Abstract
Background
Cardiovascular risk factors and diseases represent the comorbidities with the highest prevalence in rheumatic diseases. Still, actual cardiovascular risk burden is often underestimated in current risk prediction models
Methods
To assess and compare traditional and nontraditional cardiovascular risk burden in patients with different rheumatic diseases, we analyzed demographical, clinical, laboratory, and non-invasive imaging data on patients with psoriatic arthritis in comparison with a cohort of ANCA-associated vasculitis and systemic lupus erythematosus in a cross-sectional design. Overall, we analyzed 138 patients.
Results
Data analysis revealed significant differences in traditional and nontraditional markers for cardiovascular disease risk as well as disparities in diastolic (6.67 % in PsA vs. 36% in AAV; OR 0.12 [0.03; 0.42], p < 0.05) and systolic left ventricular function (1.11% in PsA vs. 13.04% in SLE; OR 0.07 [0.005; 0.54], p < 0.05), whereas odds ratios for cardiovascular events did not differ significantly.
Conclusion
Our findings suggest that cardiovascular risk prediction algorithms should consider disease-specific disparities, which includes non-traditional cardiovascular risk burden, arguing for a patient-oriented risk assessment and consequently accurate risk stratification.