Usefulness of short-term variability of QT intervals as a predictor for electrical remodeling and proarrhythmia in patients with nonischemic heart failure

Martin Hinterseer, Britt-Maria Beckmann, Morten Bækgaard Thomsen, Arne Pfeufer, Michael Ulbrich, Moritz F Sinner, Siegfried Perz, H-Erich Wichmann, Csaba Lengyel, Rainer Schimpf, Sebastian K G Maier, András Varró, Marc A Vos, Gerhard Steinbeck, Stefan Kääb

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Abstract

The high incidence of sudden cardiac death in heart failure (HF) reflects electrophysiologic changes in response to myocardial failure. We previously showed that short-term variability of QT intervals (STV(QT)) identifies latent repolarization disorders in patients with drug-induced or congenital long QT syndrome. This study sought to determine (1) if STV(QT) is increased in patients with dilated cardiomyopathy (DC) and moderate congestive HF and (2) if increased STV(QT) is associated with ventricular arrhythmia in patients with HF. Sixty patients (53 +/- 12 years of age, 14 women) with DC and moderate HF (New York Heart Association classes II to III) were compared to matched controls. Twenty patients had implantable cardiac defibrillators secondary to a history of ventricular tachycardia (VT). Two cardiologists blinded to diagnosis manually measured QT intervals. Beat-to-beat variability of repolarization was determined from Poincaré plots of 30 consecutive QT intervals as was STV(QT). QTc intervals were comparable in patients and controls (419 +/- 36 vs 415 +/- 32 ms, respectively, p >0.05), whereas STV(QT) was significantly higher in patients with HF (7.8 +/- 3 vs 4.1 +/- 2 ms, respectively, p
Original languageEnglish
JournalJournal of the American College of Cardiology
Volume106
Issue number2
Pages (from-to)216-20
Number of pages5
ISSN0735-1097
DOIs
Publication statusPublished - 15 Jul 2010

Keywords

  • Adult
  • Aged
  • Arrhythmias, Cardiac
  • Cardiac Electrophysiology
  • Electrocardiography
  • Female
  • Heart Failure
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Severity of Illness Index

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