Predictors of Atrial Fibrillation in Patients With Cryptogenic Stroke

Swetha Renati1, David K Stone2, Leonardo Almeida2

  • 1Department of Neurology, University of South Florida, Tampa, FL, USA.

The Neurohospitalist
|June 28, 2019
PubMed

Insights

Premature atrial contractions on EKG and higher thyroid-stimulating hormone levels predict atrial fibrillation in cryptogenic stroke patients. This aids in selecting patients for telemetry to improve secondary stroke prevention.

Area of Science:

  • Cardiology
  • Neurology
  • Endocrinology

Background:

  • Cryptogenic stroke patients often have undiagnosed atrial fibrillation (AF) detected via telemetry.
  • Identifying predictors of AF can optimize patient selection for monitoring.
  • Early AF detection facilitates timely secondary stroke prevention.

Purpose of the Study:

  • To identify predictive factors for atrial fibrillation (AF) detection in patients with cryptogenic stroke.
  • To improve the diagnostic yield of outpatient cardiac telemetry.
  • To expedite secondary stroke prevention strategies.

Main Methods:

  • Retrospective cross-sectional study.
  • Analysis of 121 patients with cryptogenic stroke undergoing prolonged outpatient telemetry (>21 days).
  • Review of inpatient data including EKG, echocardiogram, and laboratory results.

Main Results:

  • Atrial fibrillation (AF) was detected in 10% of patients.
  • Premature atrial contractions (PACs) on EKG strongly predicted AF detection (P = .004).
  • Higher thyroid-stimulating hormone (TSH) levels were associated with AF (P = .008), with TSH > 4.20 mIU/L being predictive (P < .001).
  • Large left atrial diameter predicted AF in males (P = .024).

Conclusions:

  • Outpatient monitoring detects atrial fibrillation in a significant portion of cryptogenic stroke patients.
  • Premature atrial contractions and elevated TSH levels are key predictors of occult AF.
  • Elevated TSH may be a novel predictor of AF, contrasting with the established link between low TSH and AF.
Abstract

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