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A new risk score to assess atrial fibrillation risk in hypertensive patients (ESCARVAL-RISK Project
Domingo Orozco-Beltran1, Jose A Quesada1, Vicente Bertomeu-Gonzalez2,3,4
1Chair of Family Medicine, Clinical Medicine Department, Miguel Hernandez University of Elche, San Juan de Alicante, Spain.
Insights
This study identified key predictors of atrial fibrillation (AF) in hypertensive patients, developing a risk score to identify individuals at high risk for this common arrhythmia.
Area of Science:
- Cardiology
- Epidemiology
- Primary Care
Background:
- Hypertension is a major risk factor for atrial fibrillation (AF).
- Predicting AF incidence in hypertensive populations is crucial for early intervention.
- Existing risk stratification tools may not be optimized for primary care settings.
Purpose of the Study:
- To determine the incidence of AF in hypertensive patients.
- To identify independent predictors of AF development.
- To create a novel risk assessment score for AF in this cohort.
Main Methods:
- A cohort study involving 12,206 hypertensive patients aged 40+ without prior AF or cardiovascular events.
- Annual follow-up visits over a mean of 36.7 months.
- Statistical analysis to identify predictors of AF incidence using Cox proportional hazards models.
Main Results:
- The incidence of AF was 10.5 per 1000 person-years.
- Independent predictors of AF included increasing age, male sex, obesity, and heart failure.
- A risk score was developed based on these significant predictive factors.
Conclusions:
- Age, male sex, obesity, and heart failure are significant independent predictors of AF in hypertensive patients.
- The developed risk score can aid in identifying high-risk individuals for targeted AF prevention strategies.
- This tool can enhance proactive cardiovascular risk management in primary care.
Abstract:
This study aimed to assess atrial fibrillation (AF) incidence and predictive factors in hypertensive patients and to formulate an AF risk assessment score that can be used to identify the patients most likely to develop AF. This was a cohort study of patients recruited in primary healthcare centers. Patients aged 40 years or older with hypertension, free of AF and with no previous cardiovascular events were included. Patients attended annual visits according to clinical practice until the end of study or onset of AF. The association between AF incidence and explanatory variables (age, sex, body mass index, medical history and other) was analyzed. Finally, 12,206 patients were included (52.6% men, and mean age was 64.9 years); the mean follow-up was 36.7 months, and 394 (3.2%) patients were diagnosed with AF. The incidence of AF was 10.5/1000 person-years. Age (hazard ratio [HR] 1.06 per year; 95% confidence interval [CI] 1.05-1.08), male sex (HR 1.88; 95% CI 1.53-2.31), obesity (HR 2.57; 95% CI 1.70-3.90), and heart failure (HR 2.44; 95% CI 1.45-4.11) were independent predictors (p < 0.001). We propose a risk score based on significant predictors, which enables the identification of people with hypertension who are at the greatest risk of AF.
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