Utilizing principal component analysis in the identification of clinically relevant changes in patient HLA single antigen bead solid phase testing patterns.

ABSTRACT:

Background

HLA antibody testing is essential for successful solid-organ allocation, patient monitoring post-transplant, and risk assessment for both solid-organ and hematopoietic transplant patients. Luminex solid-phase testing is the most common method for identifying HLA antibody specificities, making it one of the most complex immunoassays as each panel contains over 90 specificities for both HLA class I and HLA class II with most of the analysis being performed manually in the vendor-provided software. Principal component analysis (PCA), used in machine learning, is a feature extraction method often utilized to assess data with many variables.

Methods & findings

In our study, solid organ transplant patients who exhibited HLA donor-specific antibodies (DSAs) were used to

SUBMITTER: Cornaby C 

PROVIDER: S-EPMC10602234 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature