Table 2 Multiple regression analysis (objective value: (PS + 1))

From: Gut microbiome-derived phenyl sulfate contributes to albuminuria in diabetic kidney disease

  Model 1 Model 2 Model 3
  Regression coefficient 95% CI p Regression coefficient 95% CI p Regression coefficient 95% CI p
Log ACRa 0.107 0.043 0.171 0.001 0.078 0.009 0.146 0.028 0.076 0.007 0.145 0.031
Agea      0.009 −0.0001 0.018 0.053 0.009 −0.0004 0.019 0.061
Gender      −0.148 −0.333 0.038 0.119 −0.105 −0.303 0.092 0.297
BMI      −0.010 −0.032 0.013 0.395 −0.009 −0.034 0.016 0.488
SBP      −0.003 −0.009 0.003 0.337 −0.004 −0.011 0.004 0.345
HbA1ca      −0.049 −0.138 0.040 0.280 −0.066 −0.159 0.026 0.161
Log eGFR      −0.350 −0.758 0.058 0.093 −0.285 −0.720 0.149 0.199
Durationa          0.014 0.003 0.026 0.016
DBP          0.004 −0.008 0.015 0.520
ALTa          0.007 −0.001 0.015 0.105
TC          0.001 −0.002 0.005 0.503
TG          −0.001 −0.002 0.001 0.432
HDL          −0.001 −0.008 0.007 0.890
UA          0.028 −0.033 0.090 0.368
  1. Multiple regression analysis based on clinical factors as an independent examined by variance inflation factor (VIF) <10. PS was used as an independent variable factor. Model 1 (crude model), model 2 (adjusted by known factors: age, gender, BMI, SBP, HbA1c, log (eGFR))23, and model 3 (full model, adjusted by model 2 plus fundamental clinical data in Supplementary Table 4 (DBP, ALT, TC, TG, HDL, and UA) were used.
  2. *p < 0.05 was regarded as statistically significant. Remaining variables after the stepwise method based on Akaike’s information criterion (AIC) in model 3 are depicted as *