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Published on: February 28, 2012
Decision analysis and guidelines for anticoagulant therapy to prevent stroke in patients with atrial fibrillation
R Thomson1, D Parkin, M Eccles
1Department of Epidemiology and Public Health, School of Health Sciences, Newcastle Medical School, Newcastle Upon Tyne, UK. richard.thomson@ncl.ac.uk
Insights
Warfarin therapy for non-valvular atrial fibrillation can prevent stroke, reduce healthcare costs, and improve quality of life. Decision analysis aids in creating guidelines for anticoagulant treatment, considering patient preferences and effectiveness.
Area of Science:
- Cardiovascular Medicine
- Health Economics
- Decision Science
Background:
- Clinical guidelines are lacking for anticoagulant therapy in non-valvular atrial fibrillation (NVAF) to prevent stroke.
- Warfarin is a common anticoagulant used in NVAF patients.
Purpose of the Study:
- To model decision-making for warfarin treatment in atrial fibrillation (AF) patients using Markov decision analysis.
- To develop evidence-based guidelines for anticoagulant therapy in AF.
Main Methods:
- Systematic literature review, patient quality-of-life estimates, stroke registry data analysis, and cost estimation.
- Markov decision analysis incorporating sensitivity analysis.
- Application of derived guidelines to an AF patient cohort.
Main Results:
- Warfarin treatment generally decreased healthcare costs and increased quality-of-life years for most risk combinations.
- Treatment recommendations varied significantly by age, sex, and patient preferences.
- Sensitivity analysis showed treatment decisions were highly dependent on warfarin effectiveness estimates and quality-of-life impact.
Conclusions:
- Decision analysis effectively integrates complex data for informed decision-making in anticoagulation therapy.
- Identified key factors influencing treatment decisions, including patient preferences and drug effectiveness.
- The study provides a framework for developing evaluative guidelines for stroke prevention in AF.
Background:
Clinical guidelines are needed on whether or not to use anticoagulant therapy to prevent stroke in patients with non-valvular atrial fibrillation. We did a Markov decision analysis to model decision-making with regard to warfarin treatment in patients with atrial fibrillation, and used the model to develop evaluative guidelines.
Methods:
The decision analysis involved a systematic literature review supplemented by patients' estimates of the quality of life associated with different states of health, secondary analysis of stroke-registry data, and estimation of service costs; it also incorporated a sensitivity analysis. The derived guidelines were subsequently applied to a cohort of patients with atrial fibrillation.
Findings:
We constructed decision tables for 12 age and sex groups. For most risk combinations, warfarin treatment would have decreased health-care costs and increased quality-of-life years, although the clinical decision was sensitive to patients' preferences and to the estimate of warfarin's effectiveness. 97% of women with atrial fibrillation older than 75 years, and 69% aged 65-74 would have been recommended for treatment; for men, the corresponding figures would have been 75% and 53%. With the upper quartile for the loss of quality of life associated with being on warfarin treatment (1.00), all but two of the 116 patients without contraindications would have been treated, whereas with the lower quartile (0.92), only 27 of 116 would have been treated.
Interpretation:
Decision analysis is useful in the incorporation of complex probabilistic data into informed decision-making, the identification of factors influencing such decisions, and the subsequent development of evaluative guidelines.
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