Cardiovascular risk prediction in the general population with use of suPAR, CRP, and Framingham Risk Score

S Lyngbæk, JL Marott, T Sehestedt, TW Hansen… - International journal of …, 2013 - Elsevier
S Lyngbæk, JL Marott, T Sehestedt, TW Hansen, MH Olsen, O Andersen, A Linneberg
International journal of cardiology, 2013Elsevier
Background The inflammatory biomarkers soluble urokinase plasminogen activator receptor
(suPAR) and C-reactive protein (CRP) independently predict cardiovascular disease (CVD).
The prognostic implications of suPAR and CRP combined with Framingham Risk Score
(FRS) have not been determined. Methods From 1993 to 1994, baseline levels of suPAR
and CRP were obtained from 2315 generally healthy Danish individuals (mean [SD] age:
53.9 [10.6] years) who were followed for the composite outcome of ischemic heart disease …
Background
The inflammatory biomarkers soluble urokinase plasminogen activator receptor (suPAR) and C-reactive protein (CRP) independently predict cardiovascular disease (CVD). The prognostic implications of suPAR and CRP combined with Framingham Risk Score (FRS) have not been determined.
Methods
From 1993 to 1994, baseline levels of suPAR and CRP were obtained from 2315 generally healthy Danish individuals (mean [SD] age: 53.9 [10.6] years) who were followed for the composite outcome of ischemic heart disease, stroke and CVD mortality.
Results
During a median follow-up of 12.7 years, 302 events were recorded. After adjusting for FRS, women with suPAR levels in the highest tertile had a 1.74-fold (95% confidence interval [CI]: 1.08–2.81, p = 0.027) and men a 2.09-fold (95% CI: 1.37–3.18, p < 0.001) increase in risk compared to the lowest tertile. Including suPAR and CRP together resulted in stronger risk prediction with a 3.30-fold (95% CI: 1.36–7.99, p < 0.01) increase for women and a 3.53-fold (1.78–7.02, p < 0.001) increase for men when both biomarkers were in the highest compared to the lowest tertile. The combined extreme tertiles of suPAR and CRP reallocated individuals predicted to an intermediate 10-year risk of CVD of 10–20% based on FRS, to low (< 10%) or high (> 20%) risk categories, respectively. This was reflected in a significant improvement of C statistics for men (p = 0.034) and borderline significant for women (p = 0.054), while the integrated discrimination improvement was highly significant (P ≤ 0.001) for both genders.
Conclusions
suPAR provides prognostic information of CVD risk beyond FRS and improves risk prediction substantially when combined with CRP in this setting.
Elsevier