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Published on: February 26, 2013
Incident atrial fibrillation hazard in hypertensive population: a risk function from and for clinical practice
Lia Alves-Cabratosa1, Maria García-Gil1, Marc Comas-Cufí1
1From the Vascular Health Research Group of Girona (ISV-Girona), Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), Catalonia, Spain (L.A.-C., M.G.-G., M.C.-C., A.P., R.M., D.P., J.B., R.R.); Translab Research Group, Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain (M.G.-G., R.R.); Epidemiology and Vascular Health Research Group, Girona Biomedical Research Institute (IDIBGI), Dr. Trueta University Hospital, Catalonia, Spain (A.P., R.M.); Primary Care Services, Girona, Spain (D.P., R.R.); and Catalan Institute of Health (ICS), Catalonia, Spain (D.P., R.R.).
Insights
This study developed a tool to predict atrial fibrillation risk in hypertensive patients without ischemic vascular disease. The model uses common clinical variables to aid preventive care decisions.
Area of Science:
- Cardiology
- Epidemiology
- Primary Care Research
Background:
- Hypertension is a major risk factor for cardiovascular diseases, including atrial fibrillation.
- Predicting atrial fibrillation risk in hypertensive patients without prior ischemic vascular disease is crucial for targeted prevention.
- Current risk stratification tools may not fully capture this specific population's needs.
Purpose of the Study:
- To estimate the incidence of atrial fibrillation in hypertensive individuals without ischemic vascular disease.
- To develop and validate a predictive risk function for incident atrial fibrillation in this population.
- To provide a practical tool for primary care settings to guide preventive strategies.
Main Methods:
- Historical cohort study (2006-2011) of 255,440 hypertensive patients aged ≥55 years.
- Exclusion of patients with prior atrial fibrillation, ischemic heart disease, stroke, or peripheral artery disease.
- Development and validation of a Cox proportional hazards model using derivation (60%) and validation (40%) cohorts.
Main Results:
- Atrial fibrillation incidence was 7.24 per 1000 person-years.
- The final predictive model incorporated age, weight, total cholesterol, heart failure, valvular heart disease, and antihypertensive treatment.
- The risk function demonstrated good predictive performance with concordance indices of 0.769 (derivation) and 0.768 (validation).
Conclusions:
- A validated tool using readily available clinical variables can predict atrial fibrillation incidence in hypertensive patients without ischemic vascular disease.
- This tool can assist primary care physicians in making individualized diagnostic and preventive care decisions.
- Improved risk prediction may lead to more effective strategies for preventing atrial fibrillation and its complications.
Abstract:
Determining the risk of atrial fibrillation within the hypertensive population without ischemic vascular disease would aid in decision making on preventive approaches. Accordingly, we aimed to estimate the risk of incident atrial fibrillation in this population. We conducted an historical cohort study between July 1, 2006, and December 31, 2011, using anonymized longitudinal patient information from primary care and hospital discharge records contained in the System for the Development of Research in Primary Care database. We included 255 440 hypertensive patients, aged ≥55 years at the time of study entry. Individuals with previous atrial fibrillation, ischemic heart disease, stroke, and peripheral artery disease were excluded. To build the incident atrial fibrillation risk function, a derivation and a validation cohort were defined, representing 60% and 40% of the entire database, respectively, and a Cox proportional hazards model was fitted. Atrial fibrillation incidence was 7.24 per 1000 person-years (95% confidence interval, 7.08-7.40). The final model included age, weight, total cholesterol, heart failure, valvular heart disease, and antihypertensive treatment. Its concordance index (standard error) was 0.769 (0.004) and 0.768 (0.005) in the derivation and validation datasets, respectively. This research provides a tool, built with variables from daily clinical practice, that can be readily used in the primary care setting to predict atrial fibrillation incidence in the hypertensive population without ischemic vascular disease. The tool may help tailor individualized diagnostic and preventive care decisions.
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