Maggie E Jones-Carr, Hiren Dayala, M Chandler McLeod, Paul MacLennan, Saulat Sheikh, M Umaid Rabbani, Marcos E Pozo, Sergio A Acuna, Juliet Emamaullee, David Goldberg, Robert M Cannon
{"title":"Geographic variation in utilization of deceased donor livers in the United States in the era of advanced perfusion.","authors":"Maggie E Jones-Carr, Hiren Dayala, M Chandler McLeod, Paul MacLennan, Saulat Sheikh, M Umaid Rabbani, Marcos E Pozo, Sergio A Acuna, Juliet Emamaullee, David Goldberg, Robert M Cannon","doi":"10.1097/LVT.0000000000000687","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding the geographic variation in deceased donor liver utilization can guide allocation policy and technology implementation. Using US transplant registry data, we evaluated geographic differences in utilization by donor quality, policy era, and uptake of advanced perfusion (AP). This retrospective cohort included all liver donors and waitlisted patients from 2010 to Sept. 2024. Donors were aggregated by Hospital Referral Region (HRR) and stratified by quality using the liver discard risk index (DSRI). Exposures included allocation policy era and increased use of AP technology (July 2022-onward). Observed to expected (O:E) ratios of liver non-utilization were calculated by HRR and modeled to reveal geographically contiguous Low Utilization Clusters (LUCs). The proportion of HRRs within LUCs increased from 24% in Share 15 (S15), to 25% in Share 35 (S35), 32% in Acuity Circles (AC), then decreased to 21% in the AP era ( p =0.01). There were 7 distinct LUCs in S15 (median non-utilization=33%), 7 LUCs in S35 (non-utilization=32%), 7 LUCs in AC (non-utilization=41%), and 3 LUCs in the AP era (non-utilization=46%). Donor quality by HRR decreased over time, with a median DSRI of 2.56 (IQR: 1.25-5.79) in S15 to 5.69 (2.01-35.30) in AP ( p <0.001). Accounting for DSRI, odds of non-utilization were highest in AC ( ref. Share 35 , OR=1.27, p <0.001), which decreased in AP (OR=1.06, p =0.001). Utilization of normothermic machine perfusion was associated with a markedly lower odds of discard (OR=0.03, 0.03-0.04; p <0.001). Livers originating from LUCs traveled shorter distances in each era other than S35. The number of net exporter HRRs in LUCs was equivalent to non-LUCs in each era other than AP, where LUCs contained fewer net exporter HRRs (2 [3.2%] vs. 42 [17.4%], p =0.004). On adjusted analysis, candidates in LUCs had lower likelihood of transplant (HR=0.88, p <0.001) but also lower waitlist mortality (HR=0.95, p <0.001). The advent of advanced perfusion was associated with utilization of otherwise marginal liver allografts and ameliorating geographic imbalances in discard seen with successive allocation policy eras.</p>","PeriodicalId":520704,"journal":{"name":"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/LVT.0000000000000687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the geographic variation in deceased donor liver utilization can guide allocation policy and technology implementation. Using US transplant registry data, we evaluated geographic differences in utilization by donor quality, policy era, and uptake of advanced perfusion (AP). This retrospective cohort included all liver donors and waitlisted patients from 2010 to Sept. 2024. Donors were aggregated by Hospital Referral Region (HRR) and stratified by quality using the liver discard risk index (DSRI). Exposures included allocation policy era and increased use of AP technology (July 2022-onward). Observed to expected (O:E) ratios of liver non-utilization were calculated by HRR and modeled to reveal geographically contiguous Low Utilization Clusters (LUCs). The proportion of HRRs within LUCs increased from 24% in Share 15 (S15), to 25% in Share 35 (S35), 32% in Acuity Circles (AC), then decreased to 21% in the AP era ( p =0.01). There were 7 distinct LUCs in S15 (median non-utilization=33%), 7 LUCs in S35 (non-utilization=32%), 7 LUCs in AC (non-utilization=41%), and 3 LUCs in the AP era (non-utilization=46%). Donor quality by HRR decreased over time, with a median DSRI of 2.56 (IQR: 1.25-5.79) in S15 to 5.69 (2.01-35.30) in AP ( p <0.001). Accounting for DSRI, odds of non-utilization were highest in AC ( ref. Share 35 , OR=1.27, p <0.001), which decreased in AP (OR=1.06, p =0.001). Utilization of normothermic machine perfusion was associated with a markedly lower odds of discard (OR=0.03, 0.03-0.04; p <0.001). Livers originating from LUCs traveled shorter distances in each era other than S35. The number of net exporter HRRs in LUCs was equivalent to non-LUCs in each era other than AP, where LUCs contained fewer net exporter HRRs (2 [3.2%] vs. 42 [17.4%], p =0.004). On adjusted analysis, candidates in LUCs had lower likelihood of transplant (HR=0.88, p <0.001) but also lower waitlist mortality (HR=0.95, p <0.001). The advent of advanced perfusion was associated with utilization of otherwise marginal liver allografts and ameliorating geographic imbalances in discard seen with successive allocation policy eras.