Literature DB >> 25062554

Hemorrhagic stroke the first 30 days after an acute myocardial infarction: incidence, time trends and predictors of risk.

Emil Binsell-Gerdin1, Anna Graipe2, Joachim Ögren3, Tomas Jernberg4, Thomas Mooe5.   

Abstract

BACKGROUND/
OBJECTIVES: Hemorrhagic stroke is a rare but serious complication after an acute myocardial infarction (AMI). The aims of our study were to establish the incidence, time trends and predictors of risk for hemorrhagic stroke within 30 days after an AMI in 1998-2008.
METHODS: We collected data from the Register of Information and Knowledge about Swedish Heart Intensive Care Admissions (RIKS-HIA). All patients with a myocardial infarction 1998-2008 were included, n=173,233. The data was merged with the National Patient Register in order to identify patients suffering a hemorrhagic stroke. To identify predictors of risk we used Cox models.
RESULTS: Overall the incidence decreased from 0.2% (n=94) in 1998-2000 to 0.1% (n=41) in 2007-2008. In patients with ST-elevation myocardial infarction the corresponding incidences were 0.4% (n=76) in 1998-2000 and 0.2% (n=21) in 2007-2008, and after fibrin specific thrombolytic treatment 0.6% and 1.1%, respectively, with a peak of 1.4% during 2003-2004. In total 375 patients (0.22%) suffered a hemorrhagic stroke within 30 days of the AMI. The preferred method of reperfusion changed from thrombolysis to percutaneous coronary intervention (PCI). Older age (hazard ratio (HR) >65-≤ 75 vs ≤ 65 years 1.84, 95% confidence interval (CI) 1.38-2.45), thrombolysis (HR 6.84, 95% CI 5.51-8.48), history of hemorrhagic stroke (HR 12.52, CI 8.36-18.78) and prior hypertension (HR 1.52, CI 1.23-1.86) independently predicted hemorrhagic stroke within 30 days.
CONCLUSIONS: The rate of hemorrhagic stroke within 30 days of an AMI has decreased by 50% between 1998 and 2008. The main reason is the shift in reperfusion method from thrombolysis to PCI.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Hemorrhagic stroke; Myocardial infarction; Predictor; Time trend

Mesh:

Year:  2014        PMID: 25062554     DOI: 10.1016/j.ijcard.2014.07.032

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


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