Socioeconomic characteristics of patients with coronary heart disease in relation to their cardiovascular risk profile.

Objective: People's socioeconomic status (SES) has a major impact on the risk of atherosclerotic cardiovascular disease (ASCVD) in primary prevention. In patients with existing ASCVD these associations are less documented. Here, we evaluate to what extent SES is still associated with patients' risk profile in secondary prevention.

Peripheral arterial disease and intermittent claudication in coronary heart disease patients.

Background And Aim: Peripheral artery disease (PAD) is associated with an increased risk of fatal and non-fatal coronary heart disease (CHD). The aims of the this study were 1) to investigate the prevalence of PAD and suspected PAD in a large population of established CHD patients, and 2) to assess the prevalence and control of risk factors in these patients as well health-related quality of life.

Material And Methods: In the EUROASPIRE V survey, 8243 patients with documented CHD were recruited from 27 ESC member countries and were invited to attend a study visit.

Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: Results from the European Society of Cardiology ESC-EORP EUROASPIRE V registry.

Aims: The aim of this study was to determine whether the Joint European Societies guidelines on secondary cardiovascular prevention are followed in everyday practice.

Design: A cross-sectional ESC-EORP survey (EUROASPIRE V) at 131 centres in 81 regions in 27 countries.

Methods: Patients (<80 years old) with verified coronary artery events or interventions were interviewed and examined ≥6 months later.

Cost-effectiveness of optimized adherence to prevention guidelines in European patients with coronary heart disease: Results from the EUROASPIRE IV survey.

Background: This study aims to assess the cost-effectiveness of optimized guideline adherence in patients with a history of coronary heart disease.

Methods: An individual-based decision tree model was developed using the SMART risk score tool which estimates the 10-year risk for recurrent vascular events in patients with manifest cardiovascular disease (CVD). Analyses were based on the EUROASPIRE IV survey.