Evidence map›Paper›PMID 36572996›Full record

ArticleJournal of clinical laboratory analysis2023

Urinary N-acetyl-β-d-glucosaminidase-creatine ratio is a valuable predictor for advanced diabetic kidney disease.

Qinghua Huang, Xianming Fei, Huifang Zhan, Jianguang Gong, Jieru Zhou, Yulv Zhang, Xiao Ye, Yingxiang Song, Jiangbo Ma, Xiaohong Wu

Abstract read
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Article in Journal of clinical laboratory analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Qinghua HuangSuzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Xianming FeiLaboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Huifang ZhanDepartment of Emergency, Zhejiang University Hospital, the Second Affiliated Hospital of Medical College of Zhejiang University, Hangzhou, China.
Jianguang GongLaboratory of Kidney Disease, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Jieru ZhouJinzhou Medical University, Jinzhou, China.
Yulv ZhangGeriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Xiao YeGeriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Yingxiang SongGeriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Jiangbo MaGeriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Zhejiang, China.
Xiaohong WuSuzhou Medical College of Soochow University, Suzhou, Jiangsu, China.

Funding

Medicine and Health Science and Technology Project of Zhejiang Province 2020KY022Medicine and Health Science and Technology Project of Zhejiang Province 2021KY060Medicine and Health Science and Technology Project of Zhejiang Province 2022KY523Public Welfare Technology Application Research Project of Zhejiang Province LGD20h070002,LGD21H020004Research Project of Zhejiang Provincial People's Hospital ZRY2020B014Traditional Chinese Medicine Research Project of Zhejiang Province, China 2019ZB010
6 · The paper itself

Abstract

backgroundMany biomarkers show high diagnostic values for diabetic kidney disease (DKD), but fewer studies focus on the predictive assessment of DKD progression by blood and urinary biomarkers.

aimThis study aims to find powerful risk predictors and identifying biomarkers in blood and urine for DKD progression.

methodsA total of 117 patients with type 2 DKD including early and advanced stages and their laboratory parameters were statistically assessed. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the significance of discriminating between early and advanced DKD, and the predictive power for advanced DKD was analyzed by regression analysis and trisector grouping.

resultsN-acetyl-β-d-glucosaminidase-creatine (NAG/CR) level in advanced DKD was statistically higher than that in early DKD (p < 0.05), and there was a higher incidence of advanced DKD (72% vs. 56%) and high odds ratio (OR: 3.917, 95% CI: 1.579-10.011) of NAG/CR with ≥2.79 U/mmol compared with <2.79 U/mmol (p < 0.05). NAG/CR ratio also showed a higher area under the ROC curve of 0.727 (95% CI: 0.616-0.828, p = 0.010) with a high sensitivity (0.75) and a moderate specificity (0.66) when 1.93 U/mmol was set as the optimal cutoff value. The adjusted-multivariable analysis revealed that NAG/CR had an OR of 1.021 (95% CI: 1.024-1.038) and 2.223 (95% CI: 1.231-4.463) based on a continuous and categorical variable, respectively, for risk of advanced DKD. Moreover, the prevalence of advanced DKD exhibited an increasing tendency by an increment of the trisector of NAG/CR.

conclusionsThis study suggests that NAG/CR ratio is an independent predictor for advanced DKD, and it also can be used as a powerful identifying marker between early and advanced DKD.

Indexed as

Diabetes MellitusDiabetic NephropathiesAcetylglucosaminidaseBiomarkersCreatineHumansKidney TubulesAcetylglucosaminidaseBiomarkersCreatineDiabetic kidney diseaseN-acetyl-β-D-glucosaminidase-Creatinine ratioPredictorProgression

Identifiers

PMID36572996
PMCPMC9833961

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.