Using computer-assisted morphometrics of 5-year biopsies to identify biomarkers of late renal allograft loss.

ABSTRACT: The current Banff scoring system was not developed to predict graft loss and may not be ideal for use in clinical trials aimed at improving allograft survival. We hypothesized that scoring histologic features of digitized renal allograft biopsies using a continuous, more objective, computer-assisted morphometric (CAM) system might be more predictive of graft loss. We performed a nested case-control study in kidney transplant recipients with a surveillance biopsy obtained 5 years after transplantation. Patients that developed death-censored graft loss (n = 67) were 2:1 matched on age, gender, and follow-up time to controls with surviving grafts (n = 134). The risk of graft loss was compared between CAM-based models vs a model based on Banff scores. Both Banff and CAM identified chronic lesi

SUBMITTER: Denic A 

PROVIDER: S-EPMC8214914 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature