Dispersion of ventricular repolarization in relation to cardiovascular risk factors in hypertension

A Ciobanu1, G S Gheorghe2, M Ababei1

  • 1"Theodor Burghele" Clinical Hospital, Bucharest, Romania.

Insights

In hypertension, repolarization parameters like Tpe in lead V3 are influenced by age, gender, and glucose metabolism. Tpe in lead V3 correlates with total cardiovascular risk in essential hypertension.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Hypertension Research

Background:

  • Hypertension is a significant risk factor for sudden cardiac death, often linked to ventricular arrhythmias.
  • Increased dispersion of repolarization is a key mechanism in arrhythmogenesis.
  • Most hypertensive patients have multiple interacting cardiovascular risk factors, amplifying overall risk.

Purpose of the Study:

  • To investigate repolarization parameters (QT interval, QT dispersion, Tpeak-Tend interval (Tpe), Tpe/QT, Tpe dispersion) in mild to moderate essential hypertension.
  • To analyze the relationship between these repolarization parameters and cardiovascular risk factors.
  • To assess the correlation with total cardiovascular risk estimated by the SCORE model.

Main Methods:

  • Evaluation of 62 consecutive patients with mild to moderate essential hypertension.
  • 24-hour Holter electrocardiography monitoring.
  • Manual measurement of dispersion of repolarization parameters.

Main Results:

  • Age showed positive correlation with QT interval and inverse correlations with QT dispersion, Tpe, and Tpe/QT in lead V1.
  • Tpeak-Tend interval/QT ratio was significantly higher in men compared to women.
  • Glucose metabolism disorders were associated with increased QT and Tpe dispersion.
  • Tpe in lead V3 significantly correlated with the SCORE score.

Conclusions:

  • Repolarization parameter dispersion in hypertension is influenced by age, gender, and glucose metabolism disorders.
  • Tpeak-Tend interval in lead V3 demonstrates a correlation with overall cardiovascular risk as assessed by the SCORE model.
  • These findings highlight specific electrophysiological markers associated with risk stratification in hypertensive patients.
Abstract

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