Incident atrial fibrillation hazard in hypertensive population: a risk function from and for clinical practice

Lia Alves-Cabratosa1, Maria García-Gil1, Marc Comas-Cufí1

  • 1From the Vascular Health Research Group of Girona (ISV-Girona), Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), Catalonia, Spain (L.A.-C., M.G.-G., M.C.-C., A.P., R.M., D.P., J.B., R.R.); Translab Research Group, Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain (M.G.-G., R.R.); Epidemiology and Vascular Health Research Group, Girona Biomedical Research Institute (IDIBGI), Dr. Trueta University Hospital, Catalonia, Spain (A.P., R.M.); Primary Care Services, Girona, Spain (D.P., R.R.); and Catalan Institute of Health (ICS), Catalonia, Spain (D.P., R.R.).

Insights

This study developed a tool to predict atrial fibrillation risk in hypertensive patients without ischemic vascular disease. The model uses common clinical variables to aid preventive care decisions.

Area of Science:

  • Cardiology
  • Epidemiology
  • Primary Care Research

Background:

  • Hypertension is a major risk factor for cardiovascular diseases, including atrial fibrillation.
  • Predicting atrial fibrillation risk in hypertensive patients without prior ischemic vascular disease is crucial for targeted prevention.
  • Current risk stratification tools may not fully capture this specific population's needs.

Purpose of the Study:

  • To estimate the incidence of atrial fibrillation in hypertensive individuals without ischemic vascular disease.
  • To develop and validate a predictive risk function for incident atrial fibrillation in this population.
  • To provide a practical tool for primary care settings to guide preventive strategies.

Main Methods:

  • Historical cohort study (2006-2011) of 255,440 hypertensive patients aged ≥55 years.
  • Exclusion of patients with prior atrial fibrillation, ischemic heart disease, stroke, or peripheral artery disease.
  • Development and validation of a Cox proportional hazards model using derivation (60%) and validation (40%) cohorts.

Main Results:

  • Atrial fibrillation incidence was 7.24 per 1000 person-years.
  • The final predictive model incorporated age, weight, total cholesterol, heart failure, valvular heart disease, and antihypertensive treatment.
  • The risk function demonstrated good predictive performance with concordance indices of 0.769 (derivation) and 0.768 (validation).

Conclusions:

  • A validated tool using readily available clinical variables can predict atrial fibrillation incidence in hypertensive patients without ischemic vascular disease.
  • This tool can assist primary care physicians in making individualized diagnostic and preventive care decisions.
  • Improved risk prediction may lead to more effective strategies for preventing atrial fibrillation and its complications.

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