Table 5.
Post-transplantation prediction model for assessing risk of AR in liver transplant recipients
| Biomarker | Coefficient | P value | OR | 95% CI |
|---|---|---|---|---|
| Univariate logistic regression model | ||||
| Profile: first month post-transplantation | ||||
| CD4+CD25highghCD45RO+CD62L+ | 0.261 | 0.05 | 1.131 | 1.233–1.363 |
| Constant | −2.001 | 0.002 | 0.135 | − |
| Logit AR = −2.001 + (CD4+CD25highghCD45RO+CD62L+ × 0.261) | ||||
| Profile: first week–first month post-transplantation | ||||
| CD4+CD25highghCD45RO+CD62L+ | 0.123 | 0.008 | 1.298 | 1.074–1.188 |
| Constant | −1.584 | 0.000 | 0.205 | − |
| Logit AR = −1.584 + (CD4+CD25highghCD45RO+CD62L+ × 0.123) | ||||
The formula for logit AR derived from the coefficients is also shown. Logit AR can be used to predict the probability of AR with the formula elogit AR/1+elogit AR. CI, confidence interval.