Comprehensive peroxidase-based hematologic profiling for the prediction of 1-year myocardial infarction and death.

ABSTRACT:

Background

Recognition of biological patterns holds promise for improved identification of patients at risk for myocardial infarction (MI) and death. We hypothesized that identifying high- and low-risk patterns from a broad spectrum of hematologic phenotypic data related to leukocyte peroxidase-, erythrocyte- and platelet-related parameters may better predict future cardiovascular risk in stable cardiac patients than traditional risk factors alone.

Methods and results

Stable patients (n=7369) undergoing elective cardiac evaluation at a tertiary care center were enrolled. A model (PEROX) that predicts incident 1-year death and MI was derived from standard clinical data combined with information captured by a high-throughput peroxidase-based hematology analyzer during performa

SUBMITTER: Brennan ML 

PROVIDER: S-EPMC3014582 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature