Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | https://doi.org/10.1590/2359-3997000000151 http://hdl.handle.net/1843/59037 |
Resumo: | Objective: Several formulas based in different biomarkers may be used to estimate glomerular filtration rate (GRF). However, all of them have some limitations, and it is very important to evaluate their performances in different groups of patients. Therefore, we compared GFR, as estimated by creatinine-based and cystatin C-based equations, according to albuminuria, in type 1 diabetes (T1DM), in an observational case-control study. Subjects and methods: T1DM patients were classified according to albuminuria: normoalbuminuric (n = 63), microalbuminuric (n = 30), macroalbuminuric (n = 32). GFR was calculated using creatinine-based and cystatin C-based (aMDRD, CKD-EPIcr, CKD-EPIcys, MacIsaac, Tan and CKD-EPIcrcys) equations. Spearman Correlation was used to evaluate the correlation of GFR estimated by the formulas with albuminuria. ROC curves were constructed to compare AUCs of GFR estimated by equations, in reference to macroalbuminuria. Sensibility, specificity and accuracy were calculated for a cut-off < 60 mL/min/1.73 m2. Results: GFR estimated by creatinine-based and cystatin C-based equations significantly differed among normoalbuminuric, microalbuminuric and macroalbuminuric patients. Spearman correlation and AUCs of GFR estimated by creatinine-based and cystatin C-based formulas were very similar to each other, though cystatin C-based equations presented better correlation with albuminuria and higher AUCs than the creatinine-based ones, and the best accuracy to detect macroalbuminuric patients. Conclusion: Although GFR estimated by all creatinine-based and cystatin C-based equations permitted the differentiation between T1DM patients, according to albuminuria, cystatin C-based equations presented best accuracy to detect macroalbuminuria in T1DM patients and should be considered in the clinical routine in order to increase the possibility of early diagnostic of chronic renal disease. |
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2023-09-29T15:43:17Z2023-09-29T15:43:17Z2016-04602108116https://doi.org/10.1590/2359-39970000001512359-4292http://hdl.handle.net/1843/59037Objective: Several formulas based in different biomarkers may be used to estimate glomerular filtration rate (GRF). However, all of them have some limitations, and it is very important to evaluate their performances in different groups of patients. Therefore, we compared GFR, as estimated by creatinine-based and cystatin C-based equations, according to albuminuria, in type 1 diabetes (T1DM), in an observational case-control study. Subjects and methods: T1DM patients were classified according to albuminuria: normoalbuminuric (n = 63), microalbuminuric (n = 30), macroalbuminuric (n = 32). GFR was calculated using creatinine-based and cystatin C-based (aMDRD, CKD-EPIcr, CKD-EPIcys, MacIsaac, Tan and CKD-EPIcrcys) equations. Spearman Correlation was used to evaluate the correlation of GFR estimated by the formulas with albuminuria. ROC curves were constructed to compare AUCs of GFR estimated by equations, in reference to macroalbuminuria. Sensibility, specificity and accuracy were calculated for a cut-off < 60 mL/min/1.73 m2. Results: GFR estimated by creatinine-based and cystatin C-based equations significantly differed among normoalbuminuric, microalbuminuric and macroalbuminuric patients. Spearman correlation and AUCs of GFR estimated by creatinine-based and cystatin C-based formulas were very similar to each other, though cystatin C-based equations presented better correlation with albuminuria and higher AUCs than the creatinine-based ones, and the best accuracy to detect macroalbuminuric patients. Conclusion: Although GFR estimated by all creatinine-based and cystatin C-based equations permitted the differentiation between T1DM patients, according to albuminuria, cystatin C-based equations presented best accuracy to detect macroalbuminuria in T1DM patients and should be considered in the clinical routine in order to increase the possibility of early diagnostic of chronic renal disease.Objetivo: Diversas fórmulas baseadas em diferentes biomarcadores podem ser utilizadas para estimar a taxa de filtração glomerular (TFG). Porém, todas apresentam algumas limitações, sendo muito importante avaliar seu desempenho em diferentes grupos de pacientes. Portanto, comparamos a TFG, estimada por equações baseadas em creatinina e cistatina C, de acordo com albuminúria, no diabetes tipo 1 (DM1), em estudo observacional caso-controle. Sujeitos e métodos: Os pacientes com DM1 foram classificados de acordo com a albuminúria: normoalbuminúrico (n = 63), microalbuminúrico (n = 30), macroalbuminúrico (n = 32). A TFG foi calculada usando creatinina e cistatina C (aMDRD, CKD-EPIcr, Equações CKD-EPIcys, MacIsaac, Tan e CKD-EPIcrcys). Correlação de Spearman foi usada para avaliar a correlação da TFG estimada pelas fórmulas com a albuminúria. Curvas ROC foram construídas para comparar as AUCs da TFG estimadas por equações, em referência à macroalbuminúria. Sensibilidade, especificidade e precisão foram calculadas para um ponto de corte < 60 mL/min/1,73 m2. Resultados: TFG estimada por equações baseadas em creatinina e cistatina C diferiram significativamente entre normoalbuminúricos, pacientes microalbuminúricos e macroalbuminúricos. Correlação de Spearman e AUCs da TFG estimadas pelas fórmulas à base de creatinina e à base de cistatina C foram muito semelhantes entre si, embora a cistatina. As equações baseadas em C apresentaram melhor correlação com albuminúria e AUCs mais altas que as baseadas em creatinina, além de melhor acurácia para detectar pacientes macroalbuminúricos. Conclusão: Embora A TFG estimada por todas as equações baseadas em creatinina e cistatina C permitiu a diferenciação entre pacientes com DM1, de acordo com a albuminúria, as equações baseadas em cistatina C apresentaram melhor acurácia para detectar macroalbuminúria em pacientes com DM1 e devem ser consideradas na rotina clínica a fim de aumentar a possibilidade de diagnóstico precoce da doença renal crônica.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorengUniversidade Federal de Minas GeraisUFMGBrasilFAR - DEPARTAMENTO DE ANÁLISES CLÍNICAS E TOXICOLÓGICASICB - DEPARTAMENTO DE MICROBIOLOGIAMED - DEPARTAMENTO DE CLÍNICA MÉDICAMED - DEPARTAMENTO DE PEDIATRIAArchives of Endocrinology and MetabolismAlbuminúriaCistatina CTaxa de filtração glomerularNefropatias diabéticasDiabetes mellitus tipo 1AlbuminuriaCystatin CEstimated glomerular filtration rateDiabetic nephropathiesDiabetes mellitus, type 1Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patientsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.aem-sbem.com/articles-volume/?yr=2016&vol=60&issue=2Caroline Pereira DominguetiRodrigo Bastos FóscoloAna Cristina Simões e SilvaLuci Maria SantAna DusseJanice Sepúlveda ReisMaria das Graças CarvalhoAna Paula Salles Moura FernandesKarina Braga Gomes Borgesapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59037/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALEvaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients.pdfEvaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients.pdfapplication/pdf249663https://repositorio.ufmg.br/bitstream/1843/59037/2/Evaluation%20of%20creatinine-based%20and%20cystatin%20c-based%20equations%20for%20estimation%20of%20glomerular%20filtration%20rate%20in%20type%201%20diabetic%20patients.pdfe92cfade617a5a1a59100dbeab0e3f34MD521843/590372023-10-02 17:26:31.636oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-02T20:26:31Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
title |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
spellingShingle |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients Caroline Pereira Domingueti Albuminuria Cystatin C Estimated glomerular filtration rate Diabetic nephropathies Diabetes mellitus, type 1 Albuminúria Cistatina C Taxa de filtração glomerular Nefropatias diabéticas Diabetes mellitus tipo 1 |
title_short |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
title_full |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
title_fullStr |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
title_full_unstemmed |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
title_sort |
Evaluation of creatinine-based and cystatin c-based equations for estimation of glomerular filtration rate in type 1 diabetic patients |
author |
Caroline Pereira Domingueti |
author_facet |
Caroline Pereira Domingueti Rodrigo Bastos Fóscolo Ana Cristina Simões e Silva Luci Maria SantAna Dusse Janice Sepúlveda Reis Maria das Graças Carvalho Ana Paula Salles Moura Fernandes Karina Braga Gomes Borges |
author_role |
author |
author2 |
Rodrigo Bastos Fóscolo Ana Cristina Simões e Silva Luci Maria SantAna Dusse Janice Sepúlveda Reis Maria das Graças Carvalho Ana Paula Salles Moura Fernandes Karina Braga Gomes Borges |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Caroline Pereira Domingueti Rodrigo Bastos Fóscolo Ana Cristina Simões e Silva Luci Maria SantAna Dusse Janice Sepúlveda Reis Maria das Graças Carvalho Ana Paula Salles Moura Fernandes Karina Braga Gomes Borges |
dc.subject.por.fl_str_mv |
Albuminuria Cystatin C Estimated glomerular filtration rate Diabetic nephropathies Diabetes mellitus, type 1 |
topic |
Albuminuria Cystatin C Estimated glomerular filtration rate Diabetic nephropathies Diabetes mellitus, type 1 Albuminúria Cistatina C Taxa de filtração glomerular Nefropatias diabéticas Diabetes mellitus tipo 1 |
dc.subject.other.pt_BR.fl_str_mv |
Albuminúria Cistatina C Taxa de filtração glomerular Nefropatias diabéticas Diabetes mellitus tipo 1 |
description |
Objective: Several formulas based in different biomarkers may be used to estimate glomerular filtration rate (GRF). However, all of them have some limitations, and it is very important to evaluate their performances in different groups of patients. Therefore, we compared GFR, as estimated by creatinine-based and cystatin C-based equations, according to albuminuria, in type 1 diabetes (T1DM), in an observational case-control study. Subjects and methods: T1DM patients were classified according to albuminuria: normoalbuminuric (n = 63), microalbuminuric (n = 30), macroalbuminuric (n = 32). GFR was calculated using creatinine-based and cystatin C-based (aMDRD, CKD-EPIcr, CKD-EPIcys, MacIsaac, Tan and CKD-EPIcrcys) equations. Spearman Correlation was used to evaluate the correlation of GFR estimated by the formulas with albuminuria. ROC curves were constructed to compare AUCs of GFR estimated by equations, in reference to macroalbuminuria. Sensibility, specificity and accuracy were calculated for a cut-off < 60 mL/min/1.73 m2. Results: GFR estimated by creatinine-based and cystatin C-based equations significantly differed among normoalbuminuric, microalbuminuric and macroalbuminuric patients. Spearman correlation and AUCs of GFR estimated by creatinine-based and cystatin C-based formulas were very similar to each other, though cystatin C-based equations presented better correlation with albuminuria and higher AUCs than the creatinine-based ones, and the best accuracy to detect macroalbuminuric patients. Conclusion: Although GFR estimated by all creatinine-based and cystatin C-based equations permitted the differentiation between T1DM patients, according to albuminuria, cystatin C-based equations presented best accuracy to detect macroalbuminuria in T1DM patients and should be considered in the clinical routine in order to increase the possibility of early diagnostic of chronic renal disease. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-04 |
dc.date.accessioned.fl_str_mv |
2023-09-29T15:43:17Z |
dc.date.available.fl_str_mv |
2023-09-29T15:43:17Z |
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://hdl.handle.net/1843/59037 |
dc.identifier.doi.pt_BR.fl_str_mv |
https://doi.org/10.1590/2359-3997000000151 |
dc.identifier.issn.pt_BR.fl_str_mv |
2359-4292 |
url |
https://doi.org/10.1590/2359-3997000000151 http://hdl.handle.net/1843/59037 |
identifier_str_mv |
2359-4292 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Archives of Endocrinology and Metabolism |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
FAR - DEPARTAMENTO DE ANÁLISES CLÍNICAS E TOXICOLÓGICAS ICB - DEPARTAMENTO DE MICROBIOLOGIA MED - DEPARTAMENTO DE CLÍNICA MÉDICA MED - DEPARTAMENTO DE PEDIATRIA |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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Universidade Federal de Minas Gerais (UFMG) |
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UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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