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Hepatocellular carcinoma: what are the differential costs compared to the general population?
Josep Darbà1, Meritxell Ascanio2
1Department of Economics, Universitat de Barcelona, Barcelona, Spain.
Introduction:
Hepatocellular carcinoma (HCC), which accounts for about 90% of all primary liver cancer cases, is the fifth most common malignancy and the second leading cause of cancer-related mortality worldwide. This study aims to analyse the differential costs of HCC-related hospital admissions compared to the general population in Spain.
Methods:
A retrospective multicenter study analyzed inpatient admissions from a Spanish national discharge database, covering 90% of hospitals between 2010 and 2022. HCC-related admissions were identified using ICD-9 and ICD-10 codes, while control admissions were selected from the general population in the same database without an HCC diagnosis. The direct hospitalization cost was included, covering medical examinations, procedures, medications, surgeries, personnel and equipment. Statistical methods, including nearest-neighbor matching, propensity score matching, and a generalized linear model, were used to estimate differential costs and to ensure comparability based on age, gender, and Charlson Comorbidity Index (CCI).
Results:
A total of 199,670 HCC-related hospital admissions and 200,000 control admissions were analyzed. Most HCC-related admissions involved male patients (78%) aged 66-85 years, with an average CCI of 5.18. HCC-related admissions incurred significantly higher costs, with an estimated differential cost of €1,303.68 using GLM, €1,804.25 via propensity score matching, and €1,767.77 using nearest-neighbor matching. Total costs per HCC admission ranged between €1,000 and €31,000.
Conclusions:
HCC-related hospital admissions impose a significantly higher economic burden due to the complexity of care. Given the high mortality and resource utilization, advancements in early detection, treatment, and cost-effective interventions are needed to improve patient outcomes and reduce healthcare costs.
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