Composite risk factors predict survival after transplantation for congenital heart disease

Minoo N Kavarana1, Andrew Savage, Robert O'Connell

  • 1Division of Cardiothoracic Surgery, Medical University of South Carolina, Charleston, SC.

Insights

Composite risk factors, including preoperative renal insufficiency and single ventricle (SV) diagnosis with dialysis, significantly predict mortality after heart transplantation in congenital heart disease patients. These combined factors offer better risk stratification than individual predictors.

Area of Science:

  • Cardiology
  • Transplantation Medicine
  • Pediatric Cardiology

Background:

  • Individual risk factors poorly predict mortality post-heart transplantation in congenital heart disease (CHD).
  • Developing composite risk factor groups can improve mortality prediction in these complex patients.

Purpose of the Study:

  • To develop and validate composite risk factor groups for predicting mortality after heart transplantation in patients with CHD.
  • To compare outcomes between patients with functional single ventricles (SVs) and biventricular (BV) hearts.

Main Methods:

  • Retrospective analysis of heart transplants for CHD (1996-2011) at a single center.
  • Univariate and multivariate analyses (Kaplan-Meier, Cox regression) to identify mortality predictors.
  • Comparison of SV versus BV groups, including pre-transplant characteristics and outcomes.

Main Results:

  • Forty-six heart transplants were performed; 45% in the SV group, 55% in the BV group.
  • SV group had more sternotomies, longer bypass times, and higher panel-reactive antibody levels.
  • Preoperative renal insufficiency and the composite SV + dialysis were significant predictors of overall mortality.

Conclusions:

  • Composite risk factors, particularly preoperative renal insufficiency and SV + dialysis, are strong predictors of mortality in CHD heart transplant recipients.
  • Composite risk assessment is more effective than individual factors for identifying high-risk patients.
Abstract