Why the study?
Do cardiovascular risk scores correlate with the presence of subclinical carotid atherosclerotic plaque in patients with diabetes without prior cardiovascular disease?
Do cardiovascular risk scores correlate with the presence of subclinical carotid atherosclerotic plaque in patients with diabetes without prior cardiovascular disease?
Cardiovascular risk scores show good discrimination for detecting subclinical carotid atherosclerotic plaque in diabetic patients without prior cardiovascular disease.
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Risk scores discriminated CAP presence in diabetes; leaves open whether plaque imaging refines statin decisions beyond scores.
OBJECTIVES: Cardiovascular risk estimated by several scores in patients with diabetes mellitus without a cardiovascular disease history and the association with carotid atherosclerotic plaque (CAP) were the aims of this study. MATERIALS AND METHODS: Cardiovascular risk was calculate using United Kingdom Prospective Diabetes Study (UKPDS) risk engine, Framingham risk score for cardiovascular (FSCV) and coronary disease (FSCD), and the new score (NS) proposed by the 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol. Ultrasound was used to assess CAP occurrence. A receiver operating characteristic (ROC) analysis was performed. RESULTS: One hundred seventy patients (mean age 61.4 ± 11 years, 58.8% men) were included. Average FSCV, FSCD and NS values were 33.6% ± 21%, 20.6% ± 12% and 24.8% ± 18%, respectively. According to the UKPDS score, average risk of coronary disease and stroke were 22.1% ± 16% and 14.3% ± 19% respectively. Comparing the risks estimated by the different scores a significant correlation was found. The prevalence of CAP was 51%, in patients with the higher scores this prevalence was increased. ROC analysis showed a good discrimination power between subjects with or without CAP. CONCLUSION: The cardiovascular risk estimated was high but heterogenic. The prevalence of CAP increased according to the strata of risk. Understanding the relationship between CAP and scores could improve the risk estimation in subjects with diabetes.
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Massón et al. (2017) studied this question.
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