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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

Clinical, electrocardiographic and electrophysiological predictors of atrial fibrillation development in different

P Zecchi1, A Dello Russo, G Pelargonio

  • 1Istituto di Cardiologia, Università Cattolica del Sacro Cuore, Rome, Italy.

Annali Dell'Istituto Superiore Di Sanita
|March 14, 2002
PubMed

Insights

This review identifies clinical, electrocardiographic, and electrophysiologic predictors for atrial fibrillation development. These factors are crucial for risk stratification in various patient groups, including those with hypertension and heart failure.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Preventive Medicine

Background:

  • Atrial fibrillation (AF) is a common arrhythmia with significant morbidity.
  • Identifying predictive markers for AF development is crucial for early intervention.
  • Existing literature presents diverse predictors, necessitating a comprehensive review.

Purpose of the Study:

  • To systematically review clinical, electrocardiographic, and electrophysiologic parameters predictive of atrial fibrillation.
  • To evaluate the predictive value of these parameters across different patient populations and clinical conditions.

Main Methods:

  • Literature review of observational studies (Framingham Heart Study, Cardiovascular Health Study).
  • Analysis of electrocardiogram (ECG)-derived predictors (12-lead surface ECG, signal-averaged P-wave).
  • Evaluation of electrophysiologic predictors (atrial monophasic action potential analysis).

Main Results:

  • Clinical parameters from large cohorts provide insights into AF risk.
  • Specific ECG findings and P-wave characteristics are associated with future AF.
  • Atrial electrophysiology measurements offer additional predictive information.

Conclusions:

  • A combination of clinical, ECG, and electrophysiologic parameters can predict atrial fibrillation development.
  • These predictors hold value in patients without structural heart disease and in those with common comorbidities like hypertension and heart failure.

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