Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.

ABSTRACT: Plasma lipidomic measures may enable improved prediction of cardiovascular outcomes in secondary prevention. The aim of this study is to determine the association of plasma lipidomic measurements with cardiovascular events and assess their potential to predict such events. Plasma lipids (n = 342) were measured in a retrospective subcohort (n = 5,991) of the LIPID study. Proportional hazards regression was used to identify lipids associated with future cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death) and cardiovascular death. Multivariable models adding lipid species to traditional risk factors were created using lipid ranking established from the Akaike information criterion within a 5-fold cross-validation framework. The results were tested

SUBMITTER: Mundra PA 

PROVIDER: S-EPMC6171797 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature