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联合血浆纤维蛋白原和尿α1 微球蛋白/肌酐比值对糖尿病肾病患者的预测意义。

Predictive significance of joint plasma fibrinogen and urinary alpha-1 microglobulin-creatinine ratio in patients with diabetic kidney disease.

机构信息

Department of Laboratory Medicine, Sanmen People's Hospital, Sanmen, Zhejiang, China.

Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.

出版信息

PLoS One. 2022 Jul 8;17(7):e0271181. doi: 10.1371/journal.pone.0271181. eCollection 2022.

Abstract

BACKGROUND

Although many biomarkers have high diagnostic and predictive power for diabetic kidney disease (DKD), less studies were performed for the predictive assessment in DKD and its progression with combined blood and urinary biomarkers. This study aims to explore the predictive significance of joint plasma fibrinogen (FIB) concentration and urinary alpha-1 microglobulin-creatinine (α1-MG/CR) ratio in DKD.

METHODS

A total of 234 patients with type 2 diabetes were enrolled, and their clinical and laboratory data were retrospectively assessed. A ROC curve analysis was performed to evaluate the power of plasma FIB and urinary α1-MG/CR ratio for identifying DKD and advanced DKD, respectively. The predictive power for DKD and advanced DKD was analyzed by regression analysis.

RESULTS

Plasma FIB and urinary α1-MG/CR levels were higher in patients with DKD than with pure T2D (p<0.001). The multivariate-adjusted odds ratios (ORs) were 5.047 (95%CI: 2.276-10.720) and 2.192 (95%CI: 1.539-3.122) (p<0.001) for FIB and α1-MG/CR as continuous variables for DKD prediction, respectively. The optimal cut-off values were 3.21 g/L and 2.11mg/mmol for identifying DKD, and 5.58 g/L and 11.07 mg/mmol for advanced DKD from ROC curves. At these cut-off values, the sensitivity and specificity of joint FIB and α1-MG/CR were 0.95 and 0.92 for identifying DKD, and 0.62 and 0.67 for identifying advanced DKD, respectively. The area under curve was 0.972 (95%CI: 0.948-0.995) (p<0.001) and 0.611, 95%CI: 0.488-0.734) (p>0.05). The multivariate-adjusted ORs for joint FIB and α1-MG/CR at the cut-off values were 214.500 (95%CI: 58.054-792.536) and 3.252 (95%CI: 1.040-10.175) (p<0.05), respectively.

CONCLUSION

The present study suggests that joint plasma FIB concentration and urinary α1-MG/CR ratio can be used as a powerful predictor for general DKD, but it is less predictive for advanced DKD.

摘要

背景

虽然许多生物标志物对糖尿病肾病(DKD)具有较高的诊断和预测能力,但针对联合血液和尿液生物标志物对 DKD 及其进展的预测评估的研究较少。本研究旨在探讨血浆纤维蛋白原(FIB)浓度和尿α-1 微球蛋白-肌酐(α1-MG/CR)比值联合对 DKD 的预测意义。

方法

共纳入 234 例 2 型糖尿病患者,回顾性评估其临床和实验室数据。通过 ROC 曲线分析评估血浆 FIB 和尿α1-MG/CR 比值分别识别 DKD 和晚期 DKD 的能力。通过回归分析分析对 DKD 和晚期 DKD 的预测能力。

结果

与单纯 T2D 患者相比,DKD 患者的血浆 FIB 和尿α1-MG/CR 水平更高(p<0.001)。多元调整后的优势比(OR)分别为 5.047(95%CI:2.276-10.720)和 2.192(95%CI:1.539-3.122)(p<0.001),用于 FIB 和 α1-MG/CR 作为 DKD 预测的连续变量。ROC 曲线的最佳截断值分别为 3.21g/L 和 2.11mg/mmol 用于识别 DKD,5.58g/L 和 11.07mg/mmol 用于识别晚期 DKD。在这些截断值下,联合 FIB 和 α1-MG/CR 识别 DKD 的敏感性和特异性分别为 0.95 和 0.92,识别晚期 DKD 的敏感性和特异性分别为 0.62 和 0.67。曲线下面积为 0.972(95%CI:0.948-0.995)(p<0.001)和 0.611,95%CI:0.488-0.734)(p>0.05)。联合 FIB 和 α1-MG/CR 截值处的多元调整 OR 分别为 214.500(95%CI:58.054-792.536)和 3.252(95%CI:1.040-10.175)(p<0.05)。

结论

本研究表明,联合血浆 FIB 浓度和尿α1-MG/CR 比值可作为一般 DKD 的有力预测指标,但对晚期 DKD 的预测能力较差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b3d/9269903/db21a3fd1734/pone.0271181.g001.jpg

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