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Effect of Pediatric Heart Transplant Waitlist Inactivation on Waitlist and Posttransplant Outcomes
Dean S Karahalios1,2, Christina Laternser3, Philip Thrush2
1Division of Pediatric Cardiology, University of Wisconsin-Madison American Family Children's Hospital, Madison, Wisconsin, USA.
Background:
Little is known about pediatric heart transplant candidates facing waitlist inactivation. We characterized them and assessed the impact of inactivation on waitlist and transplant outcomes.
Methods:
The Organ Procurement and Transplantation Network database was queried for pediatric heart-only transplant candidates. Characteristics, waitlist mortality, and 1-year posttransplant survival between inactivated and non-inactivated patients were compared. Predicted probability for the composite outcome of waitlist mortality or removal due to clinical deterioration over time was computed.
Results:
Of 5202 patients, 1716 (33%) were inactivated, mostly due to temporary illness (58%). Reasons for inactivation varied by age but not diagnosis. Inactivated patients had longer waitlist duration (171 [77-391] vs. 62 [21-144], p < 0.001), more congenital heart disease (61.0% vs. 55.2%, p < 0.001), and were more often supported by ventricular assist device (47.9% vs. 32.9%, p < 0.001) and invasive ventilation at listing (19.9% vs. 13.6%, p < 0.001). Inactivated patients were less likely listed Status 1A (56.8% vs. 62.3%, p < 0.001) and less likely under intensive care at transplant (43.9% vs. 50.2%, p < 0.001). Inactivated patients had higher 1-year waitlist mortality and removal due to clinical deterioration (SHR 4.40 [3.72-5.20], p < 0.001), though this risk decreased with longer inactive time. One-year posttransplant survival was similar between groups.
Conclusions:
Waitlist inactivation was strongly associated with 1-year waitlist mortality and removal due to clinical deterioration. However, this risk decreased with longer inactive time and made no difference in short-term posttransplant survival. Thus, the prognostic implications of inactivation are dynamic and can inform future donor allocation policy development.
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