Logistic regression analyses showing the relationship between variables and kidney function
| Ordinal logistic regression* | Multivariate logistic regression† | |||
| P value | OR (95% CI) | P value | OR (95% CI) | |
| Age‡ | 0.050 | 1.020 (1.001 to 1.041) | 0.009 | 0.966 (0.942 to 0.992) |
| BUN§ | <0.001 | 1.266 (1.165 to 1.376) | <0.001 | 1.440 (1.216 to 1.706) |
| UA¶ | 0.337 | 1.001 (0.999 to 1.004) | 0.085 | 1.003 (1.000 to 1.007) |
| Serum myoglobin** | 0.165 | 1.005 (0.998 to 1.013) | 0.148 | 1.136 (0.897 to 1.559) |
| Serum Cys-C†† | <0.001 | 6.784 (4.016 to 11.460) | 0.071 | 1.853 (0.949 to 3.620) |
| Serum KIM-1/100‡‡ | 0.133 | 1.069 (0.980 to 1.167) | 0.122 | 1.243 (0.943 to 1.639) |
| Serum REG Iα/100** | 0.001 | 1.737 (1.263 to 2.388) | 0.022 | 1.799 (1.088 to 2.975) |
* The ordinal multiple logistic regression shows variables independently associated with eGFR levels in all participants.
† The multivariate logistic regression analysis identified the independent influencing factors for high- and very-high-risk patients with CKD in accordance with KDIGO risk stratification. The analyses included age, BUN, UA, serum myoglobin, serum Cys-C, serum KIM-1/100 and serum REG Iα/100 into ordinal multiple logistic regression model, while adjusting for sex, diabetes, hypertension and FBG. The multivariate logistic regression model also incorporates the above covariates.
‡ years.
§ mmol/L.
¶ μmol/L.
** ng/mL.
†† mg/L.
‡‡ pg/mL.
BUN, blood urea nitrogen; CKD, chronic kidney disease; Cys-C, cystatin C; eGFR, estimated glomerular filtration rate; FBG, fast blood glucose; KDIGO, Kidney Disease Improving Global Outcomes; KIM-1, kidney injury molecule 1; REG Iα, regenerating protein Iα; UA, uric acid.