Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients?
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | http://dx.doi.org/10.1093/ndt/gfq452 http://repositorio.unifesp.br/handle/11600/33391 |
Resumo: | Background. the determination of resting energy expenditure (REE) is the primary step for estimating the energy requirement of an individual. Although numerous equations have been formulated for predicting metabolic rates, there is a lack of studies addressing the reliability of those equations in chronic kidney disease (CKD). Thus, the aim of this study was to evaluate whether the main equations developed for estimating REE can be reliably applied for CKD patients.Methods. A total of 281 CKD patients (124 non-dialysis, 99 haemodialysis and 58 peritoneal dialysis) and 81 healthy control individuals were recruited. Indirect calorimetry and blood sample collection were performed after a 12-h fasting. Two most traditionally used equations for estimating REE were chosen for comparison with the REE measured by indirect calorimetry: (i) the equation proposed by Harris and Benedict, and (ii) the equation proposed by Schofield that is currently recommended by the FAO/WHO/UNU.Results. Schofield's equation exhibited higher REE [1492 +/- 220 kcal/day (mean +/- SD)] in relation to Harris and Benedict's equation (1431 +/- 214 kcal/day; P < 0.001), and both prediction equations showed higher REE in comparison with the reference indirect calorimetry (1352 +/- 252 kcal/day; P < 0.001). in patients with diabetes, inflammation or severe hyperparathyroidism, the REE estimated by the Harris and Benedict equation was equivalent to that measured by indirect calorimetry. the intraclass correlation of the REE measured by indirect calorimetry with the Schofield's equation was r = 0.48 (P < 0.001) and with the Harris and Benedict's equation was r = 0.58 (P < 0.001). According to the Bland and Altman analysis, there was a large limit of agreement between both prediction equations and the reference method. Acceptable prediction of REE (90-110% adequacy) was found in 47% of the patients by using the Harris and Benedict's equation and in only 37% by using the Schofield's equation.Conclusions. the most traditionally used prediction equations overestimated the REE of CKD patients, and the errors were minimized in the presence of comorbidities. There is a need to develop population-specific equations in order to adequately estimate the energy requirement of these patients. |
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Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients?chronic kidney diseaseenergy requirementindirect calorimetryprediction equationsresting energy expenditureBackground. the determination of resting energy expenditure (REE) is the primary step for estimating the energy requirement of an individual. Although numerous equations have been formulated for predicting metabolic rates, there is a lack of studies addressing the reliability of those equations in chronic kidney disease (CKD). Thus, the aim of this study was to evaluate whether the main equations developed for estimating REE can be reliably applied for CKD patients.Methods. A total of 281 CKD patients (124 non-dialysis, 99 haemodialysis and 58 peritoneal dialysis) and 81 healthy control individuals were recruited. Indirect calorimetry and blood sample collection were performed after a 12-h fasting. Two most traditionally used equations for estimating REE were chosen for comparison with the REE measured by indirect calorimetry: (i) the equation proposed by Harris and Benedict, and (ii) the equation proposed by Schofield that is currently recommended by the FAO/WHO/UNU.Results. Schofield's equation exhibited higher REE [1492 +/- 220 kcal/day (mean +/- SD)] in relation to Harris and Benedict's equation (1431 +/- 214 kcal/day; P < 0.001), and both prediction equations showed higher REE in comparison with the reference indirect calorimetry (1352 +/- 252 kcal/day; P < 0.001). in patients with diabetes, inflammation or severe hyperparathyroidism, the REE estimated by the Harris and Benedict equation was equivalent to that measured by indirect calorimetry. the intraclass correlation of the REE measured by indirect calorimetry with the Schofield's equation was r = 0.48 (P < 0.001) and with the Harris and Benedict's equation was r = 0.58 (P < 0.001). According to the Bland and Altman analysis, there was a large limit of agreement between both prediction equations and the reference method. Acceptable prediction of REE (90-110% adequacy) was found in 47% of the patients by using the Harris and Benedict's equation and in only 37% by using the Schofield's equation.Conclusions. the most traditionally used prediction equations overestimated the REE of CKD patients, and the errors were minimized in the presence of comorbidities. There is a need to develop population-specific equations in order to adequately estimate the energy requirement of these patients.Universidade Federal de São Paulo, Nutr Program, São Paulo, BrazilUniversidade Federal de São Paulo, Div Nephrol, São Paulo, BrazilUniv Estado Rio de Janeiro, Inst Nutr, Rio de Janeiro, BrazilUniversidade Federal de São Paulo, Nutr Program, São Paulo, BrazilUniversidade Federal de São Paulo, Div Nephrol, São Paulo, BrazilWeb of ScienceFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Oswaldo Ramos FoundationOxford Univ PressUniversidade Federal de São Paulo (UNIFESP)Universidade do Estado do Rio de Janeiro (UERJ)Kamimura, Maria Ayako [UNIFESP]Avesani, Carla Maria [UNIFESP]Bazanelli, Ana Paula [UNIFESP]Baria, Flavia [UNIFESP]Draibe, Sergio Antonio [UNIFESP]Cuppari, Lilian [UNIFESP]2016-01-24T14:06:06Z2016-01-24T14:06:06Z2011-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion544-550http://dx.doi.org/10.1093/ndt/gfq452Nephrology Dialysis Transplantation. Oxford: Oxford Univ Press, v. 26, n. 2, p. 544-550, 2011.10.1093/ndt/gfq4520931-0509http://repositorio.unifesp.br/handle/11600/33391WOS:000286675400022engNephrology Dialysis Transplantationinfo:eu-repo/semantics/openAccesshttp://www.oxfordjournals.org/access_purchase/self-archiving_policyb.htmlreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2023-05-18T14:42:42Zoai:repositorio.unifesp.br/:11600/33391Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652023-05-18T14:42:42Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
title |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
spellingShingle |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? Kamimura, Maria Ayako [UNIFESP] chronic kidney disease energy requirement indirect calorimetry prediction equations resting energy expenditure |
title_short |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
title_full |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
title_fullStr |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
title_full_unstemmed |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
title_sort |
Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients? |
author |
Kamimura, Maria Ayako [UNIFESP] |
author_facet |
Kamimura, Maria Ayako [UNIFESP] Avesani, Carla Maria [UNIFESP] Bazanelli, Ana Paula [UNIFESP] Baria, Flavia [UNIFESP] Draibe, Sergio Antonio [UNIFESP] Cuppari, Lilian [UNIFESP] |
author_role |
author |
author2 |
Avesani, Carla Maria [UNIFESP] Bazanelli, Ana Paula [UNIFESP] Baria, Flavia [UNIFESP] Draibe, Sergio Antonio [UNIFESP] Cuppari, Lilian [UNIFESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de São Paulo (UNIFESP) Universidade do Estado do Rio de Janeiro (UERJ) |
dc.contributor.author.fl_str_mv |
Kamimura, Maria Ayako [UNIFESP] Avesani, Carla Maria [UNIFESP] Bazanelli, Ana Paula [UNIFESP] Baria, Flavia [UNIFESP] Draibe, Sergio Antonio [UNIFESP] Cuppari, Lilian [UNIFESP] |
dc.subject.por.fl_str_mv |
chronic kidney disease energy requirement indirect calorimetry prediction equations resting energy expenditure |
topic |
chronic kidney disease energy requirement indirect calorimetry prediction equations resting energy expenditure |
description |
Background. the determination of resting energy expenditure (REE) is the primary step for estimating the energy requirement of an individual. Although numerous equations have been formulated for predicting metabolic rates, there is a lack of studies addressing the reliability of those equations in chronic kidney disease (CKD). Thus, the aim of this study was to evaluate whether the main equations developed for estimating REE can be reliably applied for CKD patients.Methods. A total of 281 CKD patients (124 non-dialysis, 99 haemodialysis and 58 peritoneal dialysis) and 81 healthy control individuals were recruited. Indirect calorimetry and blood sample collection were performed after a 12-h fasting. Two most traditionally used equations for estimating REE were chosen for comparison with the REE measured by indirect calorimetry: (i) the equation proposed by Harris and Benedict, and (ii) the equation proposed by Schofield that is currently recommended by the FAO/WHO/UNU.Results. Schofield's equation exhibited higher REE [1492 +/- 220 kcal/day (mean +/- SD)] in relation to Harris and Benedict's equation (1431 +/- 214 kcal/day; P < 0.001), and both prediction equations showed higher REE in comparison with the reference indirect calorimetry (1352 +/- 252 kcal/day; P < 0.001). in patients with diabetes, inflammation or severe hyperparathyroidism, the REE estimated by the Harris and Benedict equation was equivalent to that measured by indirect calorimetry. the intraclass correlation of the REE measured by indirect calorimetry with the Schofield's equation was r = 0.48 (P < 0.001) and with the Harris and Benedict's equation was r = 0.58 (P < 0.001). According to the Bland and Altman analysis, there was a large limit of agreement between both prediction equations and the reference method. Acceptable prediction of REE (90-110% adequacy) was found in 47% of the patients by using the Harris and Benedict's equation and in only 37% by using the Schofield's equation.Conclusions. the most traditionally used prediction equations overestimated the REE of CKD patients, and the errors were minimized in the presence of comorbidities. There is a need to develop population-specific equations in order to adequately estimate the energy requirement of these patients. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-02-01 2016-01-24T14:06:06Z 2016-01-24T14:06:06Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1093/ndt/gfq452 Nephrology Dialysis Transplantation. Oxford: Oxford Univ Press, v. 26, n. 2, p. 544-550, 2011. 10.1093/ndt/gfq452 0931-0509 http://repositorio.unifesp.br/handle/11600/33391 WOS:000286675400022 |
url |
http://dx.doi.org/10.1093/ndt/gfq452 http://repositorio.unifesp.br/handle/11600/33391 |
identifier_str_mv |
Nephrology Dialysis Transplantation. Oxford: Oxford Univ Press, v. 26, n. 2, p. 544-550, 2011. 10.1093/ndt/gfq452 0931-0509 WOS:000286675400022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Nephrology Dialysis Transplantation |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess http://www.oxfordjournals.org/access_purchase/self-archiving_policyb.html |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://www.oxfordjournals.org/access_purchase/self-archiving_policyb.html |
dc.format.none.fl_str_mv |
544-550 |
dc.publisher.none.fl_str_mv |
Oxford Univ Press |
publisher.none.fl_str_mv |
Oxford Univ Press |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
instname_str |
Universidade Federal de São Paulo (UNIFESP) |
instacron_str |
UNIFESP |
institution |
UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
collection |
Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
biblioteca.csp@unifesp.br |
_version_ |
1814268347977564160 |