Objective: To determine whether the combination of traditional risk factors and quantitative coronary angiography (QCA) assessment could provide accurate prognostic information on a population-based study including 1137 adults with subclinical artherosclerosis and with coronary risk factors.
Methods: Participants underwent coronary angiography examination before the minimal stenotic diameters, segment diameters, percent stenosis, plaque areas. Other parameters were analyzed by the computer-assisted Coronary Angiography Analysis System. The Framingham Risk Score for each participant was assessed. During the 1 year follow-up period, all kinds of endpoint cardiovascular events were screened. Endpoint events were defined as death from coronary heart disease, nonfatal myocardial infarction (MI) or unstable angina pectoris.
Results: During the 1 year of follow-up period, a total of 124 participants developed an endpoint event, which was significantly associated with the Framingham Risk Score, calcium of plaques and the plaque areas (all Ps<0.05). The QCA score incorporated with the QCA parameters was related to the endpoint events. The Framingham Risk Score was combined with QCA score through logistic regression for prediction of end-point events. Data from the ROC analysis showed the accuracy of this prediction algorithm was superior to the accuracy when variables themselves were used. The event-free survival rate was inferior to the control group in participates under high risk, when being screened with this prediction algorithm (P<0.05).
Conclusion: The risk of cardiovascular attack in subclinical artherosclerosis individual seemed to be associated with the Framingham Risk Score, calcium of plaques and the plaque areas. When the traditional risk factors (the Framingham Risk Score) were combined with QCA, the new method could provide more prognostic information on those adults with subclinical artherosclerosis.