Abstract
Background Predicting allograft dysfunction prior to clinical or biochemical evidence remains one of the challenges in transplantation, and a preclinical detection and early management of its cause allows for improved post-transplant outcomes.Donor derived cell-free DNA has been proposed as an important biomarker of allograft injury and has shown to predict dysfunction prior to any biochemical derangements. We aimed to investigate the diagnostic performance of ddcfDNA in detecting and differentiating the causes of early pre-biochemical detection of graft injury and in predicting short-term outcomes of graft health using a patented protocol and proprietary set of single nucleotide polymorphisms.Methods Blood samples were collected on defined postoperative days and were analysed through relatively economical patented protocol(Trunome™).Biopsy, biochemical tests, and clinical criteria were analysed between various subgroups.Results Of a total 50 patients, percentage ddcfDNA levels were significantly elevated in the rejection group(n = 8) as compared to the non-rejection group(n = 42; median elevation 12.8%vs4.3% respectively) with a significant correlation(r = 0.92,p < 0.0001).AUC-ROC analysis revealed that %ddcfDNA levels can predict graft health more precisely when compared to conventional liver function tests (AUC for %ddcfDNA,AST and ALT are 0.86(p < 0.001),0.65(p = 0.08) and 0.75(p < 0.01) respectively).Moreover, %ddcfDNA levels(with a threshold > 10.2%) on post-operative day7 accurately predicted short-term(3-months) health status of the graft with 93.33% sensitivity,94.44% specificity,87.50% positive predictive value,97.14% negative predictive value and 94.12% accuracy.Conclusion A single time point ddcfDNA on POD 7 accurately predicts graft health and improves risk stratification in the short-term. Personalized clinical management based on serial ddcfDNA assay will enable a tailored therapeutic regimen prior to actual clinical or biochemical event.