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Arch Cardiovasc Dis ; 116(4): 210-218, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37003914

ABSTRACT

BACKGROUND: In 2018, a cardiac allocation scheme based on an individual score considering the risk of death both on the waitlist and after heart transplantation was implemented in France. AIMS: To analyse the practical application of the pre- and post-transplant risk score in a French high-volume heart transplantation centre. METHODS: All consecutive adult patients listed for a first non-combined heart transplantation between 02 January 2018 and 30 June 2022 at our centre were included. Baseline characteristics of candidates and recipients were retrieved from the national CRISTAL registry. Both scores were calculated at listing and at transplant. RESULTS: Overall, 364 patients were included. During follow-up, 257 patients (70.6%) were transplanted, and 57 (15.6%) died or were removed from the waitlist. Post-transplant 3-month survival was 84.8%. Total bilirubin and natriuretic peptides had the most important weight in the pretransplant risk score. This score had a major impact on waitlist outcomes: quartile 1 was characterized by low access to heart transplantation (58.2%) and risk of death on the waitlist (9.9%) compared with quartile 4 (heart transplantation rate 74.1%, mortality on the waiting list>20%). According to the post-transplant risk score, a minimal number of candidates were considered ineligible for heart transplantation (<1%), but 12.4% were contraindicated to at least one donor category. The number of contraindicated donor categories had a significant impact on waitlist outcomes. Although adequately calibrated, the post-transplant score had a limited discrimination (area under the curve 0.65, 95% confidence interval 0.59-0.71). CONCLUSION: Our results highlight the major impact of pre- and post-transplantation risk scores on waitlist outcomes following the allocation scheme update.


Subject(s)
Heart Transplantation , Adult , Humans , Heart Transplantation/adverse effects , Tissue Donors , Risk Factors , France , Time Factors , Waiting Lists , Retrospective Studies
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