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Table 2 Multiple linear regression analysis for the association of mMDP and nMDP (independent variable) with FEua (dependent variable) and the association of CV of dMSP (independent variable) with FEua and Cur (dependent variable)

From: The association of urinary uric acid excretion with ambulatory blood pressure values in patients with chronic kidney disease

 

Model 1

AdjR2

Model 2

AdjR2

Model 3

AdjR2

B

SE

P

B

SE

P

B

SE

P

FEua:

 mMDP

209.965

97.401

0.042

0.061

215.506

98.255

0.042

0.078

463.929

134.082

0.005

0.413

 nMDP

214.828

93.775

0.031

0.128

273.428

99.687

0.013

0.229

416.231

153.804

0.019

0.313

 CV of dMSP

0.762

0.338

0.033

0.074

0.914

0.334

0.013

0.113

1.154

0.550

0.056

0.125

Cur:

 CV of dMSP

0.08

0.004

0.037

0.067

0.009

0.004

0.033

0.032

0.012

0.004

0.011

0.297

  1. Model 1 adjusted for age and BMI; model 2 plus gender and ACR; model 3 plus eGFR, TC and TG. Beta coefficients refer to how many deviations a dependent variable will change per deviation increase in the predictor variable. SE refers to standard error. The adjust R2 represents the goodness of fit, which is used to measure the degree of the estimated models fitting the observations
  2. Abbreviations: FEua Fractional excretion of uric acid, mMDP Morning mean diastolic pressure, nMDP Night mean diastolic pressure, CV of dMSP Coefficient of variation of day mean systolic pressure, Cur Uric acid clearance rate, BMI Body mass index, ACR Albumin-to-creatinine ratio, eGFR Estimated glomerular filtration rate, TC Total cholesterol, TG Triglycerides