Abstract
Introduction
Stratification for subsequent coronary events among patients with coronary artery disease (CAD) is of considerable interest due to the potential to guide secondary preventive therapies. Soluble urokinase-type plasminogen activator receptor (suPAR) is expressed on various cells involved in atherogenesis and plaque instability, and has been associated with poor clinical outcomes in patients with various conditions.
Purpose
In this study we investigated the potential role of suPAR as a prognostic biomarker for adverse outcome in patients with CAD, and acute coronary syndrome (ACS) in particular.
Methods
Plasma levels of suPAR were measured in a cohort of 1,703 patients (AtheroGene Study) with documented coronary artery disease –including 626 patients with ACS and 1077 patients with stable angina pectoris (SAP). The main outcome measures were defined as cardiovascular death and non-fatal myocardial infarction (MI). Survival curves for the endpoints considered were computed according to thirds of the suPAR distribution. The equality of survival curves was tested using the log-rank test. Multivariable models adjusted for common cardiovascular risk factors and the biomarkers CRP, NT-proBNP and high-sensitivity troponin I (hs-TnI) in particular were also computed.
Results
The prognostic utility of suPAR was evidenced by survival curves stratified for tertiles of circulating suPAR levels –both, in the overall cohort (p=0.00062), and in the ACS cohort (p=0.00099) with a median follow-up of 3,5 years. In multivariable-adjusted Cox regression analyses the hazard ratio (HR) for the prediction of cardiovascular death was 3.60 for log-transformed suPAR levels (p<0.001) in the overall CAD cohort, whereas it was 3.34 (p=0.003) in the ACS cohort. The HR regarding prediction of the combined outcome cardiovascular death and/or non-fatal MI during follow-up was 2.19 (p<0.001) in the overall cohort, and 2.56 (p<0.001) in the ACS cohort. After multivariate adjustment, including conventional cardiovascular risk factors and hs-TnI, suPAR, after log transformation, still enabled a reliable and strong prediction of future cardiovascular death with a HR of 3.17 (p<0.001) in the overall CAD cohort, and a HR of 2.85 (p=0.014) in the ACS cohort.
Conclusions
Our study demonstrates that suPAR has a strong prognostic value independent of hs-TnI in secondary prevention settings, and thereby might represent a valuable biomarker for risk estimation in CAD.
Acknowledgement/Funding
Stiftung Rheinland-Pfalz für Innovation, European Union 7th Framework Programme, DZHK e.V., ERA-Net, Abbott Diagnostics