• Eur. J. Clin. Invest. · Dec 2021

    Predictive model for atrial fibrillation in hypertensive diabetic patients.

    • Rosa Abellana, Felipe Gonzalez-Loyola, Jose-Maria Verdu-Rotellar, Alejandro Bustamante, Elena Palà, Josep Lluis Clua-Espuny, Joan Montaner, Alonso Pedrote, Jose Luis Del Val-Garcia, Domingo Ribas Segui, and Miguel Angel Muñoz.
    • Biostatistics, Department of Basic Clinical Practice, University of Barcelona, Barcelona, Spain.
    • Eur. J. Clin. Invest. 2021 Dec 1; 51 (12): e13633.

    BackgroundSeveral scores to identify patients at high risk of suffering atrial fibrillation have been developed. Their applicability in hypertensive diabetic patients, however, remains uncertain. Our aim is to develop and validate a diagnostic predictive model to calculate the risk of developing atrial fibrillation at five years in a hypertensive diabetic population.MethodsThe derivation cohort consisted of 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) from January 2013 to December 2017. Multivariable Cox regression identified clinical risk factors associated with the development of atrial fibrillation. The overall performance, discrimination and calibration of the model were carried out.ResultsThe derivation data set comprised 54 575 patients. The atrial fibrillation rate incidence was 15.3 per 1000 person/year. A 5-year predictive model included age, male gender, overweight, heart failure, valvular heart disease, peripheral vascular disease, chronic kidney disease, number of antihypertensive drugs, systolic and diastolic blood pressure, heart rate, thromboembolism, stroke and previous history of myocardial infarction. The discrimination of the model was good (c-index = 0.692; 95% confidence interval, 0.684-0.700), and calibration was adequate. In the validation cohort, the discrimination was lower (c-index = 0.670).ConclusionsThe model accurately predicts future atrial fibrillation in a population with both diabetes and hypertension. Early detection allows the prevention of possible complications arising from this disease.© 2021 The Authors. European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.

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