Abstract

AimsTo estimate the 10-year risk of fatal cardiovascular disease (CVD) in the 40 to 69 year old general population in Germany stratified by sex and to analyze differences between socio-economic status (SES), region and community size in individuals without CVD. The analysis is based on the newly recalibrated SCORE Deutschland risk charts and considered other comorbidities for the classification of the high CVD risk group according to the guidelines of the European Society of Cardiology.Methods and resultsIn 3,498 participants (40–69 years) from the German Health Examination Survey for Adults 2008–2011 (DEGS1) without a history of CVD (myocardial infarction, coronary heart disease, heart failure, stroke) we estimated the proportion with a low (SCORE <1%), moderate (SCORE 1-<5%) and high 10-year CVD mortality risk (SCORE ≥5% or diabetes, renal insufficiency, SBP/DPB ≥180/110 mmHg or cholesterol >8 mmol/l). The prevalence of low, moderate and high risk was 42.8%, 38.5% and 18.8% in men and 73.7%, 18.1% and 8.2% in women. The prevalence of high risk was significantly lower in women with a high compared to a low SES (3.3% vs. 11.2%) and in communities with ≥100.000 inhabitants compared to <20.000 inhabitants (5.4% vs.10.9%). There were no significant associations between predicted CVD mortality risk and SES or community size in men and regions in men and women. Among the high risk group, 58.2% of men and 9.8% of women had SCORE ≥5%, leaving the majority of women (60.1%) classified as high risks due to diabetes and SCORE <5%.ConclusionOur results suggest the persistence of socioeconomic disparities in predicted cardiovascular mortality in women and support the need of large-scale prevention efforts beyond individual lifestyle modification or treatment. Furthermore, the importance of additional comorbidities for the high risk group classification is highlighted.

Highlights

  • IntroductionThe risk of developing cardiovascular disease (CVD) is influenced by the single and combined effects of several factors, which can have high predictive values when they are combined in prediction models [2]

  • Cardiovascular diseases (CVD) are the leading cause of death worldwide [1]

  • The mean 10-year risk estimates for fatal cardiovascular diseases calculated with the recalibrated Systematic COronary Risk Evaluation (SCORE) were almost one third lower compared to the older version and the percentage of high-risk individuals declined from 5.2% to 2.6% when applied to the 40 to 65 year old DEGS1 population [8]

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Summary

Introduction

The risk of developing CVD is influenced by the single and combined effects of several factors, which can have high predictive values when they are combined in prediction models [2] One of these models is the Systematic COronary Risk Evaluation (SCORE) project initiated in 2003 by the European Society of Cardiology (ESC) [3]. It was calculated as a function of age, sex, systolic blood pressure, smoking status and cholesterol level and estimates the absolute risk of fatal CVD within the 10 years [4]. The mean 10-year risk estimates for fatal cardiovascular diseases calculated with the recalibrated SCORE were almost one third lower compared to the older version and the percentage of high-risk individuals (with a SCORE ! 5%) declined from 5.2% to 2.6% when applied to the 40 to 65 year old DEGS1 population [8]

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