Gender differences in short- and long-term mortality in the Vienna STEMI registry
Edita Piackova1, Bernhard Jäger2, Serdar Farhan1
1Wilhelminenhospital, 3rd Medical Department, Cardiology and Intensive Care Medicine, Vienna, Austria.
Background:
Data obtained from registries have shown that women diagnosed with STEMI are older, have more co-morbidities and a worse clinical outcome than men. Aim of this study was to investigate potential gender differences in in-hospital and long-term mortality in patients from Vienna STEMI registry (2003-2009).
Patients And Methods:
Data from 4593 patients who were enrolled from January 2003 until December 2009 into the Vienna STEMI registry were analyzed. Gender-related differences in patient characteristics, time delays, reperfusion therapy, as well as short- and long-term all-cause mortality were investigated. A landmark analysis was performed to assess long-term all-cause mortality in patients after discharge. Multivariate regression analysis was performed in order to correct for confounders.
Results:
Mean age, history of hypertension, diabetes mellitus and shock at presentation were significantly higher in women compared to men, whereas men were more frequently smokers, had more frequently a positive family history, a history of previous myocardial infarction and received more often GbIIb/IIIa inhibitors and reperfusion therapy. Overall the only significant difference in time delays was found in the onset of pain-to first medical contact time, which was significantly prolonged in women. Unadjusted in-hospital mortality, long-term mortality and long-term mortality for in-hospital survivors were statistically higher for women. After adjustment for confounders, multivariate analysis revealed no differences in mortalities between males and females.
Conclusion:
The higher risk profile and the prolonged delay between onset of pain-to-first medical contact are responsible for the higher unadjusted mortality rates in women. Difference in short and long-term mortalities is no more existent after statistical correction for confounders such as age, co-morbidities and significantly different time delay.
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