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首页> 外文期刊>Therapeutic advances in endocrinology and metabolism. >Evaluation of urinary biomarkers for prediction of diabetic kidney disease: a propensity score matching analysis
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Evaluation of urinary biomarkers for prediction of diabetic kidney disease: a propensity score matching analysis

机译：泌尿生物标志物预测糖尿病肾病的评价：倾向评分匹配分析

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Background: The aim of this study was to evaluate the diagnostic value of six urinary biomarkers for prediction of diabetic kidney disease (DKD). Methods: The cross-sectional study recruited 1053 hospitalized patients with type?2 diabetes mellitus (T2DM), who were categorized into the diabetes mellitus (DM) with normoalbuminuria (NA) group (n?=?753) and DKD group (n?=?300) according to 24-h urinary albumin excretion rate (24-h UAE). Data on the levels of six studied urinary biomarkers [transferrin (TF), immunoglobulin G (IgG), retinol-binding protein (RBP), β-galactosidase (GAL), N-acetyl-beta-glucosaminidase (NAG), and β2-microglobulin (β2MG)] were obtained. The propensity score matching (PSM) method was applied to eliminate the influences of confounding variables. Results: Patients with DKD had higher levels of all six urinary biomarkers. All indicators demonstrated significantly increased risk of DKD, except for GAL and β2MG. Single RBP yielded the greatest area under the curve (AUC) value of 0.920 compared with the other five markers, followed by TF (0.867) and IgG (0.867). However, GAL, NAG, and β2MG were shown to have a weak prognostic ability. The diagnostic values of the different combinations were not superior to the single RBP. Conclusions: RBP, TF, and IgG could be used as reliable or good predictors of DKD. The combined use of these biomarkers did not improve DKD detection.
机译：背景：本研究的目的是评估六个尿生物标志物对预测糖尿病肾病（DKD）的诊断价值。方法：横截面研究招募了1053例住院患者的2型糖尿病（T2DM），他被分类为糖尿病（DM），用Normoalbuminuria（NA）组（N？= 753）和DKD组（n？根据24-H尿白蛋白排泄速率（24-H uAE），= 300）。关于六种研究尿生物标志物的水平的数据[转铁蛋白（TF），免疫球蛋白G（IgG），视黄醇结合蛋白（RBP），β-半乳糖苷酶（GAL），N-乙酰β-葡糖胺酶（NAG）和β2-获得了微凝胶蛋白（β2mg）]。倾向得分匹配（PSM）方法应用于消除混淆变量的影响。结果：DKD患者患有六种尿路患者的水平较高。除GAL和β2mg外，所有指标均显示出DKD的风险显着增加。与其他五个标记相比，单个RBP在曲线（AUC）值下的最大区域为0.920，然后是TF（0.867）和IgG（0.867）。然而，GAL，NAG和β2mg显示出弱预后能力。不同组合的诊断值不优于单个RBP。结论：RBP，TF和IgG可用作DKD的可靠或良好的预测因子。这些生物标志物的结合使用并未改善DKD检测。

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