TABLE 5.
Cox regression models describing the associations between the individual biomarkers and all‐cause mortality
Inflammatory biomarker | HR true value | HR standardized value a | p‐value | HR true value | HR standardized value b | p‐value |
---|---|---|---|---|---|---|
MIF | 1.019 | 1.123 | .021 | 1.010 | 1.062 | .292 |
Periostin | 1.002 | 1.192 | .002 | 1.001 | 1.150 | .028 |
IGFBP1 | 1.003 | 1.279 | <.001 | 1.002 | 1.170 | .011 |
IGFBP3 | 0.858 | 0.877 | .031 | 0.884 | 0.900 | .159 |
IGF−1 | 1.000 | 0.927 | .304 | 1.000 | 1.051 | .566 |
Cathepisin S | 1.009 | 1.054 | .423 | 1.005 | 1.032 | .672 |
Resistin | 1.007 | 1.087 | .149 | 0.997 | 0.968 | .680 |
Osteopontin | 1.005 | 1.076 | .236 | 0.997 | 0.952 | .518 |
AXL6 | 1.030 | 1.087 | .162 | 1.028 | 1.080 | .266 |
GAS6 | 1.013 | 1.037 | .429 | 0.996 | 0.989 | .882 |
GDF−15 | 1.214 | 1.297 | <.001 | 1.153 | 1.210 | .006 |
Granulysin | 1.095 | 1.175 | .003 | 1.090 | 1.165 | .026 |
PTX3 | 1.061 | 1.166 | <.001 | 1.053 | 1.145 | .049 |
EPCR | 1.009 | 1.105 | .006 | 1.009 | 1.096 | .218 |
sTNFR1 | 1.402 | 1.264 | <.001 | 0.977 | 0.984 | .845 |
Syndecan | 1.028 | 1.120 | .014 | 0.982 | 0.929 | .448 |
CXCL16 | 4.214 | 1.443 | <.001 | 2.786 | 1.299 | <.001 |
YKL40 | 1.003 | 1.242 | <.001 | 1.001 | 1.103 | .120 |
Chemerin | 1.002 | 1.136 | .034 | 1.001 | 1.052 | .481 |
NGAL | 1.001 | 1.093 | .131 | 1.000 | 1.033 | .688 |
TCC | 1.477 | 1.143 | .014 | 1.245 | 1.078 | .389 |
Cox regression model adjusted for: age, BMI, sex, dialysis vintage, eGFR, deceased donor, type of CNI, smoking status, pretransplant DM or PTDM, and immunological risk c .
Each biomarker was tested alone the model as both its true and standardized value (adjusted for the variables described above).
All biomarkers were included together in the model as both its true and standardized value (adjusted for the variables described above).
Immunological high risk was defined as one of either: PRA >20%, ABO‐incompatible transplantation, or more than two prior kidney transplants.