Influence of aging and chronic heart failure on temporal dispersion of myocardial repolarization

Clin Interv Aging. 2013:8:293-300. doi: 10.2147/CIA.S41879. Epub 2013 Mar 10.

Abstract

Background and purpose: QT and T(peak)-T(end) (Te) intervals are associated with sudden cardiac death in patients with chronic heart failure (CHF). We studied age-dependent influence on short-term temporal dispersion of these two variables in patients with postischemic CHF.

Method: We grouped 75 CHF and 53 healthy control subjects into three age subsets: ≤ 50 years, >50 years and ≤ 65 years, and >65 years. We then calculated the following indices: QT and Te variability index (QTVI and TeVI), the ratio between the short-term variability (STV) of QT or Te, and the STV of resting rate (RR) (QT/RR STV and Te/RR STV).

Results: In all different age subgroups, patients with CHF showed a higher level of QTVI than age-matched control subjects (≤ 50 years: P < 0.0001; >50 years and ≤ 65 years: P < 0.05; >65 years: P < 0.05). Patients with CHF < 50 years old also had all repolarization variability indices higher than normal age-matched controls (TeVI, P < 0.05; QT/RR STV, P < 0.05; Te/RR STV, P < 0.05), whereas we did not find any difference between the two older classes of subjects. Both QTVI (r²: 0.178, P < 0.05) and TeVI (r²: 0.433, P < 0.001) were positively related to age in normal subjects, even if the first correlation was weaker than the second one.

Conclusion: Our data showed that QTVI could be used in all ages to evaluate repolarization temporal liability, whereas the other indices are deeply influenced by age. Probably, the age-dependent increase in QTVI was more influenced by a reduction of RR variability reported in older normal subjects.

Keywords: QT variability; aging; chronic heart failure; heart rate variability; sudden death.

MeSH terms

  • Age Factors
  • Aged
  • Analysis of Variance
  • Case-Control Studies
  • Chi-Square Distribution
  • Chronic Disease
  • Death, Sudden, Cardiac / etiology*
  • Electrocardiography
  • Female
  • Heart
  • Heart Failure / complications*
  • Heart Failure / physiopathology*
  • Humans
  • Male
  • Middle Aged
  • Signal Processing, Computer-Assisted
  • Software
  • Statistics, Nonparametric