Intracranial aneurysm classifier using phenotypic factors: an international pooled analysis

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• dc.contributor.author Morel, Sandrine
• dc.contributor.author Jiménez Conde, Jordi
• dc.contributor.author Cuadrado-Godia, Elisa
• dc.contributor.author Soriano Tarraga, Carolina
• dc.contributor.author Bijlenga, Philippe
• dc.date.accessioned 2023-02-03T06:52:07Z
• dc.date.available 2023-02-03T06:52:07Z
• dc.date.issued 2022
• dc.description.abstract Intracranial aneurysms (IAs) are usually asymptomatic with a low risk of rupture, but consequences of aneurysmal subarachnoid hemorrhage (aSAH) are severe. Identifying IAs at risk of rupture has important clinical and socio-economic consequences. The goal of this study was to assess the effect of patient and IA characteristics on the likelihood of IA being diagnosed incidentally versus ruptured. Patients were recruited at 21 international centers. Seven phenotypic patient characteristics and three IA characteristics were recorded. The analyzed cohort included 7992 patients. Multivariate analysis demonstrated that: (1) IA location is the strongest factor associated with IA rupture status at diagnosis; (2) Risk factor awareness (hypertension, smoking) increases the likelihood of being diagnosed with unruptured IA; (3) Patients with ruptured IAs in high-risk locations tend to be older, and their IAs are smaller; (4) Smokers with ruptured IAs tend to be younger, and their IAs are larger; (5) Female patients with ruptured IAs tend to be older, and their IAs are smaller; (6) IA size and age at rupture correlate. The assessment of associations regarding patient and IA characteristics with IA rupture allows us to refine IA disease models and provide data to develop risk instruments for clinicians to support personalized decision-making.
• dc.description.sponsorship The @neurIST project was supported by the 6th framework program of the European Commission (FP6-IST-2004-027703). Geneva data collection was part of the AneuX project supported by the Swiss SystemsX.ch initiative (PB), evaluated by the Swiss National Science Foundation, and which also funded the SyBIT project (web applications for data exploration). YMR has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (PRYSM, grant agreement No. 852173). MKB and YMR were supported by the Netherlands Cardiovascular Research Initiative: An initiative with support of the Dutch Heart Foundation, CVON2015-08 ERASE. DW was supported by NIH Funding. RR was supported by the French Regional Council of Pays-de-la-Loire (VaCaRMe program) and the Agence Nationale de la Recherche (ANR-15-CE17-0008-01 to G.L). HD and RB were supported by the French Ministry of Health (Clinical trial NCT02848495 to HD), the Genavie Foundation, the Société Française de Radiologie and the Société Française de Neuroradiologie. JJC and ECG were supported in part by Spain’s Ministry of Health (Instituto de Salud Carlos III Fondo de Investigaciones sanitarias P19/00011 and by “RICORS-ICTUS RD21/0006/0021). GAR was supported by the Canadian Institutes of Health Research. MN was supported by the Helsinki University Central Hospital EVO grant TYH2018316. The GOSH study was funded by the Stroke Association. Funders were not involved in the study design, in the analysis of the data or in the interpretation of the results.
• dc.format.mimetype application/pdf
• dc.identifier.citation Morel S, Hostettler IC, Spinner GR, Bourcier R, Pera J, Meling TR, et al. Intracranial aneurysm classifier using phenotypic factors: an international pooled analysis. J Pers Med. 2022 Aug 30;12(9):1410. DOI: 10.3390/jpm12091410
• dc.identifier.doi http://dx.doi.org/10.3390/jpm12091410
• dc.identifier.issn 2075-4426
• dc.identifier.uri http://hdl.handle.net/10230/55603
• dc.language.iso eng
• dc.publisher MDPI
• dc.relation.ispartof J Pers Med. 2022 Aug 30;12(9):1410
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/852173
• dc.rights © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Hypertension
• dc.subject.keyword Intracranial aneurysm
• dc.subject.keyword Location
• dc.subject.keyword Risk factors
• dc.subject.keyword Smoking
• dc.subject.keyword Subarachnoid hemorrhage
• dc.title Intracranial aneurysm classifier using phenotypic factors: an international pooled analysis
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion