Open AccessCombining Donor-derived Cell-free DNA Fraction and Quantity to Detect Kidney Transplant Rejection Using Molecular Diagnoses and Histology as Confirmation
Author(s) -
Philip F. Halloran,
J. Reeve,
Katelynn S. MadillThomsen,
Navchetan Kaur,
Ebad Ahmed,
Carlos Cantos,
Nour Al Haj Baddar,
Zachary Demko,
Nathan L. Liang,
Ryan Swenerton,
Bernhard Zimmermann,
Paul Van Hummelen,
Adam Prewett,
Matthew Rabinowitz,
Hossein Tabriziani,
Phil Gauthier,
Paul R. Billings
Publication year - 2022
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/tp.0000000000004212
Subject(s) - biopsy , receiver operating characteristic , medicine , medical diagnosis , histology , cell free fetal dna , logistic regression , transplantation , predictive value of tests , kidney transplant , kidney , kidney transplantation , pathology , biology , pregnancy , fetus , prenatal diagnosis , genetics
Donor-derived cell-free DNA (dd-cfDNA) fraction and quantity have both been shown to be associated with allograft rejection. The present study compared the relative predictive power of each of these variables to the combination of the two, and developed an algorithm incorporating both variables to detect active rejection in renal allograft biopsies.