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Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study

BACKGROUND: The performance of urinary N-acetyl-β-D-glucosaminidase (uNAG) for the detection of acute kidney injury (AKI) was controversial. uNAG is positively correlated with blood glucose levels. Hyperglycemia is common in the critically ill adults. The influence of blood glucose levels on the acc...

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Autores principales: Wang, Lin, Deng, Yujun, Zhai, Yiling, Xu, Feng, Li, Jinghua, Zhang, Danqing, Gao, Lu, Hou, Yating, OuYang, Xin, Hu, Linhui, Yuan, Jie, Ye, Heng, Chi, Ruibin, Chen, Chunbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534873/
https://www.ncbi.nlm.nih.gov/pubmed/31126255
http://dx.doi.org/10.1186/s12882-019-1381-3
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author Wang, Lin
Deng, Yujun
Zhai, Yiling
Xu, Feng
Li, Jinghua
Zhang, Danqing
Gao, Lu
Hou, Yating
OuYang, Xin
Hu, Linhui
Yuan, Jie
Ye, Heng
Chi, Ruibin
Chen, Chunbo
author_facet Wang, Lin
Deng, Yujun
Zhai, Yiling
Xu, Feng
Li, Jinghua
Zhang, Danqing
Gao, Lu
Hou, Yating
OuYang, Xin
Hu, Linhui
Yuan, Jie
Ye, Heng
Chi, Ruibin
Chen, Chunbo
author_sort Wang, Lin
collection PubMed
description BACKGROUND: The performance of urinary N-acetyl-β-D-glucosaminidase (uNAG) for the detection of acute kidney injury (AKI) was controversial. uNAG is positively correlated with blood glucose levels. Hyperglycemia is common in the critically ill adults. The influence of blood glucose levels on the accuracy of uNAG in AKI detection has not yet been reported. The present study evaluated the effect of blood glucose levels on the diagnostic accuracy of uNAG to detect AKI. METHODS: A total of 1585 critically ill adults in intensive care units at three university hospitals were recruited in this prospective observational study. uNAG, serum glucose, and glycosylated hemoglobin (HbA1c) were measured at ICU admission. Patients were categorized based on the history of diabetes and blood glucose levels. The performance of uNAG to detect AKI in different groups was assessed by the area under the receiver operator characteristic curve. RESULTS: Four hundred and twelve patients developed AKI, of which 109 patients were severe AKI. uNAG was significantly correlated with the levels of serum glucose (P < 0.001) and HbA1c (P < 0.001). After stratification based on the serum glucose levels, no significant difference was observed in the AUC of uNAG in detecting AKI between any two groups (P > 0.05). Stratification for stress hyperglycemic demonstrated similar results.However, among non-diabetic patients, the optimal cut-off value of uNAG for detecting AKI was higher in stress hyperglycemic patients as compared to those without stress hyperglycemia. CONCLUSIONS: The blood glucose levels did not significantly affect the performance of uNAG for AKI detection in critically ill adults. However, the optimal cut-off value of uNAG to detect AKIwas affected by stress hyperglycemia in non-diabetic patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-019-1381-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-65348732019-05-30 Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study Wang, Lin Deng, Yujun Zhai, Yiling Xu, Feng Li, Jinghua Zhang, Danqing Gao, Lu Hou, Yating OuYang, Xin Hu, Linhui Yuan, Jie Ye, Heng Chi, Ruibin Chen, Chunbo BMC Nephrol Research Article BACKGROUND: The performance of urinary N-acetyl-β-D-glucosaminidase (uNAG) for the detection of acute kidney injury (AKI) was controversial. uNAG is positively correlated with blood glucose levels. Hyperglycemia is common in the critically ill adults. The influence of blood glucose levels on the accuracy of uNAG in AKI detection has not yet been reported. The present study evaluated the effect of blood glucose levels on the diagnostic accuracy of uNAG to detect AKI. METHODS: A total of 1585 critically ill adults in intensive care units at three university hospitals were recruited in this prospective observational study. uNAG, serum glucose, and glycosylated hemoglobin (HbA1c) were measured at ICU admission. Patients were categorized based on the history of diabetes and blood glucose levels. The performance of uNAG to detect AKI in different groups was assessed by the area under the receiver operator characteristic curve. RESULTS: Four hundred and twelve patients developed AKI, of which 109 patients were severe AKI. uNAG was significantly correlated with the levels of serum glucose (P < 0.001) and HbA1c (P < 0.001). After stratification based on the serum glucose levels, no significant difference was observed in the AUC of uNAG in detecting AKI between any two groups (P > 0.05). Stratification for stress hyperglycemic demonstrated similar results.However, among non-diabetic patients, the optimal cut-off value of uNAG for detecting AKI was higher in stress hyperglycemic patients as compared to those without stress hyperglycemia. CONCLUSIONS: The blood glucose levels did not significantly affect the performance of uNAG for AKI detection in critically ill adults. However, the optimal cut-off value of uNAG to detect AKIwas affected by stress hyperglycemia in non-diabetic patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-019-1381-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-24 /pmc/articles/PMC6534873/ /pubmed/31126255 http://dx.doi.org/10.1186/s12882-019-1381-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Lin
Deng, Yujun
Zhai, Yiling
Xu, Feng
Li, Jinghua
Zhang, Danqing
Gao, Lu
Hou, Yating
OuYang, Xin
Hu, Linhui
Yuan, Jie
Ye, Heng
Chi, Ruibin
Chen, Chunbo
Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title_full Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title_fullStr Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title_full_unstemmed Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title_short Impact of blood glucose levels on the accuracy of urinary N-acety-β-D-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
title_sort impact of blood glucose levels on the accuracy of urinary n-acety-β-d-glucosaminidase for acute kidney injury detection in critically ill adults: a multicenter, prospective, observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534873/
https://www.ncbi.nlm.nih.gov/pubmed/31126255
http://dx.doi.org/10.1186/s12882-019-1381-3
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