The unruptured intracranial aneurysm treatment score: a multidisciplinary consensus

Authors

Nima Etminan, Author affiliations are provided at the end of the article. etminan@uni-duesseldorf.de.
Robert D. Brown, Author affiliations are provided at the end of the article.
Kerim Beseoglu, Author affiliations are provided at the end of the article.
Seppo Juvela, Author affiliations are provided at the end of the article.
Jean Raymond, Author affiliations are provided at the end of the article.
Akio Morita, Author affiliations are provided at the end of the article.
James C. Torner, Author affiliations are provided at the end of the article.
Colin P. Derdeyn, Author affiliations are provided at the end of the article.
Andreas Raabe, Author affiliations are provided at the end of the article.
J Mocco, Author affiliations are provided at the end of the article.
Miikka Korja, Author affiliations are provided at the end of the article.
Amr Abdulazim, Author affiliations are provided at the end of the article.
Sepideh Amin-Hanjani, Author affiliations are provided at the end of the article.
Rustam Al-Shahi Salman, Author affiliations are provided at the end of the article.Follow
Daniel L. Barrow, Author affiliations are provided at the end of the article.
Joshua Bederson, Author affiliations are provided at the end of the article.
Alain Bonafe, Author affiliations are provided at the end of the article.
Aaron S. Dumont, Author affiliations are provided at the end of the article.
David J. Fiorella, Author affiliations are provided at the end of the article.
Andreas Gruber, Author affiliations are provided at the end of the article.
Graeme J. Hankey, Author affiliations are provided at the end of the article.
David M. Hasan, Author affiliations are provided at the end of the article.
Brian L. Hoh, Author affiliations are provided at the end of the article.
Pascal Jabbour, Author affiliations are provided at the end of the article.
Hidetoshi Kasuya, Author affiliations are provided at the end of the article.
Michael E. Kelly, Author affiliations are provided at the end of the article.Follow
Peter J. Kirkpatrick, Author affiliations are provided at the end of the article.
Neville Knuckey, Author affiliations are provided at the end of the article.
Timo Koivisto, Author affiliations are provided at the end of the article.
Timo Krings, Author affiliations are provided at the end of the article.
Michael T. Lawton, Author affiliations are provided at the end of the article.Follow
Thomas R. Marotta, Author affiliations are provided at the end of the article.

Document Type

Article

Abstract

OBJECTIVE: We endeavored to develop an unruptured intracranial aneurysm (UIA) treatment score (UIATS) model that includes and quantifies key factors involved in clinical decision-making in the management of UIAs and to assess agreement for this model among specialists in UIA management and research. METHODS: An international multidisciplinary (neurosurgery, neuroradiology, neurology, clinical epidemiology) group of 69 specialists was convened to develop and validate the UIATS model using a Delphi consensus. For internal (39 panel members involved in identification of relevant features) and external validation (30 independent external reviewers), 30 selected UIA cases were used to analyze agreement with UIATS management recommendations based on a 5-point Likert scale (5 indicating strong agreement). Interrater agreement (IRA) was assessed with standardized coefficients of dispersion (vr*) (vr* = 0 indicating excellent agreement and vr* = 1 indicating poor agreement). RESULTS: The UIATS accounts for 29 key factors in UIA management. Agreement with UIATS (mean Likert scores) was 4.2 (95% confidence interval [CI] 4.1-4.3) per reviewer for both reviewer cohorts; agreement per case was 4.3 (95% CI 4.1-4.4) for panel members and 4.5 (95% CI 4.3-4.6) for external reviewers (p = 0.017). Mean Likert scores were 4.2 (95% CI 4.1-4.3) for interventional reviewers (n = 56) and 4.1 (95% CI 3.9-4.4) for noninterventional reviewers (n = 12) (p = 0.290). Overall IRA (vr*) for both cohorts was 0.026 (95% CI 0.019-0.033). CONCLUSIONS: This novel UIA decision guidance study captures an excellent consensus among highly informed individuals on UIA management, irrespective of their underlying specialty. Clinicians can use the UIATS as a comprehensive mechanism for indicating how a large group of specialists might manage an individual patient with a UIA.

Medical Subject Headings

Humans; Internationality; Interprofessional Relations; Intracranial Aneurysm (diagnosis, epidemiology, therapy); Patient Care Team (standards); Severity of Illness Index; Treatment Outcome

Publication Date

8-16-2015

Publication Title

Neurology

E-ISSN

1526-632X

Volume

85

Issue

10

First Page

881

Last Page

9

PubMed ID

26276380

Digital Object Identifier (DOI)

10.1212/WNL.0000000000001891

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