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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: Am J Transplant. 2021 May 5;21(11):3684–3693. doi: 10.1111/ajt.16614

TABLE 2.

Predictors of high-priority status listing in mixed effect logistic regression

Model 1 Model 2 Model 3
Listed in post-policy era 5.23 (4.26, 6.42) 6.35 (5.08, 7.94)
Listed in post-policy era by Pre-policy Status 1A transplant rate quartilea
 <70% 5.53 (3.89, 7.86)
 70%−75% 6.35 (4.13, 9.78)
 75%−82% 4.86 (3.27, 7.20)
 >82% 9.73b (6.67, 14.19)

Note: Values are odds ratios (95% CI), variance (95% CI), or n. Candidate-level variable coefficients and full model results, including the variances and covariances of the random effects can be found in Tables S2S4.

Model 1: Adjusted for policy period only.

Model 2: Adjusted for policy period and candidate variables.

Model 3: Adjusted for policy period, candidate variables, and OPO-level Status 1A transplant rate as quartiles, number of transplant centers in the OPO, and total number of heart transplants performed by the center in each policy periods.

a

The cut-offs correspond to the pre-policy Status 1A transplant quartiles (i.e., centers with Status 1A transplant rate lower than 70% are in the first quartile, centers with transplant rate >82% are in the highest quartile).

b

OR is significantly different from that of being listed in the post-policy era at a center with <70% of Status 1A candidates receiving a transplant in the pre-policy period, p < .01.