Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients

Detalhes bibliográficos
Autor(a) principal: Serpa Neto,Ary
Data de Publicação: 2011
Outros Autores: Rossi,Felipe Martin Bianco, Amarante,Rodrigo Dal Moro, Rossi,Marçal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Einstein (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082011000300294
Resumo: ABSTRACT Objective: Considering that the Cockcroft-Gault formula and the equation of diet modification in renal disease are amply used in clinical practice to estimate the glomerular filtration rate, although they seem to have low accuracy in obese patients, the present study intends to evaluate the predictive performance of 12 equations used to estimate the glomerular filtration rate in obese patients. Methods: This is a cross-sectional retrospective study, conducted between 2007 and 2008 and carried out at a university, of 140 patients with severe obesity (mean body mass index 44 ± 4.4 kg/m2). The glomerular filtration rate was determined by means of 24-hour urine samples. Patients were classified into one or more of the four subgroups: impaired glucose tolerance (n = 43), diabetic (n = 24), metabolic syndrome (n = 76), and/or hypertension (n = 66). We used bias, precision, and accuracy to assess the predictive performance of each equation in the entire group and in the subgroups. Results: In renal disease, Cockcroft-Gault's formula and the diet modification equation are not precise in severely obese patients (precision: 40.9 and 33.4, respectively). Sobh's equation showed no bias in the general group or in two subgroups. Salazar-Corcoran's and Sobh's equations showed no bias for the entire group (Bias: −5.2, 95% confidence interval (CI) = −11.4, 1.0, and 6. 2; 95%CI = −0.3, 12.7, respectively). All the other equations were imprecise for the entire group. Conclusion: Of the equations studied, those of Sobh and Salazar-Corcoran seem to be the best for estimating the glomerular filtration rate in severely obese patients analyzed in our study.
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spelling Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patientsGlomerular filtration rateObesityKidneyCreatinineWeight lossABSTRACT Objective: Considering that the Cockcroft-Gault formula and the equation of diet modification in renal disease are amply used in clinical practice to estimate the glomerular filtration rate, although they seem to have low accuracy in obese patients, the present study intends to evaluate the predictive performance of 12 equations used to estimate the glomerular filtration rate in obese patients. Methods: This is a cross-sectional retrospective study, conducted between 2007 and 2008 and carried out at a university, of 140 patients with severe obesity (mean body mass index 44 ± 4.4 kg/m2). The glomerular filtration rate was determined by means of 24-hour urine samples. Patients were classified into one or more of the four subgroups: impaired glucose tolerance (n = 43), diabetic (n = 24), metabolic syndrome (n = 76), and/or hypertension (n = 66). We used bias, precision, and accuracy to assess the predictive performance of each equation in the entire group and in the subgroups. Results: In renal disease, Cockcroft-Gault's formula and the diet modification equation are not precise in severely obese patients (precision: 40.9 and 33.4, respectively). Sobh's equation showed no bias in the general group or in two subgroups. Salazar-Corcoran's and Sobh's equations showed no bias for the entire group (Bias: −5.2, 95% confidence interval (CI) = −11.4, 1.0, and 6. 2; 95%CI = −0.3, 12.7, respectively). All the other equations were imprecise for the entire group. Conclusion: Of the equations studied, those of Sobh and Salazar-Corcoran seem to be the best for estimating the glomerular filtration rate in severely obese patients analyzed in our study.Instituto Israelita de Ensino e Pesquisa Albert Einstein2011-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082011000300294einstein (São Paulo) v.9 n.3 2011reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.1590/s1679-45082011ao1922info:eu-repo/semantics/openAccessSerpa Neto,AryRossi,Felipe Martin BiancoAmarante,Rodrigo Dal MoroRossi,Marçaleng2017-03-10T00:00:00Zoai:scielo:S1679-45082011000300294Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2017-03-10T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false
dc.title.none.fl_str_mv Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
title Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
spellingShingle Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
Serpa Neto,Ary
Glomerular filtration rate
Obesity
Kidney
Creatinine
Weight loss
title_short Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
title_full Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
title_fullStr Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
title_full_unstemmed Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
title_sort Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
author Serpa Neto,Ary
author_facet Serpa Neto,Ary
Rossi,Felipe Martin Bianco
Amarante,Rodrigo Dal Moro
Rossi,Marçal
author_role author
author2 Rossi,Felipe Martin Bianco
Amarante,Rodrigo Dal Moro
Rossi,Marçal
author2_role author
author
author
dc.contributor.author.fl_str_mv Serpa Neto,Ary
Rossi,Felipe Martin Bianco
Amarante,Rodrigo Dal Moro
Rossi,Marçal
dc.subject.por.fl_str_mv Glomerular filtration rate
Obesity
Kidney
Creatinine
Weight loss
topic Glomerular filtration rate
Obesity
Kidney
Creatinine
Weight loss
description ABSTRACT Objective: Considering that the Cockcroft-Gault formula and the equation of diet modification in renal disease are amply used in clinical practice to estimate the glomerular filtration rate, although they seem to have low accuracy in obese patients, the present study intends to evaluate the predictive performance of 12 equations used to estimate the glomerular filtration rate in obese patients. Methods: This is a cross-sectional retrospective study, conducted between 2007 and 2008 and carried out at a university, of 140 patients with severe obesity (mean body mass index 44 ± 4.4 kg/m2). The glomerular filtration rate was determined by means of 24-hour urine samples. Patients were classified into one or more of the four subgroups: impaired glucose tolerance (n = 43), diabetic (n = 24), metabolic syndrome (n = 76), and/or hypertension (n = 66). We used bias, precision, and accuracy to assess the predictive performance of each equation in the entire group and in the subgroups. Results: In renal disease, Cockcroft-Gault's formula and the diet modification equation are not precise in severely obese patients (precision: 40.9 and 33.4, respectively). Sobh's equation showed no bias in the general group or in two subgroups. Salazar-Corcoran's and Sobh's equations showed no bias for the entire group (Bias: −5.2, 95% confidence interval (CI) = −11.4, 1.0, and 6. 2; 95%CI = −0.3, 12.7, respectively). All the other equations were imprecise for the entire group. Conclusion: Of the equations studied, those of Sobh and Salazar-Corcoran seem to be the best for estimating the glomerular filtration rate in severely obese patients analyzed in our study.
publishDate 2011
dc.date.none.fl_str_mv 2011-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/s1679-45082011ao1922
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dc.publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
dc.source.none.fl_str_mv einstein (São Paulo) v.9 n.3 2011
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instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
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reponame_str Einstein (São Paulo)
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