Table 3.
Covariate | Coefficienta (S.E.) | P value |
---|---|---|
CYP3A5*3 | 0.54 (0.044) | 7.15 × 10−29 |
| ||
Albuminb (x) | −0.17 (0.04) | 2.07 × 10−5 |
(x') | 0.12 (0.04) | 0.005 |
| ||
Age | 0.007 (0.002) | 1.80 × 10−5 |
| ||
Weightb (x) | −0.007 (0.002) | 3.24 × 10−4 |
(x') | 0.006 (0.002) | 0.004 |
| ||
Hemoglobin | 0.015 (0.006) | 0.012 |
| ||
Days post transplantb (x) | 0.0004 (6.2 × 10−5) | 2.97 × 10−9 |
(x') | −0.0012 (2.5 × 10−4) | 2.44 × 10−6 |
| ||
Sex (Male vs. Female) | 0.034 (0.043) | 0.431 |
| ||
Principal components (PCs) | ||
PC1 | −0.85 (0.59) | 0.155 |
PC2 | 0.28 (0.40) | 0.487 |
PC3 | −0.34 (0.40) | 0.404 |
PC4 | −0.25 (0.40) | 0.535 |
PC5 | −0.20 (0.40) | 0.616 |
PC6 | −0.74 (0.40) | 0.064 |
PC7 | 0.09 (0.40) | 0.816 |
PC8 | −0.27 (0.40) | 0.504 |
PC9 | 0.57 (0.40) | 0.157 |
PC10 | 0.48 (0.40) | 0.228 |
For coefficients with a positive value, the covariate results in an increase in log-transformed tacrolimus C/D ratio, whereas a negative values results in a decrease in log-transformed tacrolimus C/D ratio.
Restricted cubic spline functions with 3 knots were used to model nonlinear time trend and relationships, and x and x' are the corresponding linear and nonlinear terms.