Table 3.

Model Covariates and Coefficients for Multivariable Model of 30-Day Readmission after Liver Transplantation

Fixed-effects	Coefficient	95% CI	AIC*
Moderate IP complications (binary)	0.37	0.12, 0.62	3609.4
Valvular disease (binary)	0.53	0.16, 0.91	3603.7
Postoperative LOS (continuous)	0.01	0.00, 0.02	3604.8
Discharge destination (factor)			3599.7
Home	[Reference]
Home with home health	−0.09	−0.30, 0.12
LTAC/SNF	−0.47	−0.84, −0.09
Inpatient Rehabilitation	−0.84	−1.50, −0.18
Charlson comorbidity index (continuous)	0.06	0.03, 0.11	3599.3
Neurologic disorders (binary)	−0.28	−0.64, 0.08	3599.3
Race (factor)			3569.2
Caucasian	[Reference]
African American	0.07	−0.27, 0.42
Hispanic	−0.03	−0.23, 0.18
Asian	−0.28	−0.61, 0.05
Other	−0.45	−0.87, −0.03
Forced in variables†
Preoperative LOS (continuous)	0.002	−0.008, 0.012	3570.9
Reason for transplant			3575.6
Unknown	[Reference]
Unspecified	−0.34	−0.84, 0.16
Autoimmune	−0.25	−0.81, 0.31
Alcohol	−0.28	−0.77, 0.22
Malignancy	−0.51	−1.04, 0.03
Viral	−0.24	−0.71, 0.24
Random effects, estimate, hospital	0.39	0.25, 0.61

^*AIC for each additional fixed effect entered in model.

^†Forced in variables added to model although not selected with forward selection techniques.

AIC, Akaike Information Criterion; IP, inpatient; LOS, length of stay; LTAC, long term acute care; SNF, skilled nursing facility.