Introduction: Disparities in hepatocellular carcinoma (HCC) outcomes are shaped by intersecting social determinants of health (SDOH). We hypothesized that patients experience distinct combinations of socioeconomic barriers that cluster into social risk phenotypes associated with differences in diagnosis, treatment, and survival. Methods: We analyzed data from 4,877 adults diagnosed with HCC in the Indiana State Cancer Registry (2009–2020). Latent class analysis (LCA) was performed using sex, race, insurance, marital status, occupation, neighborhood Social Deprivation Index (SDI), and distances to screening and Indiana University Hospital. Outcomes included early-stage diagnosis, receipt of curative therapy, and two-year mortality. Results: Among 4,877 patients, 15.8% were non-White and 24.7% were female. LCA identified six distinct risk classes: (1) Minimal Barriers; (2) Publicly Insured – Married Females; (3) Publicly Insured – Unpartnered Males; (4) Rural and Geographically Distant; (5) Structurally Marginalized; and (6) Unseen and Uninsured. Class 1 had the most favorable characteristics (83.7% private insurance, 16.8% professional occupation) and best outcomes: 55.4% early-stage diagnosis, 24.4% curative therapy, and 55.4% two-year mortality. All other classes had significantly worse outcomes. Compared to Class 1, patients in Class 6 had the lowest early-stage diagnosis (39.7%) and curative therapy (10.5%) and highest mortality (83.6%; OR 4.12, 95% CI 3.06–5.54, P <0.001). Classes 4 and 5, reflecting rural and racially marginalized groups, also had significantly lower odds of early diagnosis and treatment. Conclusion: Social risk phenotypes based on intersecting SDOH were strongly associated with HCC outcomes and may inform future risk-based intervention strategies.
Nephew et al. (Thu,) studied this question.
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