Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Abstract 12734: A Sex-Stratified Analysis of Social Determinants of Health and Adverse Cardiovascular Outcomes in Atrial Fibrillation

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Article
en
2023

Abstract 12734: A Sex-Stratified Analysis of Social Determinants of Health and Adverse Cardiovascular Outcomes in Atrial Fibrillation

0 Datasets

0 Files

en
2023
Vol 148 (Suppl_1)
Vol. 148
DOI: 10.1161/circ.148.suppl_1.12734dx.doi.org/10.1161/circ.148.suppl_1.12734

Get instant academic access to this publication’s datasets.

Create free accountHow it works
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Professor Gregory Lip
Professor Gregory Lip

University of Liverpool

Verified
Yusheng Zhou
Jonathan Houle
Marco Proietti
+6 more

Abstract

Introduction: Atrial fibrillation (AF) is associated with a heightened risk of adverse cardiovascular outcomes. Current prediction models often overlook potential sex differences, as well as the combined influence of gendered social determinants of health (SDOH) with traditional cardiovascular risk factors. The objective of this study is to compare the associations between social determinants and adverse outcomes in models stratified by sex. Methods: Participants were sourced from the EURObservational Research Programme-Atrial Fibrillation (ESC-EHRA EORP-AF) General Long-Term Registry. Alongside CHA 2 DS 2 -VASc variables, SDOH factors, including education, living arrangements, gender inequality index (GII), and EQ-5D-5L questionnaire subscales, were evaluated. The primary outcome was a composite of major adverse cardiovascular events (MACE) and all-cause mortality. We evaluated the predictive performance of various models using C-statistics, including individual CHA2DS2-VASc components, SDOH only, and a combined model. Results: Among 11,096 patients (mean age: 69.2 years; 40.7% females) from 27 European countries, sex-stratified analyses indicated fewer SDOH associations with composite outcomes in females compared to males. For both females and males, higher self-reported health and regular exercise were associated with lower risk of composite outcomes. In the male model only, a higher education level, higher GII, reduced mobility, reduced self-care ability, alcohol use, and smoking were all associated with an increased risk of MACE and all-cause mortality (Figure 1). The combined model demonstrated modest superior predictive performance, while the improvement when combining CHA2DS2-VASc and SDOH components appears more pronounced in males compared to females. Conclusions: The study highlights the distinct impact of SDOH in AF, with males exhibiting a wider range of SDOH factors associated with outcomes.

How to cite this publication

Yusheng Zhou, Jonathan Houle, Marco Proietti, Valeria Raparelli, Colleen M. Norris, Michał Abrahamowicz, Professor Gregory Lip, Giuseppe Boriani, Louise Pilote (2023). Abstract 12734: A Sex-Stratified Analysis of Social Determinants of Health and Adverse Cardiovascular Outcomes in Atrial Fibrillation. , 148(Suppl_1), DOI: https://doi.org/10.1161/circ.148.suppl_1.12734.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2023

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1161/circ.148.suppl_1.12734

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access