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[One-year observation of QT and corrected QT interval dispersion in patients with myocardial infarction]

Małgorzata Kobusiak-Prokopowicz1, Beata Jołda-Mydłowska, Marta Negrusz-Kawecka

  • 1Katedra i Klinika Kardiologii Akademii Medycznej we Wrocławiu.

Przeglad Lekarski
|August 28, 2003
PubMed

Insights

QT and corrected QT interval dispersion (QTd and QTcd) did not predict ventricular arrhythmia in myocardial infarction (MI) patients over one year. Thrombolytic treatment influenced QTcd trends, showing a decrease over time.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Clinical Research

Context:

  • Myocardial infarction (MI) poses a significant risk for ventricular arrhythmias.
  • Assessing cardiac repolarization abnormalities, such as QT interval dispersion (QTd and QTcd), is crucial for risk stratification in MI patients.
  • Understanding the prognostic value of QTd and QTcd in predicting arrhythmias is essential for patient management.

Purpose:

  • To investigate whether QT and corrected QT interval dispersion (QTd and QTcd) predict ventricular arrhythmia over a one-year follow-up period in myocardial infarction (MI) patients.
  • To analyze the trends of QTd and QTcd in different patient subgroups based on sex, MI location, and thrombolytic treatment.
  • To determine the correlation between QTd, QTcd, and non-sustained ventricular tachycardia.

Summary:

  • The study involved 36 MI patients (22 men, 14 women) and 15 healthy controls, with ECG and Holter monitoring over 12 months.
  • Initially, QTd and QTcd were elevated in MI patients regardless of sex, location, or treatment.
  • QTcd significantly decreased over time in patients receiving thrombolytic therapy, unlike in those not treated. No correlation was found between QTd, QTcd, and non-sustained ventricular tachycardia.

Impact:

  • QTd and QTcd do not appear to be independent predictors of ventricular arrhythmia in MI patients within a one-year timeframe.
  • Thrombolytic therapy may influence the normalization of QTcd in MI patients.
  • Further research may be needed to explore other electrophysiological markers for arrhythmia prediction in MI.

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