Table 2 Logistic regression models of the predictors of IGF by multivariate analysis.
From: Circulating CXCL10 and IL-6 in solid organ donors after brain death predict graft outcomes
IL-6 | CXCL10 | |||
|---|---|---|---|---|
Odds ratio (95% CI) | p | Odds ratio (95% CI) | p | |
Kidney transplant | ||||
Recipient age | 0.99 (0.97–1.01) | 0.42 | 0.99 (0.97–1.01) | 0.39 |
Donor age | 0.98 (0.96–1) | 0.055 | 0.98 (0.96–1) | 0.062 |
HLA-B mismatch | 1.36 (1.01–1.82) | 0.039 | 1.35 (1–1.8) | 0.046 |
Panel reactive antibody (max) | 0.99 (0.98–1.00) | 0.325 | 0.99 (0.95–19 | 0.235 |
Day in waiting list | 1 (0.99–1) | 0.001 | 1 (0.99–1) | 0.001 |
Cold ischemia time | 0.97 (0.94–1) | 0.047 | 0.97 (0.94–0.99) | 0.043 |
Donor: cardiac arrest | 0.45 (0.29–0.71) | 0.001 | 0.47 (0.3–0.74) | 0.001 |
Donor: hypertension | 0.77 (0.52–1.13) | 0.18 | 0.76 (0.51–1.12) | 0.165 |
Donor: cerebral vascular accident | 0.58 (0.33–0.99) | 0.047 | 0.53 (0.-0.92) | 0.024 |
Donor: trauma | 0.67 (0.35–1.32) | 0.25 | 0.59 (0.3–1.2) | 0.14 |
Donor cytokine (log pg/ml) | 0.76 (0.58–1) | 0.055 | 0.55 (0.36–0.84) | 0.006 |
Liver transplant | ||||
HLA-DR mismatch | 0.63 (0.42–0.96) | 0.032 | 0.63 (0.42–0.96) | 0.032 |
Waiting times for transplant (days) | 0.99 (0.99–1) | 0.019 | 0.99 (0.99–1) | 0.017 |
Donor cytokine (log pg/ml) | 0.82 (0.51–1.32) | 0.42 | 0.69 (0.34–1.4) | 0.30 |
Heart transplant | ||||
Donor age | 0.96 (0.92–0.99) | 0.011 | 0.95 (0.92–0.99) | 0.007 |
Donor cytokine (log pg/ml) | 0.40 (0.20–0.81) | 0.01 | 0.26 (0.09–0.76) | 0.014 |
