Table 4.
Variables that resulted as significantly associated to eGFR at univariate and multivariate analysis
Univariate analysis |
Multivariate analysis |
|||||
---|---|---|---|---|---|---|
β | 95% CI | P-value | β | 95% CI | P-value | |
Living donor | 8.56 | 0.92 to 16.21 | 0.029 | – | – | – |
Donor age | −4.66 | −7.73 to −1.59 | 0.004 | −5.43 | −8.10 to −2.77 | <0.001 |
CAPN1 | −14.49 | −28.11 to −0.87 | 0.038 | – | – | – |
CXCL1 | −11.56 | −20.25 to −2.86 | 0.010 | – | – | – |
ICAM1 | −8.52 | −15.71 to −1.32 | 0.021 | – | – | – |
ITGB2 | −18.55 | −30.67 to −6.42 | 0.004 | −21.60 | −32.14 to −11.07 | <0.001 |
MME | 12.33 | 3.04 to 21.63 | 0.010 | – | – | – |
β, regression coefficient; CI, confidence interval. The regression coefficient for Donor Age is the difference in eGFR per 10-year increase in donor age. As to gene expression level variables (which were transformed using logarithm to base 10 before analyses), the regression coefficient is the difference in eGFR per 10-fold increase in gene expression. None of the continuous variables showed a significant non-linear trend. The final multiple regression equation was the following:
47.77 − 5.43 * [(Donor Age − 39.4)/10] − 21.60 * ITGβ2.