Table 4.
Multiple linear regression analysis for the association of UACR (independent variable) with Cur (dependent variable)
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| St B | P | St B | P | St B | P | |
| UACR, mg/mmol | −0.262 | < 0.001 | − 0.118 | 0.007 | − 0.144 | 0.007 |
| Age, y | −0.013 | < 0.001 | −0.175 | 0.003 | −0.137 | 0.019 |
| SUA,umol/L | −0.537 | < 0.001 | −0.541 | < 0.001 | ||
| TG, mmol/L | 0.193 | < 0.001 | ||||
| UV | 0.162 | 0.002 | ||||
Abbreviations: UACR urinary albumin to creatinine ratio, Cur uric acid clearance rate, BMI body mass index, eGFR estimated glomerular filtration rate, SUA serum uric acid, CRP C-reactive protein, UpH urinary pH, TG triglycerides, UBCR urinary β2 microglobulin-creatinine ratio, UV urinary volume, Ug urinary glucose
model 1 adjusted for sex, age and BMI; model 2 plus eGFR and SUA; model 3 plus CRP, UpH, TG, UBCR, UV and Ug. Standardized beta coefficients (St B) refer to how many standard deviations a dependent variable will change per standard deviation increase in the predictor variable