Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
Texto Completo: | https://periodicos.ufsc.br/index.php/rbcdh/article/view/78122 |
Resumo: | Our objective was to adjust and validate predictive equations for appendicular skeletal muscle mass (ASM) in patients with Rheumatoid Arthritis (RA). Whole-body DXA data in 90 RA patients was used for measurement of ASM (kg). The prediction equation anthropometric for muscle mass proposed by Lee et al was used to generate estimates of ASM. Appendicular skeletal muscle mass index (ASMI, kg/m2) was calculated. Frequency analysis, Paired student's t test, Linear regression, Pearson correlation, Intraclass correlation coefficients and Bland-Altman scatter were performed. The statistical significance considered was p<0.05. Lee’s equation overestimated in 30% the when compared with ASMI by DXA. When stratified by nutritional status, Lee’s equation overestimated the ASMI by 30% in overweight patients and by 50% in obese patients when compared with DXA (p<0.05). These adjusted equations estimated values for ASMI were closer to those obtained by DXA than those estimated by the original Lee’s equation (p<0.05). This greater concordance was confirmed by the observed interclass correlation coefficients and by Bland-Altman scatter graphs. In conclusion, the prediction of muscle mass in RA patients may be performed with equations that consider the nutritional status of patients. |
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Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological studyDesenvolvimento de novas equações ajustadas para estimativa da massa muscular esquelética estratificada pelo estado nutricional para pacientes com artrite reumatóide: um estudo metodológicoMemória de TrabalhoAtenção SeletivaAção VagalTênisOur objective was to adjust and validate predictive equations for appendicular skeletal muscle mass (ASM) in patients with Rheumatoid Arthritis (RA). Whole-body DXA data in 90 RA patients was used for measurement of ASM (kg). The prediction equation anthropometric for muscle mass proposed by Lee et al was used to generate estimates of ASM. Appendicular skeletal muscle mass index (ASMI, kg/m2) was calculated. Frequency analysis, Paired student's t test, Linear regression, Pearson correlation, Intraclass correlation coefficients and Bland-Altman scatter were performed. The statistical significance considered was p<0.05. Lee’s equation overestimated in 30% the when compared with ASMI by DXA. When stratified by nutritional status, Lee’s equation overestimated the ASMI by 30% in overweight patients and by 50% in obese patients when compared with DXA (p<0.05). These adjusted equations estimated values for ASMI were closer to those obtained by DXA than those estimated by the original Lee’s equation (p<0.05). This greater concordance was confirmed by the observed interclass correlation coefficients and by Bland-Altman scatter graphs. In conclusion, the prediction of muscle mass in RA patients may be performed with equations that consider the nutritional status of patients. Nosso objetivo foi ajustar e validar equações preditivas para massa muscular esquelética apendicular (ASM) em pacientes com Artrite Reumatoide (AR). Dados de DXA de corpo inteiro em 90 pacientes com AR foram usados para medição de ASM (kg). A equação de predição antropométrica de massa muscular proposta por Lee et al foi utilizada para gerar estimativas de ASM. Índice de massa muscular esquelética apendicular (ASMI, kg / m2) foi calculada. Análise de frequência, Teste t de Student pareado, Regressão linear, Correlação de Pearson, Coeficientes de correlação intraclasse e Dispersão de Bland-Altman foram realizados. A significância estatística considerada foi p<0,05. A equação de Lee superestimou em 30% quando comparada com a ASMI da DXA. Quando estratificada por estado nutricional, a equação de Lee superestimou o ASMI em 30% em pacientes com sobrepeso e em 50% em pacientes obesos em comparação com DXA (p<0,05). Esses valores estimados de equações ajustadas para ASMI foram mais próximos daqueles obtidos por DXA do que aqueles estimados pela equação de Lee original (p<0,05). Essa maior concordância foi confirmada pelos coeficientes de correlação interclasses observados e pelos gráficos de dispersão de Bland-Altman. Em conclusão, a predição da massa muscular em pacientes com AR pode ser realizada com equações que consideram o estado nutricional dos pacientes.Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil2021-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Avaliado por Pares",Avaliado por Paresapplication/pdfhttps://periodicos.ufsc.br/index.php/rbcdh/article/view/7812210.1590/1980-0037.2021v23e78122Brazilian Journal of Kinanthropometry and Human Performance; Vol. 23 (2021); e78122Revista Brasileira de Cineantropometria e Desempenho Humano; v. 23 (2021); e781221980-00371415-8426reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCenghttps://periodicos.ufsc.br/index.php/rbcdh/article/view/78122/47957Copyright (c) 2021 Revista Brasileira de Cineantropometria e Desempenho Humanoinfo:eu-repo/semantics/openAccessCavalheiro do Espírito Santo, RafaelaIsabel Filippin, LidianeLora, Priscila Schimidt Machado Xavier, Ricardo2021-03-10T13:31:04Zoai:periodicos.ufsc.br:article/78122Revistahttps://periodicos.ufsc.br/index.php/rbcdh/PUBhttps://periodicos.ufsc.br/index.php/rbcdh/oairbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br1980-00371415-8426opendoar:2021-03-10T13:31:04Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study Desenvolvimento de novas equações ajustadas para estimativa da massa muscular esquelética estratificada pelo estado nutricional para pacientes com artrite reumatóide: um estudo metodológico |
title |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
spellingShingle |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study Cavalheiro do Espírito Santo, Rafaela Memória de Trabalho Atenção Seletiva Ação Vagal Tênis |
title_short |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
title_full |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
title_fullStr |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
title_full_unstemmed |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
title_sort |
Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study |
author |
Cavalheiro do Espírito Santo, Rafaela |
author_facet |
Cavalheiro do Espírito Santo, Rafaela Isabel Filippin, Lidiane Lora, Priscila Schimidt Machado Xavier, Ricardo |
author_role |
author |
author2 |
Isabel Filippin, Lidiane Lora, Priscila Schimidt Machado Xavier, Ricardo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cavalheiro do Espírito Santo, Rafaela Isabel Filippin, Lidiane Lora, Priscila Schimidt Machado Xavier, Ricardo |
dc.subject.por.fl_str_mv |
Memória de Trabalho Atenção Seletiva Ação Vagal Tênis |
topic |
Memória de Trabalho Atenção Seletiva Ação Vagal Tênis |
description |
Our objective was to adjust and validate predictive equations for appendicular skeletal muscle mass (ASM) in patients with Rheumatoid Arthritis (RA). Whole-body DXA data in 90 RA patients was used for measurement of ASM (kg). The prediction equation anthropometric for muscle mass proposed by Lee et al was used to generate estimates of ASM. Appendicular skeletal muscle mass index (ASMI, kg/m2) was calculated. Frequency analysis, Paired student's t test, Linear regression, Pearson correlation, Intraclass correlation coefficients and Bland-Altman scatter were performed. The statistical significance considered was p<0.05. Lee’s equation overestimated in 30% the when compared with ASMI by DXA. When stratified by nutritional status, Lee’s equation overestimated the ASMI by 30% in overweight patients and by 50% in obese patients when compared with DXA (p<0.05). These adjusted equations estimated values for ASMI were closer to those obtained by DXA than those estimated by the original Lee’s equation (p<0.05). This greater concordance was confirmed by the observed interclass correlation coefficients and by Bland-Altman scatter graphs. In conclusion, the prediction of muscle mass in RA patients may be performed with equations that consider the nutritional status of patients. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-09 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion "Avaliado por Pares", Avaliado por Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/78122 10.1590/1980-0037.2021v23e78122 |
url |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/78122 |
identifier_str_mv |
10.1590/1980-0037.2021v23e78122 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/78122/47957 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Brasileira de Cineantropometria e Desempenho Humano info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Brasileira de Cineantropometria e Desempenho Humano |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
dc.source.none.fl_str_mv |
Brazilian Journal of Kinanthropometry and Human Performance; Vol. 23 (2021); e78122 Revista Brasileira de Cineantropometria e Desempenho Humano; v. 23 (2021); e78122 1980-0037 1415-8426 reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
collection |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
rbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br |
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1789435126072999936 |