RESUMO
INTRODUCTION: Pernicious 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. METHODS: A 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. RESULTS: A 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. CONCLUSIONS: The 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.