Background: Severe geographic inequities in liver transplantation have persisted for years. Previous investigators have demonstrated 90-day transplant rates varying from 14% to 82% and death rates varying from 18% to 86%. The aim of this analysis was to utilize a robust multivariate analysis to investigate whether geographic inequities affected the length of stay after liver transplantation. Methods: We conducted a unique Kaplan-Meier analysis with the event being discharge from the hospital and length of stay as the time to the event, using a cohort of 66 674 recipients listed in the UNOS database from 2002 to 2016. Multivariate Cox regression using 43 covariates was used for time-to-event analysis. Results: Region 9 (0.82; CI 0.79-0.85), Region 2 (0.85; CI 0.83-0.88), and Region 10 (0.96; CI 0.93-0.99) were statistically significant factors for prolonged hospital stay. The following covariates were the most significant factors for prolonged hospital stay: serum sodium >150 mEq/L (0.70; CI 0.62-0.78), ICU admission (0.77; CI 0.74-0.80), hospital admission (0.81; 0.79-0.83), region 9 (0.82; CI 0.79-0.85), and ventilator dependence (0.82; CI 0.76-0.88). Conclusion: In this analysis, we demonstrate regional disparities in hospital length of stay that are significant in robust multivariable Cox regression analysis. We hope the transplant community will take immediate measures to correct geographic inequities.
- quality of care/care delivery
- registry/registry analysis
- risk assessment/risk stratification
- United Network for Organ Sharing
ASJC Scopus subject areas