Key result
Heart transplant candidates with status exceptions show ~5-point lower US-CRS risk scores than standard candidates.
Why the study?
The study assessed whether the US-candidate risk score (US-CRS) accurately assigns mortality risk for heart transplant candidates with exceptions, and whether the alignment of allocation priority with waitlist mortality risk differs between candidates with and without exceptions.
Does the US-candidate risk score (US-CRS) accurately predict waitlist mortality risk in heart transplant candidates with status exceptions, and how does predicted mortality risk compare between candidates listed with and without exceptions?
Cohort (n=4,480)
Yes
Does the US-candidate risk score (US-CRS) accurately predict waitlist mortality risk in heart transplant candidates with status exceptions, and how does predicted mortality risk compare between candidates listed with and without exceptions?
The US-CRS accurately predicts waitlist mortality in heart transplant candidates with exceptions and reveals that over one-third of Status 1 and 2 exception candidates have relatively low predicted mortality risk (<40), supporting the transition to a continuous allocation framework.
Answers are grounded in this paper and cite their sources.
Exception candidates in Status 1/2 had lower predicted risk; leaves open whether continuous allocation better aligns priority with mortality.
Background The US-candidate risk score (US-CRS) predicts waitlist mortality among heart transplant candidates using seven laboratory, cardiovascular, and cardiac device usage variables on a 50-point scale, with higher scores indicating greater mortality risk. We assessed whether US-CRS accurately assigns mortality risk for exception candidates, and whether the alignment of allocation priority with waitlist mortality risk (US-CRS) differs between candidates with and without exceptions. Methods We compared the performance of US-CRS in candidates with and without exceptions using receiver operating curves. We compared US-CRS distributions using the Kolmogorov-Smirnov (KS) test and examined the proportion of candidates below specific score thresholds in each group. We also compared candidates with and without exceptions using Wilcoxon Rank-Sum test for continuous variables and Pearson's Chi-squared test or Fisher exact test for categorical variables. Results US-CRS is accurate for measuring mortality risk among exception candidates as it is among non-exception candidates. Patients with higher waitlist status had higher median US-CRS. However, the median US-CRS of Status 1 candidates without exceptions (50 [IQR 48-50]) was significantly higher than for candidates with exceptions (45 [36–48]; ( p ≤ 0.05 )), and similarly for Status 2 (46 [41–49] vs. 42 [32–47]; ( p ≤ 0.05 )). Notably, 33.13% of Status 1 and 41.28% of Status 2 candidates with exceptions had US-CRS below 40, compared to only 1.84% and 19.20% of candidates without exceptions, respectively. Conversely, among candidates in Status 3 and 4, candidates with exceptions generally had higher US-CRS than candidates without exceptions. Conclusions Allocation priority under the status system does not align with estimated mortality risk; misalignment is greater for candidates with exceptions. While some exception candidates in Status 1 and 2 do have high estimated mortality risk and legitimately need exceptions, many of these exceptions appear to have been granted to candidates with relatively low medical urgency.
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Fatma et al. (2026) conducted a cohort in Adult heart transplant candidates on the waitlist (n=4,480). Waitlist status listing by approved exception request vs. Standard-criteria waitlist status listing without exceptions was evaluated on Median US-candidate risk score (US-CRS) in Status 1 candidates (p=<0.001). Heart transplant candidates with exceptions had significantly lower median US-CRS scores than standard-criteria candidates in Status 1 (45 vs 50, p<0.001) and Status 2 (42 vs 46, p<0.001).
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