Abstract
Tp-Te interval refers to the duration from the peak to the end time points of T wave in electrocardiogram. Tp-Te interval is an electrocardiogram index reflecting mail-gnant ventricular arrhythmia, while Tp-Te interval mainly reflects ventricular transmural repolarization dispersion. The increase of ventricular transmural repolarization dispersion makes it easy to appear depolarization after repolarization, and forms functional conduction block between different regions, which leads to malignant arrhythmias. In this review we discuss how these markers have demonstrated to be effective to predict malignant arr- hythmias in medical conditions such as long and short QT syndromes, Brugada syndrome and so on. However, the same results have not been found in all conditions. Further studies are needed to reach a global consensus in order to incorporate these VR parameters in risk stratification of these patients.
Highlights
An electrocardiogram (ECG) represents one of the most common medical tools used by physicians in clinical practice
The Tp-Te interval cannot be equated with ventricular transmural repolarization dispersion, but it can reflects the cardiac transmural repolarization and the global repolarization dispersion
The increase of the ventricular transmural repolarization dispersion is an important mechanism of the ventricular arrhythmias
Summary
An electrocardiogram (ECG) represents one of the most common medical tools used by physicians in clinical practice. Sudden cardiac death (SCD) causes approximately 800000 deaths each year in the world [1]. It is often produced by malignant ventricular arrhythmias (MVA). It is often possible to predict the development of ventricular cardiac arrhythmias by ECG analysis in these patients. That is feasible by analysing several ventricular repolarization (VR) markers such as Tp-Te interval The aim of this manuscript is to review the usefulness of Tp-Te interval to predict SCD in several conditions such as long and short QT syndromes, Brugada syndrome, early repolarization syndrome, acute myocardial ischemia, heart failure, hypertension, diabetes mellitus, obesity and high trained athletes and the possible mechanisms involved in order to encourage their clinical use to improve patients’ risk evaluation
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