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Updated: May 9, 2026

Implantation of Total Artificial Heart in Congenital Heart Disease
Published on: July 18, 2014
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.
Objective(S):
Previous studies have shown that individual risk factors are poor predictors of mortality after heart transplantation in patients with congenital heart disease. We developed composite risk factor groups to better predict mortality after cardiac transplantation.
Methods:
We conducted a cross-sectional retrospective analysis of all heart transplants performed for congenital heart disease at a single congenital heart transplant center between 1996 and 2011. Patient, procedural, and hospital course data were obtained through a review of medical records. Univariate analyses were performed using the Fisher exact test for categorical data and the Mann-Whitney U test for continuous variables. Overall mortality was examined using Kaplan-Meier estimates for univariate analysis and Cox regression analysis for multivariate analysis. A comparison of patients with functional single ventricles (SVs) versus biventricular (BV) hearts was performed. Mean follow-up duration for the whole group was 51 ± 43 months (median, 43 months).
Results:
Forty-six patients underwent heart transplantation during the study period. Mean age at transplant was 9.0 ± 9.1 years; 45% (n = 21) were in the SV group and 55% (n = 25) were in the BV group. The SV group had significantly more previous sternotomies (P = .006) and longer bypass times (266 ± 78 vs 207 ± 64 minutes; P = .001). High panel-reactive antibody levels (>10%) were also more common in the SV group (38% vs 13%; P = .08). Overall hospital mortality was 4.3% (n = 2, both SVs). There was no significant difference in operative mortality (10% SV vs 0% BV; P = .20) or major morbidity (33% SV vs 44% BV; P = .51) between the 2 groups. High-risk groups identified by univariate analysis were patients with an SV diagnosis + dialysis (P < .0005), SV + mechanical assist device (VAD)/extracorporeal membrane oxygenation (ECMO) (P = .026), or VAD/ECMO + renal insufficiency (P = .006)/VAD/ECMO + dialysis (P < .0005), and SV + reoperation (P = .016). By multivariate analysis, preoperative renal insufficiency (P = .038) and the composite SV + dialysis (P = .005) were predictors of overall mortality. Although survival at 2 years was lower in the SV cohort (73% vs 96%; P = .16), this benefit was not apparent (63% vs 69%) at late follow-up.
Conclusions:
Preoperative renal insufficiency and SV + dialysis are strong predictors of overall mortality and identify high-risk congenital heart transplant recipients. Although individual risk factors may not predict survival, a composite of factors may be more useful in identifying the high-risk recipient.
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