Using Regression Equations to Enhance Interpretation of Histology Lesions of Kidney Transplant Rejection.

ABSTRACT:

Background

The Banff system for histologic diagnosis of rejection in kidney transplant biopsies uses guidelines to assess designated features-lesions, donor-specific antibody (DSA), and C4d staining. We explored whether using regression equations to interpret the features as well as current guidelines could establish the relative importance of each feature and improve histologic interpretation.

Methods

We developed logistic regression equations using the designated features to predict antibody-mediated rejection (AMR/mixed) and T-cell-mediated rejection (TCMR/mixed) in 1679 indication biopsies from the INTERCOMEX study ( ClinicalTrials.gov NCT01299168). Equations were trained on molecular diagnoses independent of the designated features.

Results

In regression and rand

SUBMITTER: Sikosana MLN 

PROVIDER: S-EPMC10798587 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature