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. 2018 May 27;2018:4578140. doi: 10.1155/2018/4578140

Table 4.

Multivariable regression analysis of various biomarkers versus UACR or rGFR.

UACR rGFR
Standard β P Standard β P
Model 1
 FABP4 0.124 0.109 −0.364 <0.0001
 NGAL/Cr 0.110 0.137 −0.200 0.006
 CysC/Cr 0.307 <0.0001 −0.091 0.235
 RBP4 0.440 <0.0001 −0.163 0.034
 UACR −0.250 <0.0001
Model 2
  FABP4 0.107 0.289 −0.349 <0.0001
 NGAL/Cr 0.065 0.455 −0.095 0.220
 CysC/Cr 0.295 0.001 −0.077 0.331
 RBP4 0.441 <0.0001 −0.159 0.045
 UACR −0.232 0.001
Model 3
 FABP4 0.063 0.488 −0.367 <0.0001
 NGAL/Cr 0.082 0.343 −0.052 0.554
 CysC/Cr 0.450 <0.0001 −0.046 0.652
 RBP4 0.519 <0.0001 −0.114 0.250
 UACR −0.118 0.235

Model 1: crude model without covariate adjustment; model 2: adjustment for age, sex, BMI, waist circumference, SBP, HbA1c, and use of ACEI/ARBs; model 3: adjustment for age, sex, BMI, WC, SBP, use of ACEI/ARBs, and all the other potential damage biomarkers in the table. UACR, urinary albumin-to-creatinine ratio; rGFR, radioisotope glomerular filtration rate; FABP4, fatty acid-binding protein 4; NGAL/Cr, neutrophil gelatinase associated lipocalin-to-creatinine ratio; Cys-C/Cr, cystatin C-to-creatinine ratio; RBP4, retinal-binding protein 4.