Abstract
IntroductionPernicious health disparities have been reported in patients with hepatocellular carcinoma (HCC). Few tools exist to screen patients in order to facilitate educational and outreach initiatives. We hypothesize that neighborhood-level socioeconomic metrics such as the Area Deprivation Index (ADI) can predict inferior outcomes in patients with early-stage HCC. MethodsA single institution's retrospective review of patients with Surveillance, Epidemiology, and End Results Stage I HCC between 2000 and 2020 was conducted. Univariate and multivariate models were constructed to identify clinical and socioeconomic variables correlated with treatment-specific survival. Kaplan-Meier analysis was performed to compare survival differences between cohorts. ResultsA total of 558 patients were included in this study with newly diagnosed Surveillance, Epidemiology, and End Results Stage I HCC. Multivariate models demonstrated native model of end-stage liver disease, largest tumor size, insurance type, the distance to our transplant center, and the ADI score, a validated metric for a patient's socioeconomic status, are independent risk factors for worse overall survival (all P-values < 0.05). Concerningly, despite similar maximal tumor size, number of tumors, and native model of end-stage liver disease scores, patients from high ADI neighborhoods are 20% less likely to receive surgical treatment, especially liver transplantation. ConclusionsThe ADI is a useful tool for identifying patients at the time of presentation who are at risk for inferior treatment for early stage HCC, and the ADI should be incorporated as a social vital sign.
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