Title

Sensitivity of the Unruptured Intracranial Aneurysm Treatment Score (UIATS) in the Elderly: Retrospective Analysis of Ruptured Aneurysms

Document Type

Article

Abstract

Background/Purpose: The prevalence of intracranial aneurysms, as well as the incidence of subarachnoid hemorrhage (SAH), increase with age, and the elderly have poor outcomes after SAH. Age is a key factor in the unruptured intracranial aneurysm treatment score (UIATS),but the sensitivity of the UIATS model in detecting risk of SAH among the elderly is unknown. Methods: We retrospectively analyzed 153 consecutive cases of ruptured aneurysms between 2012 and 2018. We used Fisher's exact test, analysis of variance, and multivariate logistic regression to compare outcomes between those >65 years of age and those younger. We then applied the UIATS model and evaluated the sensitivity of the model as a predictor of SAH in the elderly compared with younger patients. Results: Elderly patients made up 32% (n = 49 of 153) of our cohort. They had significantly higher in-hospital mortality (19 of 49, 39%) than younger patients (14 of 104, 13%) (P < 0.01). In a multivariate logistic regression, controlling for Hunt-Hess grade and comorbidities, age >65 years remained a significant predictor of unfavorable outcome at discharge (P = 0.03). The UIATS model had low sensitivity in the elderly compared with younger patients: 63% (59 of 136) of younger patients would have been recommended aneurysm repair had their aneurysm been detected unruptured, compared with only 12% (5 of 42) of elderly patients >65 years (P < 0.01). Conclusions: Elderly patients >65 years in age have far worse outcomes after SAH. The sensitivity of the UIATS model for detecting those at risk of SAH was significantly lower in elderly patients. The UIATS model may lead to undertreatment of elderly patients at risk of SAH.

Publication Date

8-1-2021

Publication Title

World Neurosurgery

ISSN

18788750

E-ISSN

18788769

Volume

152

First Page

e673

Last Page

e677

PubMed ID

34129975

Digital Object Identifier (DOI)

10.1016/j.wneu.2021.06.021

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