Performance of a multi-biomarker panel for prediction of cardiovascular event in patients with chronic kidney disease.

ABSTRACT:

Background

Patients with chronic kidney disease (CKD) undergoing coronary catheterization are at increased risk of cardiovascular events (CVE). Measuring biomarkers before the procedure may guide clinicians in identifying patients at higher risk of future cardiovascular events.

Methods

In this sub-study the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA), 927 patients underwent coronary catheterization and were followed up for two years. Using machine learning algorithm and targeted proteomics from samples of patients with CKD, 4 biomarkers (kidney injury molecule-1, N-terminal pro B-type natriuretic peptide, osteopontin, and tissue inhibitor of metalloproteinase-1) were integrated into a prognostic algorithm to predict CVE. Results from the panel are

SUBMITTER: Mohebi R 

PROVIDER: S-EPMC9977515 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature