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Published on: February 26, 2013
Development of a scoring system for atrial fibrillation in acute stroke and transient ischemic attack patients: the
Shaneela Malik1, William J Hicks, Lonni Schultz
1Department of Neurology, University of Virginia Health System, Charlottesville, VA, USA.
Insights
A new scoring system, LADS, helps identify stroke and TIA patients likely to have atrial fibrillation. This tool aids in preventing future cardiovascular events by targeting high-risk individuals for further investigation.
Area of Science:
- Cardiology
- Neurology
- Medical Informatics
Background:
- Atrial fibrillation detection is crucial for preventing recurrent ischemic stroke and transient ischemic attack (TIA).
- Current methods for identifying atrial fibrillation in stroke patients require optimization.
- A predictive scoring system could improve early detection and management.
Purpose of the Study:
- To develop and validate a scoring system to identify acute stroke and TIA patients at high risk for atrial fibrillation.
- To determine key clinical variables associated with atrial fibrillation in this patient population.
Main Methods:
- Retrospective review of inpatient stroke and TIA database and echocardiographic data.
- Analysis of 953 consecutive acute stroke and TIA patients aged over 18.
- Logistic regression used to develop the LADS (Left Atrial Diameter, Age, Diagnosis of Stroke) scoring system.
Main Results:
- 15% of patients had atrial fibrillation.
- Left atrial diameter, age, and stroke diagnosis were significantly associated with atrial fibrillation.
- The LADS score demonstrated 85.5% sensitivity and 53.1% specificity for detecting atrial fibrillation, potentially excluding 47% from further investigation.
Conclusions:
- The LADS scoring system effectively identifies acute stroke and TIA patients with a higher likelihood of atrial fibrillation.
- An inverse association between smoking and atrial fibrillation was observed.
- Further prospective studies are needed to confirm clinical utility and cost-effectiveness.
Introduction:
Detection of atrial fibrillation in patients presenting with ischemic stroke or transient ischemic attack (TIA) is important for the prevention of future events. We sought to develop a scoring system that would identify those patients most likely to have atrial fibrillation.
Methods:
Records from an inpatient stroke and TIA database and echocardiographic data were reviewed. Consecutive acute stroke and TIA patients over the age of 18 who were admitted during a two-year period were studied. Univariate and multivariable analyses were performed to identify variables associated with atrial fibrillation. Logistic regression analyses were used to develop a scoring system for atrial fibrillation.
Results:
953 patient charts were reviewed; 145 patients (15%) had atrial fibrillation. In univariate and multivariate analyses, variables that were significantly associated with atrial fibrillation included left atrial diameter, age, and diagnosis of stroke. A history of smoking showed an inverse association. A 6-point scoring system based on these variables (with the acronym of LADS) was developed. A score of 4 or greater was associated with a sensitivity of 85.5% and a specificity of 53.1%. Approximately 47% of stroke and TIA patients would be excluded from further investigation using this score.
Conclusions:
We describe a system of scoring that identifies acute stroke and TIA patients with a greater chance of having atrial fibrillation. An inverse relationship with smoking was found. Further prospective studies are required to determine the clinical utility and cost-effectiveness of this scoring system in clinical practice and to investigate the inverse relationship between smoking and atrial fibrillation in this population.
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