Abstract
Background and aims: Hepatocellular carcinoma (HCC) patients frequently present with comorbidities that limit therapeutic options and increase mortality. This study evaluated the performance of the Charlson Comorbidity Index (CCI) and a modified CCI (mCCI) in stratifying patients with HCC to predict treatment allocation and survival. Methods: A retrospective single-center cohort study analyzed 401 patients with de novo HCC (74% male, median age 68 years, 80% Child-Pugh-Turcotte (CPT) A, 65% viral etiology, 70% Barcelona Clinic Liver Cancer stage (BCLC) 0/A). CCI and mCCI (with points related to HCC and chronic liver disease excluded), were calculated at diagnosis for each patient. The primary endpoint was overall survival (OS) estimated by Kaplan-Meier method and compared across mCCI classes; Cox uni/multivariable models were applied to identify predictors of mortality. The secondary aim was evaluating the association between mCCI and treatment allocation. Results: While CCI classified 94% of patients as "high-risk", mCCI reclassified patients into "high-risk" (21%), "intermediate-risk" (48%), and "low-risk" (31%), demonstrating better stratification whilst maintaining a strong correlation with CCI (Kendall's tau-b = 0.57, p < 0.001). BCLC B patients with "high-risk" mCCI exhibited significantly lower access to first-line curative treatment (14% vs. 47%, p = 0.03). Moreover, "high" or "intermediate-risk" patients according to mCCI experienced significantly shorter OS compared to "low-risk" (median OS 36 vs. 49 vs. 74 months, p < 0.001). "High-risk" and "intermediate-risk" mCCI classes were independent predictors of mortality, alongside alpha-fetoprotein, CPT and BCLC stage. Considering the items composing mCCI, age and cardiovascular diseases were independent predictors of mortality. Conclusions: mCCI provides a more accurate assessment of comorbidities than the standard CCI and is associated with survival, hence it can contribute to designing patient-tailored therapeutic strategies.