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. Data from the World Health Organization (WHO) show that 33.5 million people worldwide-or 0.5% of the world's population-had atrial fibrillation (AF) in 2013, with higher prevalence detected in industrialized countries 1. Indeed, in Europe and the United States, different studies have estimated a prevalence of 1% to 3%, depending on the population assessed and their age 2,3. The demographic burden of AF is rising dramatically worldwide due to population ageing and probably to an increase in risk factors, particularly the obesity-diabetes pairing 4,5. In clinical practice, recognizing arrhythmia may be difficult, particularly in its subclinical and paroxysmal forms; these challenges explain a large part of the current underdiagnosis 5. Often, AF is diagnosed incidentally in asymptomatic patients or in those with non-specific symptoms 6. Previous studies have identified certain factors associated with a greater risk of developing AF 7,8 , opening the door to earlier detection through close monitoring of these patients. The Framingham Heart Study 9 has reinforced prior knowledge of individual risk factors for AF, which include age, sex, body mass index (BMI), blood pressure variables, and prevalent cardiovascular disease. Moreover, that study and others 8,10 have highlighted the role of obesity in AF, either as an independent precursor to AF or as a determinant linked to other more important risk factors such as type 2 diabetes and arterial