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一种用于估计24小时尿肌酐排泄量的模型的开发。

Development of a model to estimate 24-hour urinary creatinine excretion.

作者信息

Gerber Linda M, Mann Samuel J

机构信息

Department of Public Health, Weill Cornell Medical College, New York, NY; Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY.

出版信息

J Clin Hypertens (Greenwich). 2014 May;16(5):367-71. doi: 10.1111/jch.12294. Epub 2014 Mar 27.

DOI:10.1111/jch.12294
PMID:24673968
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8032112/
Abstract

The accuracy of the spot urine analyte/creatinine ratio in estimating 24-hour excretion of the analyte is compromised because it is not adjusted for 24-hour creatinine excretion. The authors developed a model for conveniently estimating 24-hour creatinine excretion. The model was derived from 24-hour urine collections using multiple linear regression, including sex, weight, race, and age. The model was then evaluated in a validation cohort, assessing the correlation between estimated and measured 24-hour creatinine excretion and by comparing their correlation with muscle mass. Estimated creatinine excretion correlated strongly with measured creatinine excretion (r=0.80 in the entire cohort and 0.93 after eliminating patients with incomplete collections), and correlated at least as strongly as measured creatinine excretion with lean muscle mass (r=0.94 vs r=0.82, respectively). Adjusting spot urine analyte/creatinine ratios using the estimated 24-hour creatinine excretion by this convenient method can improve the accuracy of estimating 24-hour excretion of albumin, sodium, and other analytes.

摘要

即时尿分析物/肌酐比值在估算分析物24小时排泄量时的准确性受到影响,因为它未针对24小时肌酐排泄量进行校正。作者开发了一个用于方便估算24小时肌酐排泄量的模型。该模型是通过使用多元线性回归,从24小时尿液收集数据中推导得出的,纳入的因素包括性别、体重、种族和年龄。然后在一个验证队列中对该模型进行评估,评估估算的和测量的24小时肌酐排泄量之间的相关性,并将它们与肌肉量的相关性进行比较。估算的肌酐排泄量与测量的肌酐排泄量高度相关(在整个队列中r = 0.80,在剔除收集数据不完整的患者后r = 0.93),并且与瘦肌肉量的相关性至少与测量的肌酐排泄量一样强(分别为r = 0.94和r = 0.82)。通过这种便捷方法,使用估算的24小时肌酐排泄量来调整即时尿分析物/肌酐比值,可提高估算白蛋白、钠和其他分析物24小时排泄量的准确性。

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