Usefulness of Multiple Biomarkers for Predicting Incident Major Adverse Cardiac Events in Patients Undergoing Diagnostic Coronary Angiography (From the Catheter Sampled Blood Archive in Cardiovascular Diseases [CASABLANCA] Study)

We sought to develop a multiple biomarker approach for prediction of incident major adverse cardiovascular events (MACE; composite of cardiovascular death, myocardial infarction and stroke) in patients referred for coronary angiography. In a 649-participant training cohort, predictors of MACE within one year were identified using least-angle regression; over fifty clinical variables and 109 biomarkers were analyzed. Predictive models were generated using LASSO with logistic regression. A score derived from the final model was developed and evaluated with a 278-patient validation set during a median of 3.6 years follow up.

Source: The American Journal of Cardiology - April 13, 2017 Category: Cardiology Authors: Cian P. McCarthy, Roland R.J. van Kimmenade, Hanna K. Gaggin, Mandy L. Simon, Nasrien E. Ibrahim, Parul Gandhi, Noreen Kelly, Shweta R. Motiwala, Arianna M. Belcher, Jamie Harisiades, Craig A. Magaret, Rhonda F. Rhyne, James L. Januzzi Source Type: research