Unknown

Dataset Information

Evaluation of Large-Scale Proteomics for Prediction of Cardiovascular Events.


ABSTRACT:

Importance

Whether protein risk scores derived from a single plasma sample could be useful for risk assessment for atherosclerotic cardiovascular disease (ASCVD), in conjunction with clinical risk factors and polygenic risk scores, is uncertain.

Objective

To develop protein risk scores for ASCVD risk prediction and compare them to clinical risk factors and polygenic risk scores in primary and secondary event populations.

Design, setting, and participants

The primary analysis was a retrospective study of primary events among 13 540 individuals in Iceland (aged 40-75 years) with proteomics data and no history of major ASCVD events at recruitment (study duration, August 23, 2000 until October 26, 2006; follow-up through 2018). We also analyzed a secondary event populatio

SUBMITTER: Helgason H 

PROVIDER: S-EPMC10445198 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature