Carotid intima-media thickness and cardiovascular risk factors in healthy volunteers.

backgroundAssessment of cardiovascular risk by scores lacks sensitivity and leaves the majority of future cardiovascular patients unidentified particularly individuals at low cardiovascular risk. The present analysis investigates into the correlation of carotid intima-media thickness (CIMT) and cardiovascular risk factors and derived scores as to the potential of improved cardiovascular risk prediction by combining the two.

methodsThe Stress, Atherosclerosis and ECG Study (STRATEGY) is a cross-sectional study of selectively healthy 107 women and 106 men without diagnosed and treated cardiovascular risk factors evenly distributed between 30 and 70 years. CIMT was determined by evaluating B-mode ultrasonograms offline according to a standardized protocol. The unpaired t-test was used to compare normal-distributed continuous variables, the Chi-squared test for normal-distributed categorical variables and the Mann-Whitney U test for non-normal distributed continuous variables. The association between risk prediction scores and CIMT was calculated by the Spearman rank correlation coefficient. Pearson correlation coefficient was used for the correlation between cardiovascular risk factors and CIMT. A multiple linear regression analysis was executed for the association of cardiovascular risk factors and CIMT.

resultsAge, systolic blood pressure, fasting glucose, total, LDL- and non-HDL-cholesterol and waist circumference were significantly associated with CIMT (each P ≤ 0.03). The Framingham Risk Score, the Prospective Cardiovascular Münster Study Score and the European Society of Cardiology Score correlated significantly but only moderately with CIMT. The Framingham Risk Score considering BMI correlated most strongly and predicted 27% of the CIMT variance in men and 20% in women.

conclusionIn individuals without overt cardiovascular risk factors and thus at low cardiovascular risk, CIMT and cardiovascular risk factors correlated only partially suggesting that combining CIMT and conventional risk factors or common derived scores may improve risk prediction in individuals at low cardiovascular risk. The clinical benefit as to cardiovascular events of such combined risk prediction needs to be explored in large prospective cohorts of still healthy low-risk volunteers. DRKS ID DRKS00015209 07/02/2019 retrospectively registered https://www.drks.de/drks_web/navigate.do?navigationId=resultsExt.