Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study

Detalhes bibliográficos
Autor(a) principal: Amaral Santos, Livia Alves [UNESP]
Data de Publicação: 2021
Outros Autores: Lima, Talles Bazeia [UNESP], Qi, Xingshun, Rupp de Paiva, Sergio Alberto [UNESP], Romeiro, Fernando Gomes [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.nut.2020.111132
http://hdl.handle.net/11449/210221
Resumo: Objective: The aim of this study was to compare the effects of muscle wasting according to measures obtained by different limb muscle mass indexes, to find the best mortality predictor among outpatients with cirrhosis. Methods: Patients with liver cirrhosis (N = 210) were submitted to dual-energy x-ray absorptiometry (DXA). Appendicular muscle mass (AMM), AMM index (AMMI), upper limb muscle mass (ULMM), and ULMM index (ULMMI) were calculated. The Model for End-Stage Liver Disease, anthropometric measures, and the presence of ascites and edema were also registered. Multiple logistic regressions were performed to determine mortality predictors; the area under the receiver operating characteristic curve was used to establish the best cutoff point to predict mortality. Results: The mean follow-up duration was 49 & sect; 15.59 mo. ULMM and ULMMI were clearly associated with mortality (P = 0.007 and 0.001, respectively), whereas AMM and AMMI were not. After calculating the cutoff points for men and women, the presence of a depleted ULMMI as a categorical variable was associated with a mortality risk 2.5 times higher. Conclusions: The results suggest that using ULMMI is better than AMMI for predicting mortality of outpatients with cirrhosis, thus offering a better measure to detect muscle wasting in this population using DXA. (c) 2020 Elsevier Inc. All rights reserved.
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spelling Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective studyLiver cirrhosisSarcopeniaDual-energy x-ray absorptiometryMortalityEdemaAscitesObjective: The aim of this study was to compare the effects of muscle wasting according to measures obtained by different limb muscle mass indexes, to find the best mortality predictor among outpatients with cirrhosis. Methods: Patients with liver cirrhosis (N = 210) were submitted to dual-energy x-ray absorptiometry (DXA). Appendicular muscle mass (AMM), AMM index (AMMI), upper limb muscle mass (ULMM), and ULMM index (ULMMI) were calculated. The Model for End-Stage Liver Disease, anthropometric measures, and the presence of ascites and edema were also registered. Multiple logistic regressions were performed to determine mortality predictors; the area under the receiver operating characteristic curve was used to establish the best cutoff point to predict mortality. Results: The mean follow-up duration was 49 & sect; 15.59 mo. ULMM and ULMMI were clearly associated with mortality (P = 0.007 and 0.001, respectively), whereas AMM and AMMI were not. After calculating the cutoff points for men and women, the presence of a depleted ULMMI as a categorical variable was associated with a mortality risk 2.5 times higher. Conclusions: The results suggest that using ULMMI is better than AMMI for predicting mortality of outpatients with cirrhosis, thus offering a better measure to detect muscle wasting in this population using DXA. (c) 2020 Elsevier Inc. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Fac Med Botucatu, Dept Internal Med, Gastroenterol Div, Sao Paulo, BrazilGen Hosp Northern Theater Command, Dept Gastroenterol, Gen Hosp Shenyang Mil Area, Shenyang, Peoples R ChinaUniv Estadual Paulista, Fac Med Botucatu, Dept Internal Med, Nutrol Div, Sao Paulo, BrazilUniv Estadual Paulista, Fac Med Botucatu, Dept Internal Med, Gastroenterol Div, Sao Paulo, BrazilUniv Estadual Paulista, Fac Med Botucatu, Dept Internal Med, Nutrol Div, Sao Paulo, BrazilFAPESP: 2014/22572-9FAPESP: 2017/25592-9Elsevier B.V.Universidade Estadual Paulista (Unesp)Gen Hosp Northern Theater CommandAmaral Santos, Livia Alves [UNESP]Lima, Talles Bazeia [UNESP]Qi, XingshunRupp de Paiva, Sergio Alberto [UNESP]Romeiro, Fernando Gomes [UNESP]2021-06-25T15:01:47Z2021-06-25T15:01:47Z2021-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article5http://dx.doi.org/10.1016/j.nut.2020.111132Nutrition. New York: Elsevier Science Inc, v. 85, 5 p., 2021.0899-9007http://hdl.handle.net/11449/21022110.1016/j.nut.2020.111132WOS:000639097600006Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNutritioninfo:eu-repo/semantics/openAccess2024-08-14T17:36:31Zoai:repositorio.unesp.br:11449/210221Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-14T17:36:31Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
title Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
spellingShingle Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
Amaral Santos, Livia Alves [UNESP]
Liver cirrhosis
Sarcopenia
Dual-energy x-ray absorptiometry
Mortality
Edema
Ascites
title_short Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
title_full Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
title_fullStr Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
title_full_unstemmed Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
title_sort Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
author Amaral Santos, Livia Alves [UNESP]
author_facet Amaral Santos, Livia Alves [UNESP]
Lima, Talles Bazeia [UNESP]
Qi, Xingshun
Rupp de Paiva, Sergio Alberto [UNESP]
Romeiro, Fernando Gomes [UNESP]
author_role author
author2 Lima, Talles Bazeia [UNESP]
Qi, Xingshun
Rupp de Paiva, Sergio Alberto [UNESP]
Romeiro, Fernando Gomes [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Gen Hosp Northern Theater Command
dc.contributor.author.fl_str_mv Amaral Santos, Livia Alves [UNESP]
Lima, Talles Bazeia [UNESP]
Qi, Xingshun
Rupp de Paiva, Sergio Alberto [UNESP]
Romeiro, Fernando Gomes [UNESP]
dc.subject.por.fl_str_mv Liver cirrhosis
Sarcopenia
Dual-energy x-ray absorptiometry
Mortality
Edema
Ascites
topic Liver cirrhosis
Sarcopenia
Dual-energy x-ray absorptiometry
Mortality
Edema
Ascites
description Objective: The aim of this study was to compare the effects of muscle wasting according to measures obtained by different limb muscle mass indexes, to find the best mortality predictor among outpatients with cirrhosis. Methods: Patients with liver cirrhosis (N = 210) were submitted to dual-energy x-ray absorptiometry (DXA). Appendicular muscle mass (AMM), AMM index (AMMI), upper limb muscle mass (ULMM), and ULMM index (ULMMI) were calculated. The Model for End-Stage Liver Disease, anthropometric measures, and the presence of ascites and edema were also registered. Multiple logistic regressions were performed to determine mortality predictors; the area under the receiver operating characteristic curve was used to establish the best cutoff point to predict mortality. Results: The mean follow-up duration was 49 & sect; 15.59 mo. ULMM and ULMMI were clearly associated with mortality (P = 0.007 and 0.001, respectively), whereas AMM and AMMI were not. After calculating the cutoff points for men and women, the presence of a depleted ULMMI as a categorical variable was associated with a mortality risk 2.5 times higher. Conclusions: The results suggest that using ULMMI is better than AMMI for predicting mortality of outpatients with cirrhosis, thus offering a better measure to detect muscle wasting in this population using DXA. (c) 2020 Elsevier Inc. All rights reserved.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T15:01:47Z
2021-06-25T15:01:47Z
2021-05-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.nut.2020.111132
Nutrition. New York: Elsevier Science Inc, v. 85, 5 p., 2021.
0899-9007
http://hdl.handle.net/11449/210221
10.1016/j.nut.2020.111132
WOS:000639097600006
url http://dx.doi.org/10.1016/j.nut.2020.111132
http://hdl.handle.net/11449/210221
identifier_str_mv Nutrition. New York: Elsevier Science Inc, v. 85, 5 p., 2021.
0899-9007
10.1016/j.nut.2020.111132
WOS:000639097600006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nutrition
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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