Arrhythmia risk stratification based on QT interval instability: An intracardiac electrocardiogram study

Xiaozhong Chen, Larisa Tereshchenko, Ronald D. Berger, Natalia A. Trayanova

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

BACKGROUND Experimental studies have demonstrated that unstable repolarization dynamics is a risk factor of arrhythmia. We have recently developed an algorithm to detect QT interval (QTI) instability from the clinical electrocardiogram (ECG). OBJECTIVE To develop a clinical arrhythmia risk stratification index based on the detection of QTI instability. METHODS Intracardiac ECGs were recorded at rest in 114 patients with implanted implantable cardioverter-defibrillators (ICDs). Patients were followed up until appropriate implantable cardioverter-defibrillator therapy or death occurred, whichever came first. Each ECG recording was divided into 1-minute episodes (minECGs); the instability in QTI dynamics, if any, of each minECG was detected with our algorithm. An arrhythmia risk index termed QTI instability index (QTII) was defined as the number of minECGs with unstable QTI dynamics normalized by the number of minECGs with premature activations. The performance of QTII in arrhythmia risk stratification was examined with survival analysis and was compared with other risk indices, such as the mean RR interval (RRI), the standard deviation of the RRI and the QTI, and the frequency of premature activation. We hypothesized that the index QTII, which accounts for multiple risk factors and their interdependence, performs better than indices quantifying individual arrhythmia risk factors in the stratification of arrhythmia risk. RESULTS The results of survival analysis show that QTII outperformed all other studied indices in arrhythmia risk stratification and was the only independent indicator of arrhythmia propensity in a multivariate survival model. CONCLUSION QTII is a promising arrhythmia risk stratification index.

Original languageEnglish (US)
Pages (from-to)875-880
Number of pages6
JournalHeart Rhythm
Volume10
Issue number6
DOIs
StatePublished - Jun 2013
Externally publishedYes

Fingerprint

Cardiac Arrhythmias
Electrocardiography
Implantable Defibrillators
Survival Analysis
Survival

Keywords

  • Arrhythmia
  • Implantable cardioverter-defibrillator
  • QT interval electrocardiography
  • Risk stratification
  • Sudden death

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

Cite this

Arrhythmia risk stratification based on QT interval instability : An intracardiac electrocardiogram study. / Chen, Xiaozhong; Tereshchenko, Larisa; Berger, Ronald D.; Trayanova, Natalia A.

In: Heart Rhythm, Vol. 10, No. 6, 06.2013, p. 875-880.

Research output: Contribution to journalArticle

Chen, Xiaozhong ; Tereshchenko, Larisa ; Berger, Ronald D. ; Trayanova, Natalia A. / Arrhythmia risk stratification based on QT interval instability : An intracardiac electrocardiogram study. In: Heart Rhythm. 2013 ; Vol. 10, No. 6. pp. 875-880.
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N2 - BACKGROUND Experimental studies have demonstrated that unstable repolarization dynamics is a risk factor of arrhythmia. We have recently developed an algorithm to detect QT interval (QTI) instability from the clinical electrocardiogram (ECG). OBJECTIVE To develop a clinical arrhythmia risk stratification index based on the detection of QTI instability. METHODS Intracardiac ECGs were recorded at rest in 114 patients with implanted implantable cardioverter-defibrillators (ICDs). Patients were followed up until appropriate implantable cardioverter-defibrillator therapy or death occurred, whichever came first. Each ECG recording was divided into 1-minute episodes (minECGs); the instability in QTI dynamics, if any, of each minECG was detected with our algorithm. An arrhythmia risk index termed QTI instability index (QTII) was defined as the number of minECGs with unstable QTI dynamics normalized by the number of minECGs with premature activations. The performance of QTII in arrhythmia risk stratification was examined with survival analysis and was compared with other risk indices, such as the mean RR interval (RRI), the standard deviation of the RRI and the QTI, and the frequency of premature activation. We hypothesized that the index QTII, which accounts for multiple risk factors and their interdependence, performs better than indices quantifying individual arrhythmia risk factors in the stratification of arrhythmia risk. RESULTS The results of survival analysis show that QTII outperformed all other studied indices in arrhythmia risk stratification and was the only independent indicator of arrhythmia propensity in a multivariate survival model. CONCLUSION QTII is a promising arrhythmia risk stratification index.

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