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Randomised, siteless study to compare systematic atrial fibrillation screening using enrichment by a risk prediction

Farzaneh Etminani1,2, Emma Sandgren3, Johan Holm4

  • 1Center for Applied Intelligent Systems Research in Health (CAISR Health), Halmstad University, Halmstad, Sweden farzaneh.etminani@hh.se.

BMJ Open
|January 12, 2024
PubMed

Insights

The CONSIDERING-AF study will assess if a risk prediction model improves atrial fibrillation (AF) detection in older adults. This screening approach aims to identify more AF cases for timely intervention and stroke prevention.

Area of Science:

  • Cardiology
  • Public Health
  • Clinical Trials

Background:

  • Atrial fibrillation (AF) is a prevalent arrhythmia linked to serious health risks like stroke and heart failure.
  • Effective AF screening strategies are needed to identify at-risk populations and optimal detection methods.

Purpose of the Study:

  • To evaluate the efficacy of a risk prediction model (RPM) combined with continuous ECG monitoring for detecting atrial fibrillation (AF).
  • To compare AF screening enrichment using an RPM against standard care in individuals aged 65 and older.

Main Methods:

  • A randomized, controlled, diagnostic superiority trial (CONSIDERING-AF) involving four parallel groups.
  • Each group will include 740 individuals aged ≥65 years, with the intervention group receiving RPM-based screening and 14-day ECG patch monitoring.
  • The primary outcome is incident AF recorded in a regional database over 6 months.

Main Results:

  • The study is designed to determine if RPM-enriched screening increases AF detection rates compared to standard care.
  • Secondary outcomes include comparing AF incidence across different screening and monitoring combinations and assessing oral anticoagulation treatment proportions.

Conclusions:

  • The findings will inform optimal AF screening protocols for older adults.
  • This research aims to improve early detection of AF, potentially reducing associated morbidity and mortality.
Abstract

Keywords:
CARDIOLOGYEchocardiographyElectronic Health Records

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