Abstract

Background

Hepatocellular carcinoma (HCC) is the fastest increasing cause of cancer death in Australia. A recent Australian consensus guidelines recommended HCC surveillance for cirrhotic patients and non-cirrhotic chronic hepatitis B (CHB) patients at gender and age specific cut-offs. A cost-effectiveness model was then developed to assess surveillance strategies in Australia.

Methods

A microsimulation model was used to evaluate three strategies: biannual ultrasound, biannual ultrasound with alpha-fetoprotein (AFP) and no formal surveillance for patients having one of the conditions: non-cirrhotic CHB, compensated cirrhosis or decompensated cirrhosis. One-way and probabilistic sensitivity analyses as well as scenario and threshold analyses were conducted to account for uncertainties: including exclusive surveillance of CHB, compensated cirrhosis or decompensated cirrhosis populations; impact of obesity on ultrasound sensitivity; real-world adherence rate; and different cohort’s ranges of ages.

Results

Sixty HCC surveillance scenarios were considered for the baseline population. The ultrasound + AFP strategy was the most cost-effective with incremental cost-effectiveness ratios (ICER) compared to no surveillance falling below the willingness-to-pay threshold of A$50,000 per quality-adjusted life year (QALY) at all age ranges. Ultrasound alone was also cost-effective, but the strategy was dominated by ultrasound + AFP. Surveillance was cost-effective in the compensated and decompensated cirrhosis populations alone (ICERs < $30,000), but not cost-effective in the CHB population (ICERs > $100,000). Obesity could decrease the diagnostic performance of ultrasound, which in turn, reduce the cost-effectiveness of ultrasound ± AFP, but the strategies remained cost-effective.

Conclusions

HCC surveillance based on Australian recommendations using biannual ultrasound ± AFP was cost-effective.

Details

Title
Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
Author
Anh Le Tuan Nguyen; Si, Lei; Lubel, John S; Shackel, Nicholas; Kwang Chien Yee; Wilson, Mark; Bradshaw, Jane; Hardy, Kerry; Palmer, Andrew John; Christopher Leigh Blizzardrbara de Graaff
Pages
1-15
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14726963
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2802980352
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.