%0 Journal Article
%A Xie, Ruijie
%A Sha, Sha
%A Brenner, Hermann
%A Schöttker, Ben
%T Circulating inflammation-related proteome improves cardiovascular risk prediction. Results from two large European cohort studies.
%J European journal of epidemiology
%V nn
%@ 0393-2990
%C [Cham]
%I Springer Nature Switzerland AG
%M DKFZ-2025-01694
%P nn
%D 2025
%Z #EA:C070#LA:C070# / epub
%X Inflammation plays a crucial role in cardiovascular disease (CVD), but the value of inflammation-related proteins in predicting major adverse cardiovascular events (MACE) is unclear. This study evaluated whether incorporating inflammation-related proteins into the SCORE2 model improves 10-year MACE risk prediction.This study included 47,382 participants from the UK Biobank and 4,135 participants from the German ESTHER study without prior CVD or diabetes. We tested C-reactive protein (CRP) and 73 inflammation-related proteins measured with Olink® panels. Biomarker selection was performed using least absolute shrinkage and selection operator (LASSO) regression with bootstrapping separately for males and females. Selected proteins were added to the SCORE2 model variables. Model performance was evaluated using Harrell's C-index, net reclassification index (NRI), and integrated discrimination index (IDI).Seven inflammation-related proteins but not CRP were selected, including two for both sexes, three specifically for males, and two specifically for females. Incorporating these proteins significantly improved the C-index (95
%K Cardiovascular disease (Other)
%K Inflammation (Other)
%K Proteins (Other)
%K Proteomics (Other)
%K Risk prediction (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40801988
%R 10.1007/s10654-025-01285-y
%U https://inrepo02.dkfz.de/record/303503