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402 Cost-Effectiveness Analysis on Small (<5 mm) Unruptured Intracranial Aneurysm Follow-up Strategies

INTRODUCTION: Unruptured intracranial aneurysms are frequently detected during routine clinical diagnostic processes. A significant portion is small aneurysms less than 5mm. While follow-up patients with small aneurysms have been advocated,… Click to show full abstract

INTRODUCTION: Unruptured intracranial aneurysms are frequently detected during routine clinical diagnostic processes. A significant portion is small aneurysms less than 5mm. While follow-up patients with small aneurysms have been advocated, the cost-effectiveness of such care and the optimal follow-up interval remain unknown. METHODS: A decision analysis study was performed utilizing a Markov model with Monte Carlo simulations to simulate patients undergoing follow-up by MRA at different time intervals (1-,2-,3-, 5-and 7-year intervals) for small (<5mm) unruptured intracranial aneurysms. Input data for the model was extracted from the current literature, primarily latest Meta-analysis. Probabilistic sensitivity analysis and deterministic sensitivity analyses were performed to evaluate the robustness of the Model. RESULTS: Given current literature and our model, following-up every 3 years with noninvasive imaging is the most cost-effective strategy (cost = $99611, effectiveness = 19.00 QALYs), showing the highest net monetary benefit. The conclusion remains robust in probabilistic sensitivity analysis and deterministic sensitivity analyses. As the annual rupture risk of small aneurysms exceeds 9.8% (base-case 3.1%), following up every 2 years becomes the optimal strategy. CONCLUSION: The most cost-effectiveness follow-up strategy for small (<5mm) unruptured aneurysms using MRA is follow-up every 3 years. More frequent follow-up strategies or prompt preventive treatment would be more appropriate in patients with a higher rupture risk of growing aneurysms.

Keywords: cost; analysis; cost effectiveness; follow strategies; unruptured intracranial

Journal Title: Neurosurgery
Year Published: 2022

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