Trends of Hepatocellular Carcinoma (HCC) Inpatients Mortality and Financial Burden From 2011 to 2017: A Nationwide Analysis

Strategies to Reduce Hospital Length of Stay: Evidence and Challenges

Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resource utilization, and healthcare costs. While reducing HLOS can improve hospital efficiency and patient throughput, it also poses risks such as premature discharge, increased readmission rates, and potential compromise of patient safety. This literature review synthesizes current evidence on the determinants of HLOS, including patient-specific factors such as demographics, comorbidities, and socioeconomic status, as well as hospital-related factors like admission route, resource allocation, and institutional policies. We also examine the relationship between HLOS and key clinical outcomes, including mortality, readmission rates, and healthcare-associated infections. Additionally, we evaluate predictive modeling approaches, including artificial intelligence and machine learning, for forecasting HLOS and guiding early intervention strategies. While interventions such as enhanced recovery after surgery (ERAS) protocols, multidisciplinary care teams, and structured discharge planning have demonstrated efficacy in reducing HLOS, their success varies based on healthcare setting, patient complexity, and resource availability. Predictive analytics, incorporating clinical and non-clinical variables, offer promising avenues for improving hospital efficiency, yet may carry risks related to data quality and model bias. Given the impact of HLOS on clinical and economic outcomes, targeted interventions and predictive models should be applied cautiously, with future research focusing on refining personalized discharge strategies and addressing disparities across diverse patient populations.

Overall Survival of Young Patients with Hepatocellular Carcinoma in Barcelona Clinic Liver Cancer Stage B in a Retrospective Study Based on a Multicenter Cohort

BACKGROUND

Hepatocellular carcinoma (HCC) is usually diagnosed in patients at the age of > 45 years. We aimed to determine the prognosis of patients with HCC at the age of 30-44 years compared with that of patients at a more senior age.

METHODS

Based on the Sun Yat-sen University Cancer Center database, a total of 1745 patients with HCC were retrospectively enrolled and were assigned to three age groups (30-44, 45-59, and 60-70 years). The primary endpoint was overall survival. Among baseline characteristics, five variables including sex, serum albumin level, total bilirubin level, the maximum tumor diameter, and the number of tumor nodules were adjusted using propensity score matching.

RESULTS

Patients aged 30-44 years presented a worse overall survival, a greater number of HCC nodules, a greater maximum tumor diameter, and higher serum alpha-fetoprotein (AFP) concentration than those aged 45-59 years in a crude analysis (p < 0.05). Using propensity score matching, the difference in overall survival between the two cohorts was canceled (p > 0.05).

CONCLUSION

The prognosis of patients with HCC at age 30-44 years was equal to that of patients aged 45-59 years.

Mapping the Hidden Terrain of Hepatocellular Carcinoma: Exploring Regional Differences in Incidence and Mortality across Two Decades by Using the Largest US Datasets

Background: There is an observed variation in the burden of hepatocellular carcinoma (HCC) across different US populations. Our study aims to comprehensively assess variations in HCC incidence and mortality rates across different regions of the US. Understanding these geographical differences is crucial, given prior evidence indicating variations in the incidence of viral hepatitis and metabolic dysfunction-associated steatotic liver disease and varying access to curative HCC treatment among states. Methods: HCC age-adjusted incidence rates between 2001 and 2021 were obtained from the United States Cancer Statistics (USCS) database (which covers approximately 98% of the US population). HCC age-adjusted mortality rates between 2000 and 2022 were obtained from the National Center of Health Statistics (NCHS) database (covering approximately 100% of the US population). The rates were categorized by US geographical region into West, Midwest, Northeast, and South. Incidence rates were also categorized by race/ethnicity. Time trends [annual percentage change (APC) and average APC (AAPC)] were estimated by using Joinpoint Regression via the weighted Bayesian Information Criteria (p < 0.05). Results: Between 2001 and 2021, there were 491,039 patients diagnosed with HCC in the US (74.2% males). The highest incidence rate per 100,000 population was noted in the West (7.38), followed by the South (6.85). Overall incidence rates increased between 2001 and 2015 and then significantly decreased until 2021 (APC = -2.29). Most cases were in the South (38.8%), which also had the greatest increase in incidence (AAPC = 2.74). All four geographical regions exhibited an overall similar trend with an increase in incidence over the first 10-15 years followed by stable or decreasing rates. While stratification of the trends by race/ethnicity showed slight variations among the regions and groups, the findings are largely similar to all race/ethnic groups combined. Between 2000 and 2022, there were 370,450 patients whose death was attributed to HCC in the US (71.6% males). The highest mortality rate per 100,000 population was noted in the South (5.02), followed by the West (4.99). Overall mortality rates significantly increased between 2000 and 2013 (APC = 1.90), then stabilized between 2013 and 2016, and then significantly decreased till 2022 (APC = -1.59). Most deaths occurred in the South (35.8%), which also had the greatest increase in mortality (AAPC = 1.33). All four geographical regions followed an overall similar trend, with an increase in mortality over the first 10-15 years, followed by stable or decreasing rates. Conclusions: Our analysis, capturing about 98% of the US population, demonstrates an increase in HCC incidence and mortality rates in all geographical regions from 2000 to around 2014-2016, followed by stabilizing and decreasing incidence and mortality rates. We observed regional variations, with the highest incidence and mortality rates noted in the West and South regions and the fastest increase in both incidence and mortality noted in the South. Our findings are likely attributable to the introduction of antiviral therapy. Furthermore, demographic, socioeconomic, and comorbid variability across geographical regions in the US might also play a role in the observed trends. We provide important epidemiologic data for HCC in the US, prompting further studies to investigate the underlying factors responsible for the observed regional variations in HCC incidence and mortality.

The HHEX-ABI2/SLC17A9 axis induces cancer stem cell-like properties and tumorigenesis in HCC

Accumulating evidence indicated that HHEX participated in the initiation and development of several cancers, but the potential roles and mechanisms of HHEX in hepatocellular carcinoma (HCC) were largely unclear. Cancer stem cells (CSCs) are responsible for cancer progression owing to their stemness characteristics. We reported that HHEX was a novel CSCs target for HCC. We found that HHEX was overexpressed in HCC tissues and high expression of HHEX was associated with poor survival. Subsequently, we found that HHEX promoted HCC cell proliferation, migration, and invasion. Moreover, bioinformatics analysis and experiments verified that HHEX promoted stem cell-like properties in HCC. Mechanistically, ABI2 serving as a co-activator of transcriptional factor HHEX upregulated SLC17A9 to promote HCC cancer stem cell-like properties and tumorigenesis. Collectively, the HHEX-mediated ABI2/SLC17A9 axis contributes to HCC growth and metastasis by maintaining the CSC population, suggesting that HHEX serves as a promising therapeutic target for HCC treatment.

Financial burden in a US cohort of patients with HCC

BACKGROUND

High financial burden for patients has been reported for multiple types of cancer, but there are limited data in those with HCC. We aimed to describe the financial burden for patients diagnosed with HCC and identify correlates of high financial burden.

METHODS

We used the IQVIA PharMetrics Plus for Academics database to identify commercially insured patients diagnosed with HCC between 2006 and 2021. Patient financial liability was defined as the difference between allowed and paid amounts from adjudicated insurance claims. We reported total and HCC-related financial liabilities (i.e., cost for HCC-related claims), with high total financial liability defined as ≥$3000 annually and high HCC-related financial liability as ≥$1000 annually. We used multivariable logistic regression modeling to identify factors associated with high total and HCC-related financial liability.

RESULTS

Among 11,609 patients with HCC, the median total financial liability during the year after HCC diagnosis was $2955 (Q1-Q3: $972-$6293). Nearly half (45%) of patients experienced high total financial liability, with the greatest liability incurred in the 3-month period immediately following HCC diagnosis. Older age, increased comorbidity, and cirrhosis-related complications were associated with higher total patient liability. Patient liability also varied by type of HCC treatment, with systemic therapy and liver transplantation having the highest financial liability in multivariable analysis. However, only 66.7% of the patients experienced HCC-related liability.

CONCLUSIONS

Patients with HCC experience significant financial liability underscoring a need for price transparency as well as financial counseling in this population.

A three-gene signature reveals changes in the tumor immune microenvironment in the progression from NAFLD to HCC

Hepatocellular carcinoma (HCC) is one of the most dangerous malignant tumors. The incidence rates of obesity related NAFLD and NASH are increasing year by year, and they are the main risk factors for HCC at present. Finding the mechanism of malignant transformation of NAFLD and NASH is helpful for early prevention and diagnosis. In this study, we performed differential analysis using NAFLD data, NASH data, and HCC data to identify crossover differential genes. Then, using the clinical data of TCGA, a prognostic risk prediction model of three genes (TEAD4, SOCS2, CIT) was constructed, and survival analysis and receiver operating characteristic curves were drawn. The prognostic model was validated using ICGC, GSE116174 and GSE54236 datasets. In addition, we assessed immune status and function in high- and low-risk populations using a prognostic model. Moreover, we assessed the expression of CIT in clinical samples and HCC cell lines and validated its role in HCC development. Our study elucidates the important role of the tumor immune microenvironment in the development of NAFLD/NASH to HCC, deepens the understanding of the pathogenesis of NAFLD/NASH development to HCC, and is helpful for clinical management and decision-making.