Prognostic value of the QTc interval after cardiac transplantation

J Heart Lung Transplant. 2006 Jan;25(1):29-35. doi: 10.1016/j.healun.2005.05.004. Epub 2005 Nov 18.

Abstract

Background: Although QTc interval prolongation is considered a risk factor for adverse outcome in the non-transplant population, its predictive value in heart transplant recipients has not been studied yet. This study was conducted to determine whether prolonged QTc interval is a useful predictor of outcome in heart transplant recipients.

Methods: QTc intervals were measured in 587 adult patients who underwent heart transplantation between May 1982 and January 2002. QT interval duration was determined by averaging 3 consecutive beats in all 12 leads of the standard electrocardiogram (ECG) and corrected with the Bazett formula. Baseline ECGs were obtained within 7 days after transplantation; follow-up ECGs were recorded annually at the time of routine angiography. Patients were followed over 85 +/- 65 months (range, 3 months-17 years).

Results: During follow-up, 241 patients died. The mean QTc interval duration in these patients was comparable with that in the remaining cohort (432 +/- 26 msec vs 423 +/- 25 msec, p = 0.07). However, patients with a relative increase in QTc duration of >or=10% between the first and second post-transplantation year (DeltaQTc >or= 10%) had a 6.86-times higher risk of dying compared with patients with DeltaQTc < 10% (p = 0.0005). Furthermore, DeltaQTc >or= 10% was the only independent predictor of long-term mortality on multivariate analysis (p = 0.0008).

Conclusions: A relative increase in QTc interval duration of >or=10% between the first and second post-transplantation year is a strong, independent predictor of mortality in heart transplant recipients.

MeSH terms

  • Adult
  • Death, Sudden, Cardiac
  • Electrocardiography
  • Female
  • Follow-Up Studies
  • Heart Diseases / surgery
  • Heart Transplantation*
  • Humans
  • Long QT Syndrome*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prognosis
  • Retrospective Studies
  • Survival Analysis
  • Time Factors