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[根据个体年龄、体重和身高预测24小时尿肌酐排泄量及其应用]

[Prediction of 24-hour urinary creatinine excretion from age, body weight and height of an individual and its application].

作者信息

Kawasaki T, Uezono K, Itoh K, Ueno M

机构信息

Institute of Health Science, Kyushu University.

出版信息

Nihon Koshu Eisei Zasshi. 1991 Aug;38(8):567-74.

PMID:1747547
Abstract

Equations to predict 24-hour urinary creatinine excretion (UcrV) from age, body weight (W) and body height (H) were developed based on the data for UcrV determined by collecting 24-hour urine for 3-5 days in 256 male and 231 female clinically healthy subjects, aged from 20 to 84 years. By regression analysis a regression equation was developed. Multiple regression analysis revealed that age, W and H contributed most to the measured value of UcrV. The regression equations to predict UcrV from age, W and H were as follows: Predicted value of UcrV (PRCr) = -12.63 x Age + 15.12 x W + 7.39 x H - 79.90 (male: mg/day) PRCr = -4.72 x Age + 8.58 x W + 5.09 x H - 74.50 (female: mg/day) The multiple correlation coefficients were 0.87 for males and 0.73 for females, respectively. The difference between PRCr and measured UcrV (residual) was +0.81 +/- 154 (SD) mg/day on the average. An analysis of residuals by means of plotting of standardized residuals and predicted standardized dependent variables showed no remarkable deviations in both sexes, suggesting that these equations are applicable to the prediction of UcrV. These equations were applied to 38 Japanese men and women who were asked to collect 24-hour urine for 14 days on average, and also to 47 foreigners (American, Nepalese and Italian). The average residual in the former was +27 +/- 87 mg/day and that in the latter -3 +/- 85 mg/day, suggesting that these equations can be applied not only to the Japanese but also to the foreigners as a useful index in predicting 24-hour urinary creatinine excretion.

摘要

基于256名年龄在20至84岁之间的临床健康男性和231名临床健康女性的数据,制定了根据年龄、体重(W)和身高(H)预测24小时尿肌酐排泄量(UcrV)的公式。这些数据是通过收集3至5天的24小时尿液来测定UcrV得到的。通过回归分析得出了一个回归方程。多元回归分析表明,年龄、W和H对UcrV测量值的贡献最大。根据年龄、W和H预测UcrV的回归方程如下:UcrV预测值(PRCr)=-12.63×年龄 + 15.12×W + 7.39×H - 79.90(男性:mg/天)PRCr = -4.72×年龄 + 8.58×W + 5.09×H - 74.50(女性:mg/天)男性和女性的多元相关系数分别为0.87和0.73。PRCr与测量的UcrV(残差)之间的平均差异为+0.81±154(标准差)mg/天。通过绘制标准化残差和预测标准化因变量对残差进行分析,结果显示男女均无明显偏差,这表明这些方程适用于UcrV的预测。这些方程应用于38名平均被要求收集14天24小时尿液的日本男性和女性,以及47名外国人(美国人、尼泊尔人和意大利人)。前者的平均残差为+27±87 mg/天,后者为-3±85 mg/天,这表明这些方程不仅可以应用于日本人,也可以应用于外国人,作为预测24小时尿肌酐排泄量的有用指标。

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