Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | http://dx.doi.org/10.1016/j.ekir.2016.10.001 https://repositorio.unifesp.br/handle/11600/54948 |
Resumo: | Introduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction. |
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Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetesalbuminuriabiomarkerscystatin Cdiabetic kidney diseaseNGALIntroduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction.Fac Med ABC, Dept Gen Practice, Santo Andre, BrazilUniv Fed Sao Paulo, Earth Sci Dept, Sao Paulo, Fac Med ABC, Clin Anal Lab, Santo Andre, BrazilUniv Fed Sao Paulo, Earth Sci Dept, Sao Paulo, Fac Med ABC, Clin Anal Lab, Santo Andre, BrazilWeb of ScienceFundaao de Amparo a Pesquisa do Estado de Sao PauloNucleo de Assistencia a Pesquisa ClinicaFAPESP: 2014/04596-8Elsevier - Division Reed Elsevier India Pvt Ltd2020-07-17T14:02:41Z2020-07-17T14:02:41Z2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion152-158http://dx.doi.org/10.1016/j.ekir.2016.10.001Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017.10.1016/j.ekir.2016.10.0012468-0249https://repositorio.unifesp.br/handle/11600/54948WOS:000405959300007engKidney International ReportsNew Delhiinfo:eu-repo/semantics/openAccessBacci, Marcelo R.Chehter, Ethel Z.Azzalis, Ligia A. [UNIFESP]de Aguiar Alves, Beatriz CostaFonseca, Fernando L. A.reponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2021-09-28T16:45:39Zoai:repositorio.unifesp.br/:11600/54948Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652021-09-28T16:45:39Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
title |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
spellingShingle |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes Bacci, Marcelo R. albuminuria biomarkers cystatin C diabetic kidney disease NGAL |
title_short |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
title_full |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
title_fullStr |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
title_full_unstemmed |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
title_sort |
Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes |
author |
Bacci, Marcelo R. |
author_facet |
Bacci, Marcelo R. Chehter, Ethel Z. Azzalis, Ligia A. [UNIFESP] de Aguiar Alves, Beatriz Costa Fonseca, Fernando L. A. |
author_role |
author |
author2 |
Chehter, Ethel Z. Azzalis, Ligia A. [UNIFESP] de Aguiar Alves, Beatriz Costa Fonseca, Fernando L. A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Bacci, Marcelo R. Chehter, Ethel Z. Azzalis, Ligia A. [UNIFESP] de Aguiar Alves, Beatriz Costa Fonseca, Fernando L. A. |
dc.subject.por.fl_str_mv |
albuminuria biomarkers cystatin C diabetic kidney disease NGAL |
topic |
albuminuria biomarkers cystatin C diabetic kidney disease NGAL |
description |
Introduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2020-07-17T14:02:41Z 2020-07-17T14:02:41Z |
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/10.1016/j.ekir.2016.10.001 Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017. 10.1016/j.ekir.2016.10.001 2468-0249 https://repositorio.unifesp.br/handle/11600/54948 WOS:000405959300007 |
url |
http://dx.doi.org/10.1016/j.ekir.2016.10.001 https://repositorio.unifesp.br/handle/11600/54948 |
identifier_str_mv |
Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017. 10.1016/j.ekir.2016.10.001 2468-0249 WOS:000405959300007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Kidney International Reports |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
152-158 |
dc.coverage.none.fl_str_mv |
New Delhi |
dc.publisher.none.fl_str_mv |
Elsevier - Division Reed Elsevier India Pvt Ltd |
publisher.none.fl_str_mv |
Elsevier - Division Reed Elsevier India Pvt Ltd |
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 |
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1814268389964644352 |