Out of Sequence Liver Transplants: A Nationwide Analysis of Organ Utilization and Allocation Equity

Introduction: Deceased donor liver allocation typically follows a ranked matchrun of potential recipients, but organ procurement organizations (OPOs) may deviate in exceptional circumstances with "out-of-sequence" (OOS) matches.We aimed to evaluate trends and factors associated with OOS matches.Methods:All donor match-runs in the U.S. (1/1/2013-12/31/2023) from the Potential Transplant Recipient (PTR) data were analyzed.OOS allocations were identifi ed by bypass reasons: (861) Operational OPO, (862) Donor medical urgency, (863) Off er not made due to expedited placement.A hierarchical mixed-eff ects model with transplant centers (TCs) nested in OPOs was used to assess factors associated with OOS allocation.Results:From 2013 to 2023, there were 93,409 liver transplants (LTs), 4,792 (5.1%) were OOS allocations.Over time, the percent of LTs resulting from OOS matches increased from 2.0% (n=135 of 6703) in 2013 to 11.0% (n=770 of 6993) in 2023 (Figure 1A).Nearly one-quarter of OOS LTs (24.5%, n=1,172) occurred at fi ve TCs and just over a quarter of OOS liver transplants were allocated from fi ve OPOs (25.8%, n=1237).There was signifi cant variation in use of OOS LTs between TCs (minimum: 0.1% (n=1 of 588), maximum: 21.2% (n=134 of 631)) and OPOs (minimum: 0.9% (n=13 of 1449), maximum: 13.9% (n=134 of 960)); Figure 2.This variation in OOS LT rate was not correlated with OPO organ utilization rate (R 2 <0.01),OPO LT volume (R 2 =0.02), or TC LT volume (R 2 =0.07) (Figure 1B-D).On hierarchical mixed eff ects model, White recipients (OR 1.21, 95% CI 1.05-1.42)and recipients from socially advantaged neighborhoods (SVI>0.8,OR 1.12, 1.02-1.23)were more likely to receive OOS LT despite controlling for confounding allocation factors (Table 1).The conditional and marginal R 2 were 0.548 and 0.256 respectively, indicating ~53% of the explained variation in OOS use was secondary to OPOs and TC practices, rather than donor or recipient factors.Conclusions:OOS LTs are increasingly frequent, with signifi cant variability across OPO's and TCs.OOS were not correlated with increased organ utilization at an OPO-level but were associated with disparities in race and socioeconomic status, emphasizing the need for equitable OOS allocation practices.

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Publication Details

Journal
American Journal of Transplantation
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ajt.2024.12.021
Citations
1
Primary Topic
Organ Transplantation Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
2.01
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article

Out of Sequence Liver Transplants: A Nationwide Analysis of Organ Utilization and Allocation Equity

Chase J. Wehrle, Federico Aucejo, Glenn K. Wakam, Kumaran Shanmugarajah et al.
1 citations
American Journal of Transplantation
Organ Transplantation Techniques and Outcomes
2.01
article

Out of Sequence Liver Transplants: A Nationwide Analysis of Organ Utilization and Allocation Equity

Chase J. Wehrle, Federico Aucejo, Glenn K. Wakam, Kumaran Shanmugarajah, Jaekeun Kim, Charles Miller, Masato Fujiki, Abby Gross, Alejandro Pita, Andrea Schlegel, Federico Aucejo David Kwon
article en
1 citations

Abstract

Introduction: Deceased donor liver allocation typically follows a ranked matchrun of potential recipients, but organ procurement organizations (OPOs) may deviate in exceptional circumstances with "out-of-sequence" (OOS) matches.We aimed to evaluate trends and factors associated with OOS matches.Methods:All donor match-runs in the U.S. (1/1/2013-12/31/2023) from the Potential Transplant Recipient (PTR) data were analyzed.OOS allocations were identifi ed by bypass reasons: (861) Operational OPO, (862) Donor medical urgency, (863) Off er not made due to expedited placement.A hierarchical mixed-eff ects model with transplant centers (TCs) nested in OPOs was used to assess factors associated with OOS allocation.Results:From 2013 to 2023, there were 93,409 liver transplants (LTs), 4,792 (5.1%) were OOS allocations.Over time, the percent of LTs resulting from OOS matches increased from 2.0% (n=135 of 6703) in 2013 to 11.0% (n=770 of 6993) in 2023 (Figure 1A).Nearly one-quarter of OOS LTs (24.5%, n=1,172) occurred at fi ve TCs and just over a quarter of OOS liver transplants were allocated from fi ve OPOs (25.8%, n=1237).There was signifi cant variation in use of OOS LTs between TCs (minimum: 0.1% (n=1 of 588), maximum: 21.2% (n=134 of 631)) and OPOs (minimum: 0.9% (n=13 of 1449), maximum: 13.9% (n=134 of 960)); Figure 2.This variation in OOS LT rate was not correlated with OPO organ utilization rate (R 2 <0.01),OPO LT volume (R 2 =0.02), or TC LT volume (R 2 =0.07) (Figure 1B-D).On hierarchical mixed eff ects model, White recipients (OR 1.21, 95% CI 1.05-1.42)and recipients from socially advantaged neighborhoods (SVI>0.8,OR 1.12, 1.02-1.23)were more likely to receive OOS LT despite controlling for confounding allocation factors (Table 1).The conditional and marginal R 2 were 0.548 and 0.256 respectively, indicating ~53% of the explained variation in OOS use was secondary to OPOs and TC practices, rather than donor or recipient factors.Conclusions:OOS LTs are increasingly frequent, with signifi cant variability across OPO's and TCs.OOS were not correlated with increased organ utilization at an OPO-level but were associated with disparities in race and socioeconomic status, emphasizing the need for equitable OOS allocation practices.

American Journal of TransplantationVol. 25(1)
Openalex Percentile: Top 20%
Organ Transplantation Techniques and Outcomes
2.01
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