3.8 Article

Decision-Utility Analysis of Empiric Treatment Versus Test and Treat Strategies for Helicobacter pylori in Patients With Duodenal Ulcer

Journal

VALUE IN HEALTH REGIONAL ISSUES
Volume 39, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.vhri.2023.08.007

Keywords

duodenal ulcer; Helicobacter pylori .

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This study compares the utility and ulcer recurrence rate of empiric treatment strategy and test and treat strategy in patients with uncomplicated duodenal ulcer. The results show that the empiric treatment strategy, within a specific range of test sensitivity, can lower the recurrence rate and result in higher quality-adjusted life-year (QALY) compared to the test and treat strategy.
Objectives: The optimal strategy of Helicobacter pylori eradication in patients with duodenal ulcer is unclear. In this study, we aimed to compare the utility and the ulcer recurrence rate using the empiric treatment versus the test and treat strategies in patients with uncomplicated duodenal ulcer. Methods: A decision-utility analysis was performed using a decision tree. The empiric treatment strategy was compared with the test and treat strategy. The probabilities of recurrent ulcers were determined and utilities of the 2 strategies were compared using the quality-adjusted life-year (QALY). Sensitivity analysis was performed to evaluate for model robustness. Results: The probability of recurrent ulcer with the empiric strategy was 10.5%. The probabilities of recurrent ulcer with the test and treat strategy were 12.6%, 14.7%, 16.8%, and 17.9% based on 95%, 90%, 85%, and 80% sensitivity for histopathology, respectively. At the 95% estimate for the sensitivity of histopathology, the empiric strategy was associated with greater QALY compared with the test and treat strategy, 0.9875 versus 0.9853. The empiric treatment strategy was associated with greater QALY at extreme values for the estimates in our model. Conclusions: The empiric treatment strategy is associated with 2.1% to 7.4% lower recurrence rate for a range of test sensitivity between 95% and 80%, and results in greater QALY compared with the test and treat strategy.

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