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Published on: February 26, 2013
Trend in mortality after stroke with atrial fibrillation
Lars Frost1, Ljubica Vukelic Andersen, Peter Vestergaard
1Department of Cardiology A, Aarhus University Hospital, Aarhus, Denmark. Lars.Frost@as.aaa.dk
Mortality rates after stroke with atrial fibrillation significantly decreased for both men and women between 1980 and 2002 in Denmark. This study highlights improved survival trends for stroke patients with atrial fibrillation.
Area of Science:
- Cardiovascular epidemiology
- Neurology
- Public Health
Background:
- Atrial fibrillation is a common arrhythmia increasing stroke risk.
- Stroke outcomes in patients with atrial fibrillation require ongoing evaluation.
- Understanding mortality trends is crucial for public health interventions.
Purpose of the Study:
- To assess the mortality trend in patients experiencing stroke with atrial fibrillation.
- To analyze survival changes over distinct calendar year periods from 1980 to 2002.
- To examine sex-specific mortality trends, adjusting for key demographic and health factors.
Main Methods:
- Utilized the Danish National Registry of Patients to identify individuals aged 40-89 with incident stroke and atrial fibrillation.
- Employed multivariate Cox proportional hazards regression for mortality trend analysis.
- Followed subjects using the Danish Civil Registration System for vital status and emigration data.
Main Results:
- 24,470 subjects with stroke and atrial fibrillation were identified.
- A significant reduction in mortality was observed: hazard ratio of 0.65 in men and 0.69 in women in the latest period compared to the earliest.
- Survival rates improved substantially for both sexes over the study period.
Conclusions:
- Survival after stroke associated with atrial fibrillation has markedly improved in Denmark from 1980 to 2002.
- Further research is needed to account for potential confounding factors like changes in medical practices.
- The findings underscore the importance of continued monitoring of stroke outcomes in this patient population.
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