Long-term outcome after heart transplantation predicted by quantitative myocardial blush grade in coronary

N P Hofmann1, A Voss, H Dickhaus

  • 1Department of Cardiology, University of Heidelberg, Heidelberg, Germany. nina.hofmann@med.uni-heidelberg.de

Insights

Quantifying myocardial blush grade (MBG) during surveillance coronary angiography predicts long-term outcomes after heart transplantation (HT). This method offers a robust prediction of cardiac death and events, improving patient management.

Area of Science:

  • Cardiology
  • Transplantation Medicine
  • Medical Imaging

Background:

  • Cardiac allograft vasculopathy (CAV) is a major cause of long-term graft failure after heart transplantation (HT).
  • Early detection and prediction of adverse events are crucial for improving patient outcomes post-HT.

Purpose of the Study:

  • To investigate if quantifying myocardial blush grade (MBG) during surveillance coronary angiography can predict long-term outcomes in heart transplant recipients.
  • To assess the association between MBG and cardiac allograft vasculopathy (CAV) and subsequent cardiac events.

Main Methods:

  • A prospective cohort study of 105 heart transplant recipients undergoing surveillance coronary angiography.
  • Myocardial blush grade (MBG) was quantified using G(max)/T(max) (contrast agent gray-level intensity plateau divided by time-to-peak intensity).
  • Cardiac allograft vasculopathy (CAV) was assessed visually using ISHLT criteria; myocardial perfusion index by cardiac MRI was assessed in a subgroup.

Main Results:

  • During a mean follow-up of 2.7 years, 26 patients experienced cardiac events, including 7 cardiac deaths and 19 revascularizations.
  • Quantified MBG (G(max)/T(max)) correlated with CAV and subsequent cardiac events.
  • Multivariable analysis showed G(max)/T(max) robustly predicted cardiac death (HR=0.2) and cardiac events (HR=0.52), independent of clinical factors and CAV presence.

Conclusions:

  • Quantified myocardial blush grade (G(max)/T(max)) is a valuable surrogate marker of microvascular integrity after heart transplantation.
  • This parameter provides a robust prediction of cardiac death and revascularization procedures, aiding in long-term patient management.

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