We determined the prevalence of cardiovascular events in a cohort of RA patients aged 40 years and older fulfilling the 1987 American College of Rheumatology classification criteria. Two blinded radiologists independently reviewed all VFA scans to determine the presence/severity of AAC using an established 24-point scale. Logistic regression analyses were performed to determine whether AAC could discriminate between RA patients with and without CVD, and to compare the ability of VFA-detected AAC to predict CVD to conventional CVD risk factors and the Framingham Risk Score.
603 subjects fulfilled study inclusion criteria. 230 (38%) subjects had 1 or more documented CVD event and 211 (35%) had AAC detected on VFA scans. Significantly more subjects with cardiovascular events had AAC on their VFA scans than controls (76% versus 10%; P < 0.05). VFA-detected AAC was a better predictor of CVD than traditional risk factors, and significantly out-performed the Framingham Risk Score for discriminating between the presence and absence of CVD (AUC 0.85 versus 0.58; P < 0.001).
There was a significant association between VFA-detected AAC and CVD in our study population. This finding may enhance cardiovascular disease risk prediction in RA patients.