尿生物标志物的相关性:糖尿病患者微量白蛋白尿和斑点尿蛋白。尿蛋白斑点在糖尿病肾病、肾病、蛋白尿评估、诊断和监测中的应用。

Kamran M A Aziz
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引用次数: 19

摘要

目前的研究发明了一种利用糖尿病患者尿液斑点蛋白的新方法。国际上有各种各样的研究努力和策略来检测、诊断和监测肾病/DKD。虽然24小时尿液研究是金标准,但在微量蛋白尿和斑点尿蛋白方面存在一些争议。本研究旨在利用糖尿病患者的尿蛋白斑点,并探讨其与常规尿试纸白蛋白和微量白蛋白尿的关系。本研究显示尿斑蛋白与尿试纸白蛋白有显著相关性,且尿斑蛋白随尿白蛋白的增加而增加(p值< 0.0001)。该研究还表明,肾病/DKD组的斑点尿蛋白水平明显高于无肾病/DKD组(p值< 0.0001)。同样,尿斑蛋白和尿斑蛋白/肌酐也与尿微量白蛋白和尿微量白蛋白/肌酐显著相关。我们还建立了斑点尿蛋白和微量白蛋白的显著回归模型,并提出了利用斑点尿蛋白检测和估计尿液中的微量白蛋白(< 0.0001)。综合回归方程和模型可以自信地用于检测、排除和监测蛋白尿和DKD。采用ROC曲线检测肾病和DKD的尿蛋白点,具有较高的特异性和敏感性。本文还讨论了蛋白尿/蛋白尿检测与管理方面的一些重要专利。目前的研究首次证明并得出斑点尿蛋白与尿中常规试纸白蛋白和微量白蛋白尿存在显著关联。早期发现、监测和管理蛋白尿、高血压和血脂异常,并控制好血糖,以预防糖尿病并发症也很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of Urine Biomarkers: Microalbuminuria and Spot Urine Protein among Diabetic Patients. Application of Spot Urine Protein in Diabetic Kidney Disease, Nephropathy, Proteinuria Estimation, Diagnosing and Monitoring.

Current study has invented a new method for utilizing spot urine protein among diabetic patients. There have been various efforts and strategies in research internationally to detect, diagnose and monitor nephropathy/DKD. Although 24-hour urine studies are gold standard, however, there exist some controversies about microalbuminuria and spot urine protein. The current study was designed to utilize spot urine protein among diabetic patients and to find its association with routine dipstick urine test for albumin, and microalbuminuria. The study demonstrated significant association of spot urine protein with urine dipstick albumin, and has demonstrated increasing spot urine protein with increasing albumin in urine (p-value < 0.0001). This study also demonstrated significantly higher levels of spot urine protein between the groups with nephropathy/DKD as compared to those without nephropathy/DKD (p-value < 0.0001). Similarly, spot urine protein and spot urine protein/creatinine were also significantly associated with microalbumin and microalbumin/creatinine in urine. Significant regression models for spot urine protein and microalbuminuria were also developed and proposed to detect and estimate microalbumin in urine while utilizing spot urine protein (< 0.0001). Synthesized regression equations and models can be used confidently to detect, rule out and monitor proteinuria and DKD. ROC curves were utilized to detect spot urine protein cutoff points for nephropathy and DKD with high specificity and sensitivity. Some important patents were also discussed in the paper regarding albuminuria/proteinuria detection and management. Current study has demonstrated and concluded, for the first time, that there exists a significant association of spot urine protein with routine dipstick albumin in urine and microalbuminuria. It is also essential to detect early, monitor and manage proteinuria, hypertension and dyslipidemia with good glycemic control to prevent diabetes complications.

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