Why the study?
Does substituting vascular age for chronological age change Framingham Risk Score categories in asymptomatic subjects with cardiovascular risk factors?
Does substituting vascular age for chronological age change Framingham Risk Score categories in asymptomatic subjects with cardiovascular risk factors?
Substituting vascular age derived from carotid intima-media thickness for chronological age can reclassify asymptomatic patients with cardiovascular risk factors into higher Framingham Risk Score categories.
Answers are grounded in this paper and cite their sources.
Reclassification with vascular age warrants caution in asymptomatic subjects; leaves open prospective validation of outcome prediction.
BACKGROUND: We aimed at establishing if the substitution of vascular age (VA) for chronological age (CA) causes a change in the Framingham Risk Score (FRS) categories. Sex differences in predictors of increased VA among cardiovascular (CV) risk factors and arterial stiffness (AS) parameters were identifi ed. METHODS: In 187 asymptomatic subjects with CV risk factors, classifi ed into 3 FRS categories the VA was derived from the nomograms of the carotid intima-media thickness. Two groups: 1 - subjects whose VA has exceeded CA for at least 5 years and 2 - others were established. Carotid AS parameters were obtained from echo-tracking. RESULTS: Substitution of VA for CA changed the FRS category into the higher one in 11.8% of subjects. Diabetes mellitus (DM) was the predictor of increased VA in both sexes, while metabolic syndrome (MS) only in women. The cut-off values of AS parameters that allow for prediction of increased VA were determined from the ROC-curve analysis - in men: b > 7.3, Ep > 103 kPa, AC < 0.61 mm2/kPa after adjustment for DM, BMI > 29.1 kg/m2, WHR > 0.85 and CA > 51 years; in women: b > 9.6, Ep > 126 kPa, AC < 0.75 mm2/kPa, PWV-b > 7.4 m/s after adjustment for DM, BMI > 25.8 kg/m2, WHR > 0.80 and CA > 60 years. CONCLUSIONS: The substitution of VA for CA may increase the FRS category. Sex differences in predictors of increased VA were identifi ed. AS parameters proved to be predictors of increased VA besides the classic risk factors.
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Łoboz-Rudnicka et al. (2013) studied this question.
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