Association of lifelong occupation and educational level with subclinical atherosclerosis in different European regions. Results from the IMPROVE study.

BACKGROUND AND AIMS: We aimed to examine the association between socioeconomic status (SES) and subclinical atherosclerosis, as assessed by carotid intima-media-thickness (C-IMT) and to investigate whether the effect of social inequality on C-IMT is mediated by cardiovascular (CV) risk factors and whether it is dissimilar in men and women, and in different European countries. METHODS: We assessed the association of lifelong occupation and educational level with C-IMT in the IMPROVE study cohort including 3703 subjects (median age 64.4 years; 48% men) from Southern (Italy), Western (France and the Netherlands) and Northern Europe (Finland and Sweden). Three summary measures of C-IMT (IMTmean, IMTmax, IMTmean-max), obtained from four segments of both carotids, were considered. RESULTS: After adjusting for conventional CV risk factors, current employment status and diet, C-IMT was higher in manual workers than in white collars (+7.7%, +5.3%, +4.6% for IMTmax, IMTmean-max and IMTmean, respectively; all p<.0001). Similar results were obtained by stratification for educational level. The effect of occupation on C-IMT was comparable in men and women and in different age groups, and was only partially mediated by differences in CV risk factors. Of note, the association of C-IMT with occupation was significant in Western and Northern Europe but not in Italy, with a significant statistical interaction (p = .0005). CONCLUSIONS: Low SES was associated with subclinical atherosclerosis in subjects with at least three CV risk factors. Such association was stronger in Northern and Western Europe than in Italy. This difference was not completely explained by inequalities in CV risk factors and behavioural variables.

Carotid plaque-thickness and common carotid IMT show additive value in cardiovascular risk prediction and reclassification.

BACKGROUND AND AIMS: Carotid plaque size and the mean common carotid intima-media thickness measured in plaque-free areas (PF CC-IMTmean) have been identified as predictors of vascular events (VEs), but their complementarity in risk prediction and stratification is still unresolved. The aim of this study was to evaluate the independence of carotid plaque thickness and PF CC-IMTmean in cardiovascular risk prediction and risk stratification. METHODS: The IMPROVE-study is a European cohort (n = 3703), where the thickness of the largest plaque detected in the whole carotid tree was indexed as cIMTmax. PF CC-IMTmean was also assessed. Hazard Ratios (HR) comparing the top quartiles of cIMTmax and PF CC-IMTmeanversus their respective 1-3 quartiles were calculated using Cox regression. RESULTS: After a 36.2-month follow-up, there were 215 VEs (125 coronary, 73 cerebral and 17 peripheral). Both cIMTmax and PF CC-IMTmean were mutually independent predictors of combined-VEs, after adjustment for center, age, sex, risk factors and pharmacological treatment [HR (95% CI) = 1.98 (1.47, 2.67) and 1.68 (1.23, 2.29), respectively]. Both variables were independent predictors of cerebrovascular events (ischemic stroke, transient ischemic attack), while only cIMTmax was an independent predictor of coronary events (myocardial infarction, sudden cardiac death, angina pectoris, angioplasty, coronary bypass grafting). In reclassification analyses, PF CC-IMTmean significantly adds to a model including both Framingham Risk Factors and cIMTmax (Integrated Discrimination Improvement; IDI = 0.009; p = 0.0001) and vice-versa (IDI = 0.02; p < 0.0001). CONCLUSIONS: cIMTmax and PF CC-IMTmean are independent predictors of VEs, and as such, they should be used as additive rather than alternative variables in models for cardiovascular risk prediction and reclassification.

Cardiovascular risk assessment beyond Systemic Coronary Risk Estimation: a role for organ damage markers.

BACKGROUND: Cardiovascular risk assessment in the clinical practice is mostly based on risk charts, such as Framingham risk score and Systemic Coronary Risk Estimation (SCORE). These enable clinicians to estimate the impact of cardiovascular risk factors and assess individual cardiovascular risk profile. Risk charts, however, do not take into account subclinical organ damage, which exerts independent influence on risk and may amplify the estimated risk profile. Inclusion of organ damage markers in the assessment may thus contribute to improve this process. OBJECTIVE: Our aim was to evaluate the influence of implementation of SCORE charts with widely available indexes of organ damage, with the purpose to ameliorate individual risk assessment. METHODOLOGY: We searched www.Pubmed.gov for evidence about the predictive value of left ventricular hypertrophy (LVH), estimated glomerular filtration rate (eGFR), microalbuminuria (MAU) and metabolic syndrome on different risk profiles estimated by SCORE. Interventional and observational trials including at least 200 patients and published after 2000 were selected. RESULTS: The presence of organ damage as well as the number of abnormal parameters indicating organ damage is associated with increased cardiovascular risk, independently of SCORE. In the area of high risk, the impact of different markers of organ damage is heterogeneous. Combined risk models of SCORE and subclinical organ damage have major impact on risk stratification and may impact on recommendation in primary prevention in all SCORE categories. CONCLUSION: Available evidence suggests a tangible clinical advantage of adding the evaluation of simple organ damage markers to risk charts in cardiovascular risk prediction.