AbellanaR, Gonzalez-Loyola F, Verdu-Rotellar JM, et al. - This study was intended to construct and validate a diagnostic predictive model to estimate the risk of developing atrial fibrillation at five years in a hypertensive diabetic population. Between January 2013 and December 2017, the derivation cohort consisted of 54,575 patients with both hypertension and diabetes attended in any of the 52 primary healthcare centres of Barcelona; the validation cohort came from the 11 primary healthcare centres of Terres de l’Ebre (Catalonia South). Clinical risk factors associated with the development of atrial fibrillation were distinguished by using multivariable Cox regression. Researchers performed overall performance, discrimination and calibration of the model. The results demonstrate that the model accurately predicts future atrial fibrillation in a population with both diabetes and hypertension. The findings suggest that early detection allows the prevention of possible complications arising from this disease.