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The study was conducted to establish multiple regression equations to predict the urinary creatinine excrction of males and females, separately, from age, body surface area (BSA), Quetelet index (BMI)..., urinary Na/K (mEq) ratio and systolic (SBP) and diastolic blood pressure (DBP) in clinically healthy subjects. The subjects were 292 males (18 to 82 years old) and 260 females (19 to 79 y.o.), whose 6 variables mentioned above were all available to the analysis. The method of forward stepwise regression analysis was adopted to establish the regression equation. The regression equations obtained from 6 variables were as follows : y (male)＝913.1 X BSA(m2)−9.06 X Age−20.10 X Na/K ratio＋16.28 X BMI＋2.10 X DBP−1.06 X SBP＋11.11 y(female)＝-5.25 X Age＋795.3 X BSA−0.64 X SBP−0.425 X Na/K ratio−2.00 X BMI＋0.320 X DBP＋110.6 The multiple correlation coefficients were 0.804 for males and 0.748 for females, respectively. An analysis of residuals by means of plotting of stardardized residuals and predicted standardized dependent variable showed no remarkable deficiencies in both sexes, suggesting that these equations will be applicable to the evaluation of urinary creatinine excretion. However, more simple and more accurate predictive equation will be able to be established by selecting more suitable variable(s).show more
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