Abstract | BACKGROUND: There is information suggesting differences and underuse of invasive coronary diagnostic and therapeutic procedures in women compared to men. METHODS: RESULTS: From 2004 until the end of 2009, data of 1,060,542 invasive procedures in 1,014,996 pts were prospectively registered. One-third (34.6%) of them were female. Women less often had significant CAD, irrespective of the indication for XA. In pts with relevant CAD, percutaneous coronary interventions (PCI) were recommended in 87.1% of women versus 89.1% of men with STEMI [age-adjusted OR (aOR) 0.98, 95% CI 0.93-1.04], in 67.1 vs. 66.8% in NSTE-ACS (aOR 1.10, 1.07-1.12), and in 50.3 vs 49.4% in stable CAD (aOR 1.07, 1.05-1.09). CONCLUSIONS: In pts with significant CAD, there was no difference in recommendation for PCI between the genders in stable CAD, whereas in STEMI and NSTE-ACS women were treated even more often with PCI. There were only minor differences in referral for CABG between women and men. Hence, our data provide strong evidence against a gender bias in use of invasive therapeutic procedures once the diagnosis of significant CAD has been confirmed.
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Authors | Tobias Heer, Matthias Hochadel, Karin Schmidt, Julinda Mehilli, Ralf Zahn, Karl-Heinz Kuck, Christian Hamm, Michael Böhm, Georg Ertl, Dietrich Andresen, Steffen Massberg, Jochen Senges, Günter Pilz, Anselm K Gitt, Uwe Zeymer |
Journal | Clinical research in cardiology : official journal of the German Cardiac Society
(Clin Res Cardiol)
Vol. 104
Issue 6
Pg. 507-17
(Jun 2015)
ISSN: 1861-0692 [Electronic] Germany |
PMID | 25875945
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Topics |
- Acute Coronary Syndrome
(diagnosis, epidemiology, surgery)
- Aged
- Coronary Angiography
(methods)
- Coronary Artery Disease
(diagnosis, epidemiology, surgery)
- Female
- Germany
- Healthcare Disparities
(statistics & numerical data)
- Humans
- Male
- Middle Aged
- Myocardial Infarction
(diagnosis, epidemiology, surgery)
- Percutaneous Coronary Intervention
(statistics & numerical data)
- Prospective Studies
- Registries
- Sex Factors
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