.033) and were less likely to have persistent T2D (28.6 vs 71.4%, p=0.008) and HBP (38.9 vs 61.1%, p=0.049). There were strong positive correlations between BIA and DXA for fat mass (r=0.929, p<0.001) and muscle mass parameters: SMI X Baumgartner: r=0.890, p<0.001; and FFMI X Baumgartner: r=0.868, p<0.001. CONCLUSION: our data showed similar results in body composition assessment by BIA and DXA, with good correlation between the methods, regardless of the hormonal status of acromegaly. Furthermore, in patients with adequate hormonal control, there was preservation of muscle mass and a lower prevalence of metabolic comorbidities, such as T2D and HBP. Frontiers Media S.A. 2022-05-18 /pmc/articles/PMC9159810/ /pubmed/35663315 http://dx.doi.org/10.3389/fendo.2022.866099 Text en Copyright © 2022 Lopes, Albuquerque, Fontes, Rego and Bandeira 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 Endocrinology
Lopes, Aline Alves
Albuquerque, Luciano
Fontes, Mayara
Rego, Daniella
Bandeira, Francisco
Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title_full Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title_fullStr Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title_full_unstemmed Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title_short Body Composition in Acromegaly According to Disease Activity – Performance of Dual X-Ray Absorptiometry and Multifrequency Bioelectrical Impedance Analysis
title_sort body composition in acromegaly according to disease activity – performance of dual x-ray absorptiometry and multifrequency bioelectrical impedance analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159810/
https://www.ncbi.nlm.nih.gov/pubmed/35663315
http://dx.doi.org/10.3389/fendo.2022.866099
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