A Comprehensive Assessment of Plasma CXCL9 and CXCL10 in Improving Clinical Prediction Models for Kidney Allograft Rejection.

ABSTRACT: Chemokine levels may predict kidney graft rejection. This study evaluated whether adding early plasma chemokines C-X-C motif ligand 9 (CXCL9) or chemokines C-X-C motif ligand 10 (CXCL10) measurements to a standard-of-care model improves the prediction of the need for antirejection treatment and helps guide biopsy decisions. The benchmark model used recipient and donor age, human leukocyte antigen mismatches, and dialysis need in the first 3 days after transplantation. Plasma CXCL9 or CXCL10 was added, and the extended models were evaluated using likelihood ratio tests (LRTs), area under the receiver operating characteristic curve (ROC-AUC), flexible calibration curves, and net benefit analysis. Model internal validation was performed through bootstrapping. Among 163 consecutively transplan

SUBMITTER: Souza AA 

PROVIDER: S-EPMC12402972 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature