Table 2.
Effect of DPI on renal survival.
| Univariate | Model 1 | Model 2 | ||||
|---|---|---|---|---|---|---|
| HR (95% CI) | p | HR (95% CI) | p | HR (95% CI) | p | |
| DPI tertile | ||||||
| Second tertile vs. first tertile | 0.626 (0.482–0.814) | <0.001 | 0.765 (0.576–1.016) | 0.07 | 0.810 (0.600–1.094) | 0.17 |
| Third tertile vs. first tertile | 0.412 (0.306–0.556) | <0.001 | 0.685 (0.495–0.948) | 0.02 | 0.737 (0.516–1.054) | 0.10 |
| BMI (kg/m2) | - | - | - | - | 1.013 (0.966–1.062) | 0.59 |
| Estimated SMM (kg) | - | - | - | - | 0.989 (0.961–1.019) | 0.48 |
| Cholesterol < 3.8 mmol/L (yes vs. no) | - | - | - | - | 1.030 (0.777–1.364) | 0.84 |
| Serum albumin < 40.0 g/L (yes vs. no) | - | - | - | - | 1.438 (1.051–1.969) | 0.02 |
DPI, dietary protein intake; HR, hazard ratio; CI, confidence interval; BMI, body mass index; SMM, skeletal muscle mass. HR and 95% CI were analyzed using Cox proportional hazard regression analysis. In the multivariate analysis, the covariates in model 1 were age, sex, current smoking, alcohol drinking, hypertension, diabetes, causes of chronic kidney disease, urine protein to creatinine ratio, blood urea nitrogen, estimated glomerular filtration rate, bilirubin, hemoglobin, and high sensitivity C-reactive protein. The covariates in model 2 were variables in model 1 with BMI, estimated SMM, cholesterol, and serum albumin.