It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 Miguel Hernandez University of Elche, Chair of Family Medicine, Clinical Medicine Department, San Juan de Alicante, Spain (GRID:grid.26811.3c) (ISNI:0000 0001 0586 4893)
2 University Hospital of San Juan de Alicante, Cardiology Department, San Juan de Alicante, Spain (GRID:grid.26811.3c); Miguel Hernandez University, Clinical Medicine Department, San Juan de Alicante, Spain (GRID:grid.26811.3c) (ISNI:0000 0001 0586 4893); CIBER Cardiovascular CB16/11/00420, Madrid, Spain (GRID:grid.512890.7)
3 Jazmin Primary Care Health Center, Madrid, Spain (GRID:grid.512890.7)
4 Valencia Clinical Hospital, Department of Internal Medicine, Valencia, Spain (GRID:grid.512890.7); INCLIVA Research Institute, Valencia, Spain (GRID:grid.512890.7); University of Valencia, Department of Medicine, Valencia, Spain (GRID:grid.5338.d) (ISNI:0000 0001 2173 938X)
5 University of Salamanca, Cardiovascular Research Group of Castilla y León, Health Center La Alamedilla de Salamanca, Salamanca, Spain. Research Network in Preventive Activities and Health Promotion (REDIAPP). Department of Biomedical and Diagnostic Sciences, Salamanca, Spain (GRID:grid.11762.33) (ISNI:0000 0001 2180 1817)
6 Ciudad Periodistas Primary Care Health Center, Madrid, Spain (GRID:grid.26811.3c)
7 Miguel Hernandez University of Elche, Pathology and Surgery Department, San Juan de Alicante, Spain (GRID:grid.26811.3c) (ISNI:0000 0001 0586 4893)