Semi-automatic software based detection of atrial fibrillation in acute ischaemic stroke and transient ischaemic attack

Eur J Neurol. 2017 Feb;24(2):322-325. doi: 10.1111/ene.13199. Epub 2016 Dec 7.

Abstract

Background and purpose: Paroxysmal atrial fibrillation (PAF) is often asymptomatic and increases the risk of ischaemic stroke. Detection of PAF is challenging but crucial because a change of treatment decreases the risk of ischaemic stroke. Post-stroke investigations recommend at least 24-h continuous cardiac rhythm monitoring. Extended monitoring detects more PAF but is limited by costs due to manual analysis. Interpretive software might be a reasonable screening tool. The aim was to validate the performance and utility of Pathfinder SL software compared to manual analysis.

Methods: In all, 135 ischaemic stroke patients with no prior history of PAF or atrial fibrillation and who had done a 7-day continuous electrocardiogram monitoring (Holter) were included. Manual analysis was compared with Pathfinder SL software including a systematic control of registered events.

Results: Seventeen (12.6%) patients were diagnosed with PAF (atrial fibrillation > 30 s). Pathfinder SL software including a systematic control of events registered 16 (94.1%) patients with PAF. Manually 15 (88.2%) patients were detected with PAF. Pathfinder SL had a negative predictive value of 99% and sensitivity of 94%.

Conclusions: Pathfinder SL software including a systematic evaluation of events is an acceptable alternative compared to manual analysis in PAF detection following ischaemic stroke. It is less time consuming and therefore a reliable, cheaper alternative compared to manual analysis.

Keywords: atrial fibrillation; ischaemic stroke; transient ischaemic attack.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Atrial Fibrillation / complications*
  • Atrial Fibrillation / diagnosis*
  • Automation
  • Brain Ischemia / complications*
  • Electrocardiography, Ambulatory
  • Female
  • Humans
  • Ischemic Attack, Transient / complications*
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Software*
  • Stroke / complications*