Predictors of newly diagnosed atrial fibrillation in cryptogenic stroke: a cohort study

Eur J Neurol. 2013 Oct;20(10):1352-9. doi: 10.1111/ene.12017. Epub 2012 Nov 4.

Abstract

Background and purpose: A significant proportion of cryptogenic ischaemic strokes are due to paroxysmal atrial fibrillation (AF). As paroxysmal AF appears to inexorably progress to persistent or permanent AF, this study with long-term follow-up was designed to establish the profile of patients who developed AF after hospital discharge.

Methods: All patients with cryptogenic ischaemic stroke over a 1-year period were included (n = 164). Patients were prospectively followed up at the outpatient clinic. Information on long-term outcome included the presence of newly diagnosed AF (NDAF). A specific NDAF assessment was performed at least 2 years after the index stroke using a structured telephone interview. Baseline clinical, laboratory, and echocardiographic data of these patients were retrospectively recorded. Independent predictive factors were then used to produce a predictive grading score for NDAF, derived by logistic regression analysis.

Results: With a median follow-up of 854 days, 22 cases of NDAF (13%) were observed. On multivariate analysis, factors associated with NDAF were age ≥72 years (two points), history of coronary artery disease (one point) or stroke (one point), and left atrial area ≥16 cm(2) (two points) (total score ranging from 0 to 6). Patients with a score ≤1 point did not have NDAF during follow-up.

Conclusions: In cryptogenic ischaemic stroke, the NDAF score can be used to target patients at high risk of developing AF after hospital discharge, as a score of 0-1 was highly predictive of the absence of NDAF during follow-up. These results need to be confirmed in prospective studies.

Keywords: atrial fibrillation; ischaemic stroke; outcome; secondary prevention.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Area Under Curve
  • Atrial Fibrillation / complications*
  • Atrial Fibrillation / epidemiology*
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • ROC Curve
  • Risk Factors
  • Stroke / complications*