Cost-Effectiveness of Hepatocellular Carcinoma Surveillance Strategies in Patients With Compensated Liver Cirrhosis in the United Kingdom
- Osvaldo Ulises Garay 1, Louisa Elena Ambühl 1, Thomas G Bird 2, Eleanor Barnes 3, William L Irving 4, Ryan Walkley 5, Ian A Rowe 6
- 1Global Access and Policy, Roche Diagnostics International, Rotkreuz, Switzerland.
- 2Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, UK; Cancer Research UK Scotland Institute, Glasgow, Scotland, UK.
- 3Nuffield Department of Medicine, University of Oxford, Oxford, England, UK; Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, England, UK.
- 4NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, England, UK.
- 5Health Economics, Roche Diagnostics Ltd, Burgess Hill, Sussex, England, UK.
- 6Leeds Institute for Medical Research, University of Leeds, Leeds, England, UK.
- 0Global Access and Policy, Roche Diagnostics International, Rotkreuz, Switzerland.
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August 10, 2024
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View abstract on PubMed
Summary
This summary is machine-generated.The GAAD algorithm, combining biomarkers and patient data, offers a cost-effective strategy for hepatocellular carcinoma surveillance in the UK. GAAD alone is preferred for cost-effectiveness, while GAAD plus ultrasound provides the highest clinical effectiveness.
Area Of Science
- Hepatobiliary Medicine
- Health Economics
- Biomarker Assay Development
Background
- Hepatocellular carcinoma (HCC) surveillance is crucial for early detection and improved patient outcomes.
- Current surveillance strategies in the UK, such as ultrasound (US) and alpha-fetoprotein (AFP) testing, have varying cost-effectiveness.
- Novel surveillance algorithms are needed to optimize resource allocation and clinical effectiveness.
Purpose Of The Study
- To evaluate and compare the cost-effectiveness (CE) of four hepatocellular carcinoma (HCC) surveillance strategies in the United Kingdom.
- To identify the most economically viable and clinically effective surveillance approach for HCC in the UK National Health Service (NHS).
Main Methods
- A de novo microsimulation state-transition Markov model was developed in Microsoft Excel®.
- The model simulated a cohort of 100,000 patients to calculate life-years, quality-adjusted life-years (QALYs), and costs.
- Parameters were derived from peer-reviewed literature, national guidelines, and public cost databases, with sensitivity and scenario analyses performed.
Main Results
- The GAAD algorithm (Gender, Age, Elecsys® biomarker assays, AFP, PIVK-II) alone was the most cost-effective strategy at a CE threshold of £20,000/QALY.
- GAAD combined with ultrasound (US) was the most clinically effective strategy, yielding the highest QALYs, despite being the most costly.
- Sensitivity analyses highlighted HCC incidence and diagnostic performance costs as key determinants of CE.
Conclusions
- GAAD alone or GAAD + US are suggested as cost-effective HCC surveillance strategies in the UK, outperforming US and US + AFP.
- While GAAD + US offers the highest QALY increase, GAAD alone is recommended for its superior cost-effectiveness.
- Further research with improved performance estimates for GAAD + US is warranted to confirm its potential benefits.
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