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SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery
Sarcopenic obesity increases the risk of metabolic complications (MC), falls, fractures and even increased mortality. The identification of a low muscle mass (LMM) occurs through the muscle mass index (MMI). The height-adjusted MMI in the elderly is the most used for the diagnosis of sarcopenia (SAR...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Endocrine Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553452/ http://dx.doi.org/10.1210/js.2019-SUN-542 |
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author | Carvalho, Nara Baccin, Vinícius Holanda, Narriane Filho, João Carvalho, Marta Silva, Gitana Pimenta, Flávia Alves, José |
author_facet | Carvalho, Nara Baccin, Vinícius Holanda, Narriane Filho, João Carvalho, Marta Silva, Gitana Pimenta, Flávia Alves, José |
author_sort | Carvalho, Nara |
collection | PubMed |
description | Sarcopenic obesity increases the risk of metabolic complications (MC), falls, fractures and even increased mortality. The identification of a low muscle mass (LMM) occurs through the muscle mass index (MMI). The height-adjusted MMI in the elderly is the most used for the diagnosis of sarcopenia (SARC). However, in the young obese subject there is data in the literature favoring the weight-adjusted MMI, due to a better identification of SARC and correlation with MC. Objective: To identify obese patients with low muscle mass (O-LMM) prior to bariatric surgery through three different MMIs regarding muscle function (hand grip (HG) and gait velocity (GV)), bone mineral density (BMD) and metabolic profile. Methods: The cross-sectional study, involving 59 obese women of a public hospital in Brazil, was conducted. The sample was divided into two groups according to the presence of O-LMM and obese patients with normal muscle mass (O-NMM) for each IMM. We considered O-LMM patients who were in the lowest quintile for each IMM and the patients who were in the other quintiles were considered as O-NMM. The body composition was evaluated by bio-impedance (inbody-370), multifrequency (5, 50, 250 HZ), with fasting of 12 hours and BMD by lunar densitometer prodigy advance. To estimate muscle mass, the following MMIs were used: height-adjusted MMI (MMI-height): appendicular muscle mass (AMM) / height(2); MMI adjusted for weight (MMI-weight): AMM / weight x 100 and MMI adjusted for body mass index (MMI-BMI): MMA / BMI. The HG was evaluated by jamar dynamometer (3 measurements with interval of 30 seconds between them) and the physical performance by the GV for 6 minutes. Fasting glycemia, HbA1c, HOMA-IR, insulin, total cholesterol, HDL, LDL, triglycerides and high sensitivity quantitative C-reactive protein were assessed. Results: The participants had a mean age of 39.53 ± 8,99 years, weight: 108.60 ± 13.86 kg and BMI: 42.6 ± 4.64 kg / m(2). O-LMM were identified at 30.5% (n = 18) by MMI-weight, and also at 20.33% by MMI-BMI and MMI-height. Patients in the lowest quintile for the MMI-weight had a lower HG (24.16 x 30.69 kg, p = 0.000), lower BMD in L1-L4 (1.17 x 1.27 g / cm(2), p = 0.001), in the femoral neck (FN) ( 1.04 x 1.14 g / cm(2), p = 0.012) and in the total femur (TF) (1.10 x 1.19 g / cm(2), p = 0.039), respectively, but without significant difference for GV. For MMI-BMI, O-LMM presented lower GV (0.93 x 1.06 m / s, p = 0.017) and HG (23.19 x 30.22 kg, p = 0.000), however without significant difference for BMD. The O-LMM identified by the MMI-height had lower BMD in FN (1.01 x 1.13 g / cm(2), p = 0.009) and TF (1.06 x 1.19 g / cm(2), p = 0.012), with no significant difference for muscle function. Metabolic profile was not worse in the O-LMM by the three MMIs. Conclusion: The MMI-weight identifies more O-LMM patients than the other MMI. The O-LMM diagnosed by MMI-weight had lower BMD in all sites and lower HG than O-NMM, possibly being a better IMM to diagnose SARC in obese patients. |
format | Online Article Text |
id | pubmed-6553452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Endocrine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-65534522019-06-13 SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery Carvalho, Nara Baccin, Vinícius Holanda, Narriane Filho, João Carvalho, Marta Silva, Gitana Pimenta, Flávia Alves, José J Endocr Soc Bone and Mineral Metabolism Sarcopenic obesity increases the risk of metabolic complications (MC), falls, fractures and even increased mortality. The identification of a low muscle mass (LMM) occurs through the muscle mass index (MMI). The height-adjusted MMI in the elderly is the most used for the diagnosis of sarcopenia (SARC). However, in the young obese subject there is data in the literature favoring the weight-adjusted MMI, due to a better identification of SARC and correlation with MC. Objective: To identify obese patients with low muscle mass (O-LMM) prior to bariatric surgery through three different MMIs regarding muscle function (hand grip (HG) and gait velocity (GV)), bone mineral density (BMD) and metabolic profile. Methods: The cross-sectional study, involving 59 obese women of a public hospital in Brazil, was conducted. The sample was divided into two groups according to the presence of O-LMM and obese patients with normal muscle mass (O-NMM) for each IMM. We considered O-LMM patients who were in the lowest quintile for each IMM and the patients who were in the other quintiles were considered as O-NMM. The body composition was evaluated by bio-impedance (inbody-370), multifrequency (5, 50, 250 HZ), with fasting of 12 hours and BMD by lunar densitometer prodigy advance. To estimate muscle mass, the following MMIs were used: height-adjusted MMI (MMI-height): appendicular muscle mass (AMM) / height(2); MMI adjusted for weight (MMI-weight): AMM / weight x 100 and MMI adjusted for body mass index (MMI-BMI): MMA / BMI. The HG was evaluated by jamar dynamometer (3 measurements with interval of 30 seconds between them) and the physical performance by the GV for 6 minutes. Fasting glycemia, HbA1c, HOMA-IR, insulin, total cholesterol, HDL, LDL, triglycerides and high sensitivity quantitative C-reactive protein were assessed. Results: The participants had a mean age of 39.53 ± 8,99 years, weight: 108.60 ± 13.86 kg and BMI: 42.6 ± 4.64 kg / m(2). O-LMM were identified at 30.5% (n = 18) by MMI-weight, and also at 20.33% by MMI-BMI and MMI-height. Patients in the lowest quintile for the MMI-weight had a lower HG (24.16 x 30.69 kg, p = 0.000), lower BMD in L1-L4 (1.17 x 1.27 g / cm(2), p = 0.001), in the femoral neck (FN) ( 1.04 x 1.14 g / cm(2), p = 0.012) and in the total femur (TF) (1.10 x 1.19 g / cm(2), p = 0.039), respectively, but without significant difference for GV. For MMI-BMI, O-LMM presented lower GV (0.93 x 1.06 m / s, p = 0.017) and HG (23.19 x 30.22 kg, p = 0.000), however without significant difference for BMD. The O-LMM identified by the MMI-height had lower BMD in FN (1.01 x 1.13 g / cm(2), p = 0.009) and TF (1.06 x 1.19 g / cm(2), p = 0.012), with no significant difference for muscle function. Metabolic profile was not worse in the O-LMM by the three MMIs. Conclusion: The MMI-weight identifies more O-LMM patients than the other MMI. The O-LMM diagnosed by MMI-weight had lower BMD in all sites and lower HG than O-NMM, possibly being a better IMM to diagnose SARC in obese patients. Endocrine Society 2019-04-30 /pmc/articles/PMC6553452/ http://dx.doi.org/10.1210/js.2019-SUN-542 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by-nc-nd/4.0/ This article has been published under the terms of the Creative Commons Attribution Non-Commercial, No-Derivatives License (CC BY-NC-ND; https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Bone and Mineral Metabolism Carvalho, Nara Baccin, Vinícius Holanda, Narriane Filho, João Carvalho, Marta Silva, Gitana Pimenta, Flávia Alves, José SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title | SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title_full | SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title_fullStr | SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title_full_unstemmed | SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title_short | SUN-542 Comparison of Different Muscle Mass Indices for Evaluation of Low Muscle Mass Regarding Muscle Function, Bone Mineral Density and Metabolic Profile in Obese Patients Prior to Bariatric Surgery |
title_sort | sun-542 comparison of different muscle mass indices for evaluation of low muscle mass regarding muscle function, bone mineral density and metabolic profile in obese patients prior to bariatric surgery |
topic | Bone and Mineral Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553452/ http://dx.doi.org/10.1210/js.2019-SUN-542 |
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