Shu-Yein Ho

Background: Performance status (PS) is associated with the severity of liver cirrhosis and is also an important survival determinant in hepatocellular carcinoma (HCC). Albumin–bilirubin (ALBI) grade and easy (EZ)-ALBI grade have been proposed to evaluate liver dysfunction in HCC, but their role in patients with different PS is unclear. We aimed to investigate the prognostic role of ALBI and EZ-ALBI grade in a large HCC cohort with variable PS. Methods: A total of 3355 newly diagnosed HCC patients between 2002 and 2018 were identified and retrospectively analyzed. Independent prognostic predictors associated with survival were investigated using the Cox proportional hazards model. Results: Patients with poor PS had decreased survival compared with those with good PS. In the Cox model, creatinine ≥1.2 mg/dL, α-fetoprotein (AFP) ≥20 ng/mL, vascular invasion, distant metastasis, total tumor volume >100 cm³, presence of ascites, ALBI grades 2 and 3, EZ-ALBI grade 2 and grade 3, PS 1–4, and noncurative treatment were independently associated with higher mortality in the entire cohort (all p < 0.001). ALBI grade and EZ-ALBI grade can well stratify overall survival in subgroup patients with PS 0, PS 1–2, and PS 3–4 (all p < 0.001). Conclusion: Patients with good PS have better long-term survival compared with those with poor PS. ALBI and EZ-ALBI grade can discriminate long-term outcome in the entire cohort as well as in patients with different PS. ALBI and EZ-ALBI are objective and feasible prognostic models to evaluate liver dysfunction in HCC patients independent of PS.

The severity of liver functional reserve is an important prognostic predictor in hepatocellular carcinoma (HCC). The albumin–bilirubin (ALBI), easy (EZ)-ALBI, platelet-albumin–bilirubin (PALBI), platelet–albumin (PAL) score, and MELD 3.0 score are used to evaluate the severity of liver dysfunction. However, their prognostic role in HCC patients, specifically with renal insufficiency (RI), is unclear. We aimed to investigate the predictive accuracy of the five models in these patients. A total of 1120 newly diagnosed HCC patients with RI were enrolled. A multivariate Cox proportional analysis was used to identify independent predictors associated with survival. In the Cox model, older age, an α-fetoprotein ≥20 ng/mL, vascular invasion, a medium and high tumor burden score, poor performance status, a higher ALBI grade, an EZ-ALBI grade, a PALBI grade, a PAL grade, and MELD 3.0 score were all independently associated with decreased overall survival (all p < 0.001). Among the five liver reserve models, the ALBI grade is the best surrogate marker to represent liver functional reserve in terms of outcome prediction. The albumin-based liver reserve models (ALBI, EZ-ALBI, PALBI, and PAL) and MELD 3.0 are all feasible prognostic markers to indicate liver injury, specifically in HCC patients with RI. Among them, the ALBI grade is the most robust tool for survival prediction in these patients.

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(1) Background: The severity of liver functional reserve plays an important role in the management of hepatocellular carcinoma (HCC). Noninvasive models such as the model for end-stage liver disease (MELD), albumin-bilirubin (ALBI) grade and easy (EZ)-ALBI grade, platelet-albumin-bilirubin (PALBI) and platelet-albumin (PAL) are used to evaluate liver dysfunction. We aimed to compare the prognostic performance of these four albumin-based models against MELD in HCC patients undergoing transarterial chemoembolization (TACE). (2) Methods: A total of 1038 treatment naïve HCC patients who received TACE as the primary treatment were enrolled. A multivariate Cox model was used to determine independent survival predictors. (3) Results: Multivariate analysis revealed that higher serum creatinine and α-fetoprotein level, vascular invasion, large tumor size, ALBI grades 2–3, EZ-ALBI grades 2–3, PALBI grades 2–3, PAL grades 2–3, but not the MELD score, were independent predictors associated with decreased survival in different Cox models. Among these models, the PALBI grade had the highest homogeneity and lowest corrected Akaike information criteria value, followed by EZ-ALBI, PAL, ALBI and, lastly, MELD. (4) Conclusions: All four albumin-based liver reserve models are better prognostic tools than MELD score in HCC patients undergoing TACE. Of these, the PALBI score is the best model to evaluate the liver reserve and should be considered a surrogate marker in these patients.

Patients with hepatocellular carcinoma (HCC) often have co-existing ascites, which is a hallmark of liver decompensation. The albumin-bilirubin (ALBI) grade and EZ (easy)-ALBI grade are used to assess liver functional reserve in HCC, but the predictive accuracy of these two models in HCC patients with ascites is unclear. We aimed to determine the prognostic role of ALBI and EZ-ALBI grades in these patients. A total of 4431 HCC patients were prospectively enrolled and retrospectively analyzed. Independent prognostic predictors were identified by the multivariate Cox proportional hazards model. Of all patients, 995 (22.5%) patients had ascites. Grade 1, 2, and 3 ascites were found in 16%, 4%, and 3% of them, respectively. A higher ascites grade was associated with higher ALBI and EZ-ALBI scores and linked with decreased overall survival. In the Cox multivariate analysis, serum bilirubin level > 1.1 mg/dL, creatinine level ≥ 1.2 mg/dL, α-fetoprotein ≥ 20 ng/mL, total tumor volume > 100 cm³, vascular invasion, distant metastasis, poor performance status, ALBI grade 2 and 3, EZ-ALBI grade 2 and 3, and non-curative treatments were independently associated with increased mortality (all p < 0.05) among HCC patients with ascites. The ALBI and EZ-ALBI grade can adequately stratify overall survival in both the entire cohort and specifically in patients with ascites. Ascites is highly prevalent and independently predict patient survival in HCC. The ALBI and EZ-ALBI grade are feasible markers of liver dysfunction and can stratify long-term survival in HCC patients with ascites.

Tumor burden score (TBS), estimated by the diameter and number of tumor nodules, was recently proposed to assess the tumor burden in hepatocellular carcinoma (HCC). We aimed to evaluate the prognostic impact of TBS on HCC patients within the Milan criteria undergoing radiofrequency ablation (RFA) or transarterial chemoembolization (TACE). A total of 883 patients undergoing RFA and TACE were included. The multivariate Cox proportional hazards model was used to determine independent prognostic predictors in different patient cohorts. The TACE group had significantly higher TBS compared with the RFA group. The RFA group had better long-term survival than the TACE group in patients within the Milan criteria in univariate survival analysis. In the Cox model, serum α-fetoprotein (AFP) > 20 ng/mL, performance status 1–2, medium and high TBS, albumin–bilirubin (ALBI) grade 2 and grade 3 were independent predictors linked with mortality (all p < 0.001). Overall, TACE was not an independent predictor; among patients with low TBS, TACE was independently associated with decreased survival compared with RFA (p = 0.034). Conclusions: TBS is a feasible prognostic marker for HCC patients within the Milan criteria. TACE may be an effective treatment alternative for these patients. Among patients with low TBS, RFA should be considered the priority treatment modality.

The prognosis of hepatocellular carcinoma (HCC) varies widely due to variable tumor extent and liver reserve. We aimed to develop and validate a new prognostic model based on tumor burden score (TBS) and albumin–bilirubin (ALBI) grade for HCC. We prospectively identified 3794 HCC patients who were randomized into derivation and validation groups. Survival predictors were evaluated by a multivariate Cox model. The TBS–ALBI system allocated two points for high TBS and ALBI grade 3, and one point each for the presence of ascites, serum α-fetoprotein ≥ 400 ng/mL, vascular invasion or distant metastasis, performance status 2–4, medium TBS, and ALBI grade 2, with a maximal score of 8 points. Significant survival differences were found across different TBS–ALBI score groups in the validation cohort (all p < 0.001). The TBS–ALBI system had the lowest corrected Akaike information criterion (AICc) and the highest homogeneity compared with other proposed staging models. The discriminative ability of the TBS–ALBI system was consistently stable across different viral etiologies, cancer stages, and treatment strategies. Conclusions: This new TBS–ALBI system is a feasible and robust prognostic system in comparison with other systems; it is a user-friendly tool for long-term outcome assessment independent of treatment modality and cancer stage in HCC.

Renal insufficiency (RI) is commonly seen in patients with hepatocellular carcinoma (HCC). The prognostic role of albumin-bilirubin (ALBI) grade in this special setting is unclear. We aimed to investigate the role of ALBI grade associated with the impact of RI on HCC. A prospective cohort of 3690 HCC patients between 2002 and 2016 were retrospectively analyzed. The Kaplan–Meier method and multivariate Cox proportional hazards model were used to determine survival and independent prognostic predictors. Of all patients, RI was an independent predictor associated with decreased survival. In multivariate Cox analysis for patients with RI, α-fetoprotein level ≥20 ng/mL, tumor size >3 cm, vascular invasion, distant metastasis, presence of ascites, performance status 1–2, performance status 3–4, and ALBI grade 2 and grade 3 were independent predictors of decreased survival (all p < 0.05). In subgroup analysis of patients with RI undergoing curative and non-curative treatments, the ALBI grade remained a significant prognostic predictor associated with decreased survival (p < 0.001). In summary, HCC patients with RI have decreased survival compared to those without RI. The ALBI grade can discriminate the survival in patients with RI independent of treatment strategy and is a feasible prognostic tool in this special patient population.

The nomogram of the Barcelona Clinic Liver Cancer (BCLC) for hepatocellular carcinoma (HCC) has been used for outcome prediction. Patients with BCLC stage C HCC often undergo anti-cancer therapy against current treatment guidelines in real world practice. We aimed to use the nomogram to provide guidance on treatment selection for BCLC stage C patients. A total of 1317 patients with stage C HCC were retrospectively analyzed and divided into four groups by nomogram points. One-to-one matched pairs between patients receiving different treatments were generated by the propensity score with matching model within these groups. Survival analysis was performed by Kaplan-Meier method with log-rank test. Patients with higher nomogram points were more often treated with targeted or supportive therapies (p < 0.001). Patients receiving targeted or supportive therapies had a decreased survival compared to patients undergoing aggressive treatments (surgical resection, ablation, transarterial chemo-embolization or transplantation) across all four groups (p < 0.001). After matching for baseline differences in the propensity model, patients receiving different treatments had comparable age, gender, etiology of liver disease, tumor burden, severity of cirrhosis and performance status. Survival analyses were re-performed and disclosed that patients with nomogram points < 15 had better overall outcome after aggressive treatments (p < 0.05). For patients with nomogram points > 15, there was no significant difference in survival between patients receiving two different treatment strategies. The nomogram of BCLC system is a feasible tool to help stage C HCC patients to select primary anti-cancer treatment in pursuance of better overall survival.