Journal
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY
Volume 22, Issue 7, Pages 932-939Publisher
OXFORD UNIV PRESS
DOI: 10.1177/2047487314544045
Keywords
Atrial fibrillation; score; risk prediction
Categories
Funding
- Medical Research Council UK [G0401527, G1000143]
- Cancer Research UK [C864/A8257]
- Cancer Research UK [14136] Funding Source: researchfish
- Medical Research Council [G1000143, MC_UU_12015/1, MC_U106179471, G0401527] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0512-10114, NF-SI-0512-10135] Funding Source: researchfish
- MRC [MC_UU_12015/1] Funding Source: UKRI
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Background Identification of individuals at risk for developing atrial fibrillation (AF) will help to target screening and preventive interventions. We aimed to validate the CHARGE-AF model (including variables age, race, height, weight, blood pressure, smoking, antihypertensive medication, diabetes, myocardial infarction and heart failure) for prediction of five-year incident AF in a representative European population with a wide age range. Methods and results The CHARGE-AF model was calculated in 24,020 participants of the population-based EPIC Norfolk study with 236 cases of hospitalization with diagnosis of AF within five years. The model showed good discrimination (c-statistic 0.81, 95% confidence interval (CI) 0.75-0.85), but weak calibration (Chi(2)-statistic 142) with an almost two-fold overestimation of AF incidence. A recalibration to characteristics of the European Prospective Investigation into Cancer and Nutrition (EPIC) Norfolk cohort improved calibration considerably (Chi(2)-statistic 13.3), with acceptable discrimination in participants both >65 and 65 years of age (c-statistics 0.70, 95% CI 0.61-0.77 and 0.83, 95% CI 0.74-0.88). The recalibrated model also showed good discrimination in participants free of cardiovascular disease (c-statistics 0.80, 95% CI 0.75-0.84). Categories of predicted risk (<2.5%, 2.5-5% or >5%) showed good concordance with observed five-year AF incidence of 0.62%, 3.49% and 8.74% (log rank test p<0.001), respectively. Conclusion A recalibration of the CHARGE-AF model is necessary for accurate predictions of five-year risk of AF in the EPIC Norfolk population. The recalibrated model showed good discrimination across a wide age range and in individuals free of cardiovascular disease, and hence is broadly applicable in primary care to identify people at risk for development of AF.
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