Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index

BackgroundSubclinical atherosclerosis can be present in individuals with an optimal cardiovascular risk factor profile. Traditional risk scores such as the Framingham risk score do not adequately capture risk stratification in low-risk individuals. The aim of this study was to determine if markers of metabolic syndrome and insulin resistance can better stratify low-risk individuals. MethodsA cross-sectional study of 101 healthy participants with a low Framingham risk score and no prior morbidities was performed to assess prevalence of subclinical atherosclerosis using computed tomography (CT) and ultrasound. Participants were compared between groups based on Metabolic Syndrome (MetS) and Insulin-Sensitivity Index (ISI-cal) scores. ResultsTwenty three individuals (23%) had subclinical atherosclerosis with elevated CT Agatston score >= 1. Presence of both insulin resistance (ISI-cal <9.23) and fulfillment of at least one metabolic syndrome criterion denoted high risk, resulting in significantly improved AUC (0.706 95%CI 0.588-0.822) over the Framingham risk score in predicting elevated CT Agatston score >= 1, with net reclassification index of 50.9 +/- 23.7%. High-risk patients by the new classification also exhibited significantly increased carotid intima thickness. ConclusionsThe overlap of insulin resistance and presence of >= 1 criterion for metabolic syndrome may play an instrumental role in identifying traditionally low-risk individuals predisposed to future risk of atherosclerosis and its sequelae.

Automated summary

Traditional risk assessment methods cannot adequately assess the risk of atherosclerosis in low-risk individuals, while markers of metabolic syndrome and insulin resistance are better at stratifying the risk in this population.