Ontology highlight
ABSTRACT: Background
The discovery of novel and highly predictive biomarkers of cardiovascular disease (CVD) has the potential to improve risk-stratification methods and may be informative regarding biological pathways contributing to disease.Methods and results
We used a discovery proteomic platform that targeted high-value proteins for CVD to ascertain 85 circulating protein biomarkers in 3523 Framingham Heart Study participants (mean age, 62 years; 53% women). Using multivariable-adjusted Cox models to account for clinical variables, we found 8 biomarkers associated with incident atherosclerotic CVD, 18 with incident heart failure, 38 with all-cause mortality, and 35 with CVD death (false discovery rate, q<0.05 for all; P-value ranges, 9.8×10-34 to 3.6×10-2<
SUBMITTER: Ho JE
PROVIDER: S-EPMC6064847 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature