Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25566
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis
Authors: Morel, Sandrine
Hostettler, Isabel C.
Spinner, Georg R.
Bourcier, Romain
Pera, Joanna
Meling, Torstein
Alg, Varinder
Houlden, Henry
Bakker, Mark
van’t Hof, Femke
Rinkel, Gabriel
Foroud, Tatiana
Lai, Dongbing
Moomaw, Charles
Worrall, Bradford
Caroff, Jildaz
Constant-dits-Beaufils, Pacôme
Karakachoff, Matilde
Rimbert, Antoine
Rouchaud, Aymeric
Gaal-Paavola, Emilia
Kaukovalta, Hanna
Kivisaari, Riku
Laakso, Aki
Jahromi, Behnam
Tulamo, Riikka
Friedrich, Christoph
Dauvillier, Jerome
Hirsch, Sven
Isidor, Nathalie
Kulcsàr, Zolt
Lövblad, Karl
Martin, Olivier
Machi, Paolo
Mendes Pereira, Vitor
Rüfenacht, Daniel
Schaller, Karl
Schilling, Sabine
Slowik, Agnieszka
Jaaskelainen, Juha
von und zu Fraunberg, Mikael
Jiménez-Conde, Jordi
Cuadrado-Godia, Elisa
Soriano-Tárraga, Carolina
Millwood, Iona
Walters, Robin
The @neurIST project
The ICAN Study Group
Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators
International Stroke Genetics Consortium (ISGC)
Kim, Helen
Redon, Richard
Ko, Nerissa
Rouleau, Guy
Lindgren, Antti
Niemelä, Mika
Desal, Hubert
Woo, Daniel
Broderick, Joseph
Werring, David
Ruigrok, Ynte
Bijlenga, Philippe
et. al: No
DOI: 10.3390/jpm12091410
10.21256/zhaw-25566
Published in: Journal of Personalized Medicine
Volume(Issue): 12
Issue: 9
Page(s): 1410
Issue Date: 2022
Publisher / Ed. Institution: MDPI
ISSN: 2075-4426
Language: English
Subjects: Intracranial aneurysm; Subarachnoid hemorrhage; Risk factor; Location; Smoking; Hypertension
Subject (DDC): 006: Special computer methods
616: Internal medicine and diseases
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/25566
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Published as part of the ZHAW project: AneuX
Appears in collections:Publikationen Life Sciences und Facility Management

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Morel, S., Hostettler, I. C., Spinner, G. R., Bourcier, R., Pera, J., Meling, T., Alg, V., Houlden, H., Bakker, M., van’t Hof, F., Rinkel, G., Foroud, T., Lai, D., Moomaw, C., Worrall, B., Caroff, J., Constant-dits-Beaufils, P., Karakachoff, M., Rimbert, A., et al. (2022). Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis. Journal of Personalized Medicine, 12(9), 1410. https://doi.org/10.3390/jpm12091410
Morel, S. et al. (2022) ‘Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis’, Journal of Personalized Medicine, 12(9), p. 1410. Available at: https://doi.org/10.3390/jpm12091410.
S. Morel et al., “Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis,” Journal of Personalized Medicine, vol. 12, no. 9, p. 1410, 2022, doi: 10.3390/jpm12091410.
MOREL, Sandrine, Isabel C. HOSTETTLER, Georg R. SPINNER, Romain BOURCIER, Joanna PERA, Torstein MELING, Varinder ALG, Henry HOULDEN, Mark BAKKER, Femke VAN’T HOF, Gabriel RINKEL, Tatiana FOROUD, Dongbing LAI, Charles MOOMAW, Bradford WORRALL, Jildaz CAROFF, Pacôme CONSTANT-DITS-BEAUFILS, Matilde KARAKACHOFF, Antoine RIMBERT, Aymeric ROUCHAUD, Emilia GAAL-PAAVOLA, Hanna KAUKOVALTA, Riku KIVISAARI, Aki LAAKSO, Behnam JAHROMI, Riikka TULAMO, Christoph FRIEDRICH, Jerome DAUVILLIER, Sven HIRSCH, Nathalie ISIDOR, Zolt KULCSÀR, Karl LÖVBLAD, Olivier MARTIN, Paolo MACHI, Vitor MENDES PEREIRA, Daniel RÜFENACHT, Karl SCHALLER, Sabine SCHILLING, Agnieszka SLOWIK, Juha JAASKELAINEN, Mikael VON UND ZU FRAUNBERG, Jordi JIMÉNEZ-CONDE, Elisa CUADRADO-GODIA, Carolina SORIANO-TÁRRAGA, Iona MILLWOOD, Robin WALTERS, The @neurIST project, The ICAN Study Group, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators, International Stroke Genetics Consortium (ISGC), Helen KIM, Richard REDON, Nerissa KO, Guy ROULEAU, Antti LINDGREN, Mika NIEMELÄ, Hubert DESAL, Daniel WOO, Joseph BRODERICK, David WERRING, Ynte RUIGROK und Philippe BIJLENGA, 2022. Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis. Journal of Personalized Medicine. 2022. Bd. 12, Nr. 9, S. 1410. DOI 10.3390/jpm12091410
Morel, Sandrine, Isabel C. Hostettler, Georg R. Spinner, Romain Bourcier, Joanna Pera, Torstein Meling, Varinder Alg, et al. 2022. “Intracranial Aneurysm Classifier Using Phenotypic Factors : An International Pooled Analysis.” Journal of Personalized Medicine 12 (9): 1410. https://doi.org/10.3390/jpm12091410.
Morel, Sandrine, et al. “Intracranial Aneurysm Classifier Using Phenotypic Factors : An International Pooled Analysis.” Journal of Personalized Medicine, vol. 12, no. 9, 2022, p. 1410, https://doi.org/10.3390/jpm12091410.


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