Validating patient prioritization in the 2018 Revised UNOS Heart Allocation System: a single center experience

The 2018 Revised UNOS Heart Allocation System (HAS) was proposed to re-classify status 1A candidates into groups of decreasing acuity, however, does not take into account factors such as body mass index(BMI) and blood group which influence waitlist(WL) outcomes. We sought to validate patient priorit...

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Bibliographic Details
Published inClinical transplantation Vol. 34; no. 3; p. e13816
Main Authors Nayak, Aditi, Dong, Tiffany, Ko, Yi-An, Chesnut, Neile, Pekarek, Ann, Cole, Robert T., Bhatt, Kunal, Gupta, Divya, Burke, Michael A., Laskar, S. Raja, Attia, Tamer, Smith, Andrew L., Vega, J. David, Morris, Alanna A.
Format Journal Article
LanguageEnglish
Published 28.02.2020
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Summary:The 2018 Revised UNOS Heart Allocation System (HAS) was proposed to re-classify status 1A candidates into groups of decreasing acuity, however, does not take into account factors such as body mass index(BMI) and blood group which influence waitlist(WL) outcomes. We sought to validate patient prioritization in the new HAS at our center. We retrospectively evaluated patients listed for HT (n=214) at Emory University Hospital from 2011–17. Patients were re-classified into the 6-tier HAS. Multi-state modeling and competing risks analysis were used to compare outcomes of transplantation and WL death/deterioration between new tiers. Additionally, a stratified sensitivity analysis by BMI and blood group was performed. Compared with tier 4 patients, there was progressively increasing hazard of WL death/deterioration in tier 3 (HR: 2.52, 95% CI: 1.37 – 4.63, p=0.003) and tier 2 (HR: 5.03, 95% CI: 1.99 – 12.70, p<0.001), without a difference in transplantation outcome. When stratified by BMI and blood group, this hierarchical association was not valid in patients with BMI ≥ 30 kg/m 2 , and non-O blood groups in our cohort. Therefore, the 2018 HAS accurately prioritizes the sickest patients in our cohort. Factors such as BMI and blood group influence this relationship, and iterate that the system can be further refined.
ISSN:0902-0063
1399-0012
DOI:10.1111/ctr.13816