Rationale, design and protocol for risk factors for stroke in patients with non-valvular atrial fibrillation in

Wenwei Qi1,2, Shuo Yuan1,2, Hanning Liu1,2,3

  • 1National Clinical Research Centre of Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Beijing, China.

BMJ Open
|November 5, 2025
PubMed

Insights

This study establishes a nationwide Atrial Fibrillation (AF) registry to identify new stroke risk factors. The goal is to create a more accurate prediction model for better stroke prevention in AF patients.

Area of Science:

  • Cardiology
  • Epidemiology
  • Medical Informatics

Background:

  • Atrial fibrillation (AF) is the most common sustained arrhythmia globally.
  • Current stroke risk stratification tools for AF, like CHA₂DS₂-VASc, have limited predictive accuracy.
  • There is an urgent need for more precise models to guide anticoagulation therapy.

Purpose of the Study:

  • To establish a nationwide AF registry with multi-dimensional data.
  • To identify novel risk factors for stroke in AF patients.
  • To develop a more accurate stroke prediction model for improved risk stratification and anticoagulation guidance.

Main Methods:

  • The Risk Factors for Stroke in Patients with Non-valvular AF in China (REFINE) registry is a nationwide, multicentre, observational study.
  • It integrates retrospective (20,000 patients) and prospective (5,000 patients) cohorts.
  • Comprehensive baseline data (demographics, lifestyle, medical history, labs, imaging) and long-term follow-up will be collected.

Main Results:

  • Data collection and registry establishment are underway.
  • Analysis of the multidimensional dataset is planned to identify novel stroke risk factors.
  • Development of a more precise stroke risk predictive tool is the primary objective.

Conclusions:

  • The REFINE registry aims to significantly enhance stroke risk prediction in AF patients.
  • This will lead to more personalized and effective anticoagulation strategies.
  • The findings are expected to improve clinical decision-making and patient outcomes in AF management.
Abstract

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