Refining dual-energy x-ray absorptiometry data to predict mortality among cirrhotic outpatients: A retrospective study
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808128191420694528 |