Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://dx.doi.org/10.1111/jhn.12468 http://www.locus.ufv.br/handle/123456789/14639 |
Resumo: | The present study aimed to evaluate the nutritional status of patients undergoing haemodialysis (HD) by comparing nutritional risk scores with biochemical, anthropometric and body composition variables. Eighty-five individuals [65.9% male, mean (SD) age 62 (14) years] participated in a cross-sectional study. Global Objective Assessment (GOA) and Modified Global Subjective Assessment (mGSA) scores, as well as biochemical, anthropometric and body composition data, were collected using standardised procedures. The prevalence of malnutrition ranged from 20.0% (% body fat by electrical bioimpedance) to 95.3% (by GOA), depending on the indicator or score used. According to the waist circumference, 61.2% of the individuals presented abdominal obesity and visceral adipose tissue was excessive in 20% of them. Malnutrition diagnosis by GOA showed the relationship between the anthropometric and body composition indicators, as assessed by the extent that the ratings of risk nutritional/mild malnutrition and mainly moderate malnutrition were accompanied by a significant decrease in nutritional status and body composition variables. However, with respect to categories of mGSA, no statistically significant differences were observed for nutritional status and body composition variables. In the receiver operator characteristic curve analyses, mGSA and GOA were good indicators for diagnosing malnutrition because both achieved an AUC > 0.5. mGSA and GOA were more sensitive with respect to identifying individuals at nutritional risk compared to the isolated anthropometric indicators, thus indicating their utility in diagnostic malnutrition. However, individuals at high nutritional risk also presented cardiometabolic risk, as diagnosed mainly by central fat indicators, suggesting the application of both malnutrition and cardiometabolic risk markers in HD patients. |
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Balbino, K. P.Epifânio, A. P. S.Ribeiro, S. M. R.Silva, L. D. M. daGouvea, M. G.Hermsdorff, H. H. M.2017-12-08T09:29:29Z2017-12-08T09:29:29Z2017-03-221365-277Xhttp://dx.doi.org/10.1111/jhn.12468http://www.locus.ufv.br/handle/123456789/14639The present study aimed to evaluate the nutritional status of patients undergoing haemodialysis (HD) by comparing nutritional risk scores with biochemical, anthropometric and body composition variables. Eighty-five individuals [65.9% male, mean (SD) age 62 (14) years] participated in a cross-sectional study. Global Objective Assessment (GOA) and Modified Global Subjective Assessment (mGSA) scores, as well as biochemical, anthropometric and body composition data, were collected using standardised procedures. The prevalence of malnutrition ranged from 20.0% (% body fat by electrical bioimpedance) to 95.3% (by GOA), depending on the indicator or score used. According to the waist circumference, 61.2% of the individuals presented abdominal obesity and visceral adipose tissue was excessive in 20% of them. Malnutrition diagnosis by GOA showed the relationship between the anthropometric and body composition indicators, as assessed by the extent that the ratings of risk nutritional/mild malnutrition and mainly moderate malnutrition were accompanied by a significant decrease in nutritional status and body composition variables. However, with respect to categories of mGSA, no statistically significant differences were observed for nutritional status and body composition variables. In the receiver operator characteristic curve analyses, mGSA and GOA were good indicators for diagnosing malnutrition because both achieved an AUC > 0.5. mGSA and GOA were more sensitive with respect to identifying individuals at nutritional risk compared to the isolated anthropometric indicators, thus indicating their utility in diagnostic malnutrition. However, individuals at high nutritional risk also presented cardiometabolic risk, as diagnosed mainly by central fat indicators, suggesting the application of both malnutrition and cardiometabolic risk markers in HD patients.engJournal of Human Nutrition and Dietetics30(5), p. 646-654, Oct. 2017Cardiometabolic riskChronic kidney diseaseMalnutritionModified global subjective assessmentObjective global assessmentROC curveComparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patientsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALBalbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdfBalbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdftexto completoapplication/pdf227846https://locus.ufv.br//bitstream/123456789/14639/1/Balbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdfa20e710c9ed6e13da4ad75f1d2e98441MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/14639/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILBalbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdf.jpgBalbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdf.jpgIM Thumbnailimage/jpeg5066https://locus.ufv.br//bitstream/123456789/14639/3/Balbino_et_al-2017-Journal_of_Human_Nutrition_and_Dietetics.pdf.jpgb4e1625facc6471b218a54f71e5aada3MD53123456789/146392017-12-08 22:00:27.98oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452017-12-09T01:00:27LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
title |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
spellingShingle |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients Balbino, K. P. Cardiometabolic risk Chronic kidney disease Malnutrition Modified global subjective assessment Objective global assessment ROC curve |
title_short |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
title_full |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
title_fullStr |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
title_full_unstemmed |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
title_sort |
Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients |
author |
Balbino, K. P. |
author_facet |
Balbino, K. P. Epifânio, A. P. S. Ribeiro, S. M. R. Silva, L. D. M. da Gouvea, M. G. Hermsdorff, H. H. M. |
author_role |
author |
author2 |
Epifânio, A. P. S. Ribeiro, S. M. R. Silva, L. D. M. da Gouvea, M. G. Hermsdorff, H. H. M. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Balbino, K. P. Epifânio, A. P. S. Ribeiro, S. M. R. Silva, L. D. M. da Gouvea, M. G. Hermsdorff, H. H. M. |
dc.subject.pt-BR.fl_str_mv |
Cardiometabolic risk Chronic kidney disease Malnutrition Modified global subjective assessment Objective global assessment ROC curve |
topic |
Cardiometabolic risk Chronic kidney disease Malnutrition Modified global subjective assessment Objective global assessment ROC curve |
description |
The present study aimed to evaluate the nutritional status of patients undergoing haemodialysis (HD) by comparing nutritional risk scores with biochemical, anthropometric and body composition variables. Eighty-five individuals [65.9% male, mean (SD) age 62 (14) years] participated in a cross-sectional study. Global Objective Assessment (GOA) and Modified Global Subjective Assessment (mGSA) scores, as well as biochemical, anthropometric and body composition data, were collected using standardised procedures. The prevalence of malnutrition ranged from 20.0% (% body fat by electrical bioimpedance) to 95.3% (by GOA), depending on the indicator or score used. According to the waist circumference, 61.2% of the individuals presented abdominal obesity and visceral adipose tissue was excessive in 20% of them. Malnutrition diagnosis by GOA showed the relationship between the anthropometric and body composition indicators, as assessed by the extent that the ratings of risk nutritional/mild malnutrition and mainly moderate malnutrition were accompanied by a significant decrease in nutritional status and body composition variables. However, with respect to categories of mGSA, no statistically significant differences were observed for nutritional status and body composition variables. In the receiver operator characteristic curve analyses, mGSA and GOA were good indicators for diagnosing malnutrition because both achieved an AUC > 0.5. mGSA and GOA were more sensitive with respect to identifying individuals at nutritional risk compared to the isolated anthropometric indicators, thus indicating their utility in diagnostic malnutrition. However, individuals at high nutritional risk also presented cardiometabolic risk, as diagnosed mainly by central fat indicators, suggesting the application of both malnutrition and cardiometabolic risk markers in HD patients. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-12-08T09:29:29Z |
dc.date.available.fl_str_mv |
2017-12-08T09:29:29Z |
dc.date.issued.fl_str_mv |
2017-03-22 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/jhn.12468 http://www.locus.ufv.br/handle/123456789/14639 |
dc.identifier.issn.none.fl_str_mv |
1365-277X |
identifier_str_mv |
1365-277X |
url |
http://dx.doi.org/10.1111/jhn.12468 http://www.locus.ufv.br/handle/123456789/14639 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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30(5), p. 646-654, Oct. 2017 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Journal of Human Nutrition and Dietetics |
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Journal of Human Nutrition and Dietetics |
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