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利用随机点尿样中的蛋白质:肌酐比值预测糖尿病中的显著蛋白尿。

Use of protein: creatinine ratio in a random spot urine sample for predicting significant proteinuria in diabetes mellitus.

作者信息

Yadav B K, Adhikari S, Gyawali P, Shrestha R, Poudel B, Khanal M

机构信息

Department of Biochemistry, Tribhuvan University Teaching Hospital, Kathmandu, Nepal.

出版信息

Nepal Med Coll J. 2010 Jun;12(2):100-5.

PMID:21222407
Abstract

Present study was undertaken during a period of 6 months (September 2008-February 2009) to see an correlation of 24 hours urine protein estimation with random spot protein-creatinine (P:C) ratio among a diabetic patients. The study comprised of 144 patients aged 30-70 years, recruited from Kantipur hospital, Kathmandu. The 24-hr urine sample was collected, followed by spot random urine sample. Both samples were analyzed for protein and creatinine excretion. An informed consent was taken from all participants. Sixteen inadequately collected urine samples as defined by (predicted creatinine--measured creatinine)/predicted creatinine > 0.2 were excluded from analysis. The Spearman's rank correlation between the spot urine P:C ratio and 24-hr total protein were performed by the Statistical Package for Social Service. At the P:C ratio cutoff of 0.15 and reference method (24-hr urine protein) cutoff of 150 mg/day, the correlation coefficient was found to be 0.892 (p < 0.001). The area under ROC curve at different cutoffs was 0.88 at 95.0% CI. The sensitivity and specificity of the P:C ratio to detect significant proteinuria at the cutoff of 0.15 are 96.6% and 74.4%. So the P:C ratio can predict significant proteinuria in diabetic subjects, avoiding the inconvenient 24-hr urine collection but the cutoff should be carefully selected for different patients group under different laboratory procedures and settings.

摘要

本研究在6个月期间(2008年9月至2009年2月)进行,旨在观察糖尿病患者24小时尿蛋白测定与随机尿蛋白-肌酐(P:C)比值之间的相关性。该研究包括从加德满都的康德布尔医院招募的144名年龄在30至70岁之间的患者。收集24小时尿液样本,随后采集随机尿样。对两个样本进行蛋白质和肌酐排泄分析。所有参与者均签署了知情同意书。根据(预测肌酐-实测肌酐)/预测肌酐>0.2定义的16份收集不充分的尿液样本被排除在分析之外。通过社会科学统计软件包对随机尿P:C比值与24小时总蛋白之间进行Spearman等级相关性分析。在P:C比值临界值为0.15且参考方法(24小时尿蛋白)临界值为150mg/天时,相关系数为0.892(p<0.001)。在95.0%置信区间下,不同临界值处的ROC曲线下面积为0.88。P:C比值在临界值为0.15时检测显著蛋白尿的敏感性和特异性分别为96.6%和74.4%。因此,P:C比值可以预测糖尿病患者的显著蛋白尿,避免了不便的24小时尿液收集,但对于不同患者群体,在不同实验室程序和设置下应谨慎选择临界值。

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