Protein risk scores enable precise prediction of cardiovascular events in chronic kidney disease patients.

ABSTRACT:

Background

Cardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). However, there is still a lack of reliable biomarkers to predict cardiovascular events (CVEs) in this population.

Methods

This study aimed to develop a protein risk score (ProRS) model to predict CVEs in CKD patients. From the UK Biobank Pharma Proteomics Project (UKB-PPP), a total of 1,799 patients with CKD and no prior history of CVD were enrolled. Participants were randomly divided into a training set (70%) and an evaluation set (30%). We analyzed 2,920 plasma proteins to identify associations with CVEs, including coronary heart disease, heart failure, and ischemic stroke.

Results

After adjusting for significant clinical factors, 38 proteins remained

SUBMITTER: Kim YG 

PROVIDER: S-EPMC12330408 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature