Abstract
Objective: We estimated the cost-effectiveness of novel imaging tests to select patients for carotid endarterectomy
(CEA) in patients with significant carotid stenosis using a computer model and explored the
minimum prognostic performance that a new confirmatory test must have in order to be cost-effective
versus the guideline-based strategy.
Methods: The guidelines recommend initial duplex ultrasonography (DUS) followed by a confirmatory
test if DUS shows 30–69% stenosis; a positive CT-angiography (CTA) is an indication for CEA. In an alternative
strategy, we replaced CTA with CE-DUS, and in another strategy we replaced it by a hypothetical
imaging test and estimated the minimum prognostic performance that the test must have in order to
be cost-effective versus the guideline-based strategy. We assessed the potential cost-effectiveness in four
age- and sex-specific subpopulations.
Results: For 60-year-old men, a perfect confirmatory test (100% sensitivity and specificity) improves
health (0.066 quality-adjusted life years) and reduces costs ( €110/$146) versus the guideline-based strategy.
Potential health gain is smaller for 80-year-old men, while no health gain is expected for women.
Assuming 100% sensitivity, a test must have a specificity of at least 66% for 60-year-old men and 87% for
80-year-old men to be cost-effective. Similarly, assuming 100% specificity, a test must have a sensitivity
of at least 58% for 60-year-old men and 66% for 80-year-old men.
Conclusions: Information from new imaging technologies may improve stroke risk prediction and thereby
improve decisions about which patients should undergo CEA. However, their cost-effectiveness strongly
depends on the current test strategy and choice of patient subpopulation.
| Original language | English |
|---|---|
| Pages (from-to) | 111-117 |
| Number of pages | 7 |
| Journal | Health Policy and Technology |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 |
Research programs
- EMC NIHES-05-63-02 Quality
- EMC NIHES-03-30-02
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