Table 3.
Multiple linear regression analysis using urinary angiotensinogen as a dependent variable in patients with type 2 diabetes (n=85)
| Dependent variable | Independent variable | Unstandardized coefficient
|
Standardized coefficient
|
t-value | P-value | Adjusted R2 | |
|---|---|---|---|---|---|---|---|
| B | Standard error | Beta | |||||
| Model 1 | ACR (mg/gCr) | −0.001 | 0.007 | 0.014 | 0.142 | 0.888 | 0.519 |
| Urinary angiotensinogen (μg/gCr) | eGFR (mL/min) | 0.022 | 0.246 | 0.009 | 0.091 | 0.928 | |
| Urinary α1-microglobulin (µg/gCr) | 3.647 | 0.498 | 0.728 | 7.324 | 1.58 × 10−10** | ||
| Model 2 Urinary angiotensinogen (μg/gCr) |
Urinary α1-microglobulin (µg/gCr) | 3.668 | 0.374 | 0.732 | 9.800 | 1.64 × 10−15** | 0.531 |
Notes: Estimated eGFR (mL/min), ACR (mg/gCr), and α1-microglobulin (µg/gCr) are used as independent variables in multiple linear regression analysis. In Model 1, all parameters are included; stepwise multiple linear regression analysis is performed in Model 2.
**
P<0.01.
Abbreviations: ACR, albumin/creatinine ratio; eGFR, estimated glomerular filtration ratio.