Abstract 4370407: Impact of Donor and Recipient Risk Matching on Survival After Pediatric Heart Transplantation

Background: Pediatric heart transplantation (HT) is limited by donor numbers and graft quality, although recipient clinical acuity may have the greatest impact on post-HT survival. Increasingly, more marginal donors are being used with reasonable outcomes, but often these are implanted into the sickest recipients. If acceptance of higher risk donors could provide excellent post-HT outcomes for low-risk recipients, then this could improve utilization of marginal donors while also increasing availability of lower risk donors for high-risk recipients. Methods: A retrospective cohort analysis of the Pediatric Heart Transplant Society (PHTS) database was performed for all pediatric (age <18 years) patients (n=5920) undergoing primary HT from 1/1/2010−6/30/2024. Separate donor and recipient risk scores were developed using multivariable multiphase parametric hazard modeling. Patients were stratified into low-, medium-, or high-risk categories for each donor-recipient pair, according to tertiles of the predicted 1-year survival estimates from the risk models. Results: Overall, 1-year post-HT survival was 92%. Donor risk factors included age <3 vs 3-17 years (HR 1.74), oversized height vs well-matched (HR 1.97) and head trauma as cause of death (HR 0.69) (p<0.05 for all). Recipient risk factors included congenital heart disease (HR 3.91), age (HR 0.98), panel reactive antibodies >10% (HR 1.46), waitlist interval (HR 1.16), renal dysfunction (HR 1.87), induction therapy (HR 0.69), ventilator (HR 1.46), extracorporeal membrane oxygenation (HR 3.65), and any ventricular assist device (HR 1.66) at time of HT (p<0.05 for all). Low-risk recipients tended to be matched with low- or medium-risk donors, while high-risk recipients tended to be matched with medium- or high-risk donors (Table 1). Low-risk recipients had similar 1-year survival regardless of donor risk, while high-risk recipients had worst 1-year survival with medium- or high-risk donors (Figure 1). Conclusion: Recipient risk profile has a greater impact on 1-year graft survival compared to donor risk. For low-risk recipients, donor risk profile has less impact on survival. By increasing the use of marginal donor organs for low-risk recipients and thereby increasing availability of low-risk organs for the sickest recipients, it may be possible to decrease waitlist mortality and improve post-HT outcomes for the entire cohort.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4370407
Primary Topic
Transplantation: Methods and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4370407: Impact of Donor and Recipient Risk Matching on Survival After Pediatric Heart Transplantation

Melodie M. Lynn, Madeleine Townsend, E. Profita, Heang M. Lim et al.
Circulation
Transplantation: Methods and Outcomes
article

Abstract 4370407: Impact of Donor and Recipient Risk Matching on Survival After Pediatric Heart Transplantation

Melodie M. Lynn, Madeleine Townsend, E. Profita, Heang M. Lim, Ryan S. Cantor, Devin Koehl, James K. Kirklin, Elyse Miller, Sabena Hussain, Jacob Simmonds, Jennifer Conway, Neha M. Bansal
article en

Abstract

Background: Pediatric heart transplantation (HT) is limited by donor numbers and graft quality, although recipient clinical acuity may have the greatest impact on post-HT survival. Increasingly, more marginal donors are being used with reasonable outcomes, but often these are implanted into the sickest recipients. If acceptance of higher risk donors could provide excellent post-HT outcomes for low-risk recipients, then this could improve utilization of marginal donors while also increasing availability of lower risk donors for high-risk recipients. Methods: A retrospective cohort analysis of the Pediatric Heart Transplant Society (PHTS) database was performed for all pediatric (age <18 years) patients (n=5920) undergoing primary HT from 1/1/2010−6/30/2024. Separate donor and recipient risk scores were developed using multivariable multiphase parametric hazard modeling. Patients were stratified into low-, medium-, or high-risk categories for each donor-recipient pair, according to tertiles of the predicted 1-year survival estimates from the risk models. Results: Overall, 1-year post-HT survival was 92%. Donor risk factors included age <3 vs 3-17 years (HR 1.74), oversized height vs well-matched (HR 1.97) and head trauma as cause of death (HR 0.69) (p<0.05 for all). Recipient risk factors included congenital heart disease (HR 3.91), age (HR 0.98), panel reactive antibodies >10% (HR 1.46), waitlist interval (HR 1.16), renal dysfunction (HR 1.87), induction therapy (HR 0.69), ventilator (HR 1.46), extracorporeal membrane oxygenation (HR 3.65), and any ventricular assist device (HR 1.66) at time of HT (p<0.05 for all). Low-risk recipients tended to be matched with low- or medium-risk donors, while high-risk recipients tended to be matched with medium- or high-risk donors (Table 1). Low-risk recipients had similar 1-year survival regardless of donor risk, while high-risk recipients had worst 1-year survival with medium- or high-risk donors (Figure 1). Conclusion: Recipient risk profile has a greater impact on 1-year graft survival compared to donor risk. For low-risk recipients, donor risk profile has less impact on survival. By increasing the use of marginal donor organs for low-risk recipients and thereby increasing availability of low-risk organs for the sickest recipients, it may be possible to decrease waitlist mortality and improve post-HT outcomes for the entire cohort.

CirculationVol. 152(Suppl_3)
Indiana University Health (US), Cleveland Clinic (US), University of Michigan (US), Great Ormond Street Hospital (GB), Riley Hospital for Children (US), Mount Sinai Hospital (US), Michigan United (US), Kirklin Clinic (US), Universidad San Carlos (PY), Le Bonheur Children's Hospital (US), Stollery Children's Hospital (CA), University College London (GB), Indiana University – Purdue University Indianapolis (US), The University of Texas Southwestern Medical Center (US)
Openalex Percentile: Top 50%
Transplantation: Methods and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.