Skip to main content
Fig. 7 | BMC Nephrology

Fig. 7

From: Longitudinal monitoring of mRNA levels of regulatory T cell biomarkers by using non-invasive strategies to predict outcome in renal transplantation

Fig. 7

Effect of the prediction model (ROC curve) including: A) baseline FOXP3 and day-15 solCTLA-4, or B) baseline FOXP3- day-15 solCTLA-4-donor age on multivariable logistic regression for the risk for renal dysfunction at one year after transplantation. A) Area under the curve (AUC)=0.645, 95%CI: 0.523-0.754 p=0.036. A log cut-off >0.5696 has a higher risk of graft dysfunction after one year from transplantation, with a sensitivity of 72.1% and specificity of 58.6%. B) Area under the curve (AUC)= 0.802, 95%CI=0.691-0.887, p<0.001. Older donors (>53 years old) and mRNA CTLA-4 sol and FOXP3 with a log cut-off higher than the value of 0.461 predict an increased risk of graft dysfunction at one year after transplantation, with a sensitivity of 86.1% and specificity of 58.6%

Back to article page