AUTHOR=Schnabel Renate B. , Wild Philipp S. , Prochaska Jürgen H. , Ojeda Francisco M. , Zeller Tanja , Rzayeva Nargiz , Ebrahim Ariana , Lackner Karl J. , Beutel Manfred E. , Pfeiffer Norbert , Sinning Christoph R. , Oertelt-Prigione Sabine , Regitz-Zagrosek Vera , Binder Harald , Münzel Thomas , Blankenberg Stefan , for the Gutenberg Health Study Investigators TITLE=Sex Differences in Correlates of Intermediate Phenotypes and Prevalent Cardiovascular Disease in the General Population JOURNAL=Frontiers in Cardiovascular Medicine VOLUME=2 YEAR=2015 URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2015.00015 DOI=10.3389/fcvm.2015.00015 ISSN=2297-055X ABSTRACT=Background

There are marked sex differences in cardiovascular disease (CVD) manifestation. It is largely unknown how the distribution of CVD risk factors or intermediate phenotypes explain sex-specific differences.

Methods and Results

In 5000 individuals of the population-based Gutenberg Health Study, mean age 55 ± 11 years, 51% males, we examined sex-specific associations of classical CVD risk factors with intima-media thickness, ankle-brachial index, flow-mediated dilation, peripheral arterial tonometry, echocardiographic, and electrocardiographic variables. Intermediate cardiovascular phenotypes were related to prevalent CVD [coronary artery disease, heart failure, stroke, myocardial infarction, lower extremity artery disease (LEAD) N = 561].

We observed differential distributions of CVD risk factors with a higher risk factor burden in men. Manifest coronary artery disease, stroke, myocardial infarction, and LEAD were more frequent in men; the proportion of heart failure was higher in women. Intermediate phenotypes showed clear sex differences with more beneficial values in women. Fairly linear changes toward less beneficial values with age were observed in both sexes. In multivariable-adjusted regression analyses, age, systolic blood pressure, and body mass index were consistently associated with intermediate phenotypes in both sexes with different ranking according to random forests, maximum model R2 0.43. Risk factor-adjusted associations with prevalent CVD showed some differences by sex. No interactions by menopausal status were observed.

Conclusion

In a population-based cohort, we observed sex differences in risk factors and a broad range of intermediate phenotypes of non-invasive cardiovascular structure and function. Their relation to prevalent CVD differed markedly. Our results indicate the need of future investigations to understand sex differences in CVD manifestation.