Lee SR, et al. - Researchers analyzed a healthy population (n= 6,819,829 adult subjects) without hypertension, diabetes, or dyslipidemia, to assess the risk of atrial fibrillation (AF) in relation to the variability of 4 metabolic components: systolic blood pressure (BP), glucose, total cholesterol (TC), and body mass index (BMI). They defined variability as variability independent of the mean (VIM). An increased risk of AF was demonstrated by subjects with the highest VIM quartile of BP, TC, and BMI vs those with the lowest VIM quartile, whereas a marginal link was reported for glucose variability. A graded risk of AF was displayed by the composite of the high variability of metabolic parameters. About 7, 13, 20, and 35% increased risk of AF was observed in subjects having 1, 2, 3, and 4 parameters of the highest VIM vs those without any highest variability of metabolic parameters, after multivariable adjustment. In subjects without cardiovascular comorbidities, a close link between the variability of metabolic parameters and the risk of AF was revealed in this study.