“Significant disparities in the odds of receiving a liver were found: African Americans, odds ratio, 1.12 (95% confidence interval, 1.08-1.17); Asians, 1.12 (95% CI, 1.07-1.18); females, 0.80 (95% CI, 0.78-0.83); and malignancy 1.18 (95% CI, 1.13-1.22). Significant racial disparities by region were identified using Caucasian Region 7 (Ill., Minn., N.D., S.D., and Wisc.) as the reference: Hispanic Region 9 (N.Y., West Vt.) 1.22 (1.02-1.45), Hispanic Region 1 (New England) 1.26 (1.01-1.57), Hispanic Region 4 (Ok., Tex.) 1.23 (1.05-1.43), and Asian Region 4 (Ok., Tex.) 1.35 (1.05-1.73).” Since the transplantation rate in Region 7 closely approximated the sex and race-matched rate of the national post–Share 35 average, it was used as a reference in the study.
“Although traditional disparities as with African Americans and [whites] have been improved during the past 30 years, new disparities as with Hispanics and Asians have developed in certain regions,” stated the authors.
They acknowledged the limitations in the observational nature of the study and those of the statistical analyses, which could only approximate, rather than perfectly replicate, a randomized trial. Big Data tools such as artificial intelligence–based machine learning can provide real-time analysis of large heterogeneous datasets for patients across different regions.
The authors reported no conflicts of interest.
SOURCE: Monlezun DJ et al. Surgery. 2018 doi: 10.1016/j.surg.2017.10.009.