Clinical predictors of cardiac events in patients with isolated syncope and negative electrophysiologic study

Antoine Da Costa1, Jean-Luc Gulian, Cécile Romeyer-Bouchard

  • 1Division of Cardiology, University Jean Monnet of Saint-Etienne, 42000 Saint-Etienne, France. dakosta@aol.com

Insights

For patients with unexplained syncope, an abnormal electrocardiogram (ECG) is the sole predictor of significant cardiac events. This finding aids in risk stratification for cardiac arrhythmias after initial negative diagnostic tests.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Diagnostic Medicine

Background:

  • Syncope and near syncope of unknown origin pose diagnostic challenges.
  • Initial evaluations and electrophysiologic testing (EPS) often yield inconclusive results for risk stratification.
  • Implantable Holter monitoring is typically reserved for recurrent episodes.

Purpose of the Study:

  • Identify predictors of significant cardiac rhythmic events in patients with syncope after negative diagnostics and EPS.
  • Define significant cardiac events, including symptomatic atrioventricular (AV) block, conduction abnormalities, ventricular arrhythmias, and sudden death.

Main Methods:

  • Retrospective analysis of 329 patients undergoing EPS for syncope or presyncope (1997-2001).
  • Data included patient demographics, medical history, and electrocardiogram (ECG) findings.
  • Follow-up averaged 31 months to assess cardiac rhythmic events.

Main Results:

  • Among 305 patients with follow-up, 5% experienced significant cardiac rhythmic events.
  • Univariate analysis linked structural heart disease, ECG abnormalities, and left ventricular ejection fraction (LVEF) to events.
  • Multivariate analysis identified ECG abnormality as the only independent predictor of events (10.6% risk in this subset).

Conclusions:

  • An electrocardiogram (ECG) abnormality is the sole independent predictor of significant arrhythmic events in patients with a single episode of syncope and negative EPS.
  • This finding is crucial for risk assessment in unexplained syncope cases.
Abstract

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