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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25566
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dc.contributor.authorMorel, Sandrine-
dc.contributor.authorHostettler, Isabel C.-
dc.contributor.authorSpinner, Georg R.-
dc.contributor.authorBourcier, Romain-
dc.contributor.authorPera, Joanna-
dc.contributor.authorMeling, Torstein-
dc.contributor.authorAlg, Varinder-
dc.contributor.authorHoulden, Henry-
dc.contributor.authorBakker, Mark-
dc.contributor.authorvan’t Hof, Femke-
dc.contributor.authorRinkel, Gabriel-
dc.contributor.authorForoud, Tatiana-
dc.contributor.authorLai, Dongbing-
dc.contributor.authorMoomaw, Charles-
dc.contributor.authorWorrall, Bradford-
dc.contributor.authorCaroff, Jildaz-
dc.contributor.authorConstant-dits-Beaufils, Pacôme-
dc.contributor.authorKarakachoff, Matilde-
dc.contributor.authorRimbert, Antoine-
dc.contributor.authorRouchaud, Aymeric-
dc.contributor.authorGaal-Paavola, Emilia-
dc.contributor.authorKaukovalta, Hanna-
dc.contributor.authorKivisaari, Riku-
dc.contributor.authorLaakso, Aki-
dc.contributor.authorJahromi, Behnam-
dc.contributor.authorTulamo, Riikka-
dc.contributor.authorFriedrich, Christoph-
dc.contributor.authorDauvillier, Jerome-
dc.contributor.authorHirsch, Sven-
dc.contributor.authorIsidor, Nathalie-
dc.contributor.authorKulcsàr, Zolt-
dc.contributor.authorLövblad, Karl-
dc.contributor.authorMartin, Olivier-
dc.contributor.authorMachi, Paolo-
dc.contributor.authorMendes Pereira, Vitor-
dc.contributor.authorRüfenacht, Daniel-
dc.contributor.authorSchaller, Karl-
dc.contributor.authorSchilling, Sabine-
dc.contributor.authorSlowik, Agnieszka-
dc.contributor.authorJaaskelainen, Juha-
dc.contributor.authorvon und zu Fraunberg, Mikael-
dc.contributor.authorJiménez-Conde, Jordi-
dc.contributor.authorCuadrado-Godia, Elisa-
dc.contributor.authorSoriano-Tárraga, Carolina-
dc.contributor.authorMillwood, Iona-
dc.contributor.authorWalters, Robin-
dc.contributor.authorThe @neurIST project-
dc.contributor.authorThe ICAN Study Group-
dc.contributor.authorGenetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators-
dc.contributor.authorInternational Stroke Genetics Consortium (ISGC)-
dc.contributor.authorKim, Helen-
dc.contributor.authorRedon, Richard-
dc.contributor.authorKo, Nerissa-
dc.contributor.authorRouleau, Guy-
dc.contributor.authorLindgren, Antti-
dc.contributor.authorNiemelä, Mika-
dc.contributor.authorDesal, Hubert-
dc.contributor.authorWoo, Daniel-
dc.contributor.authorBroderick, Joseph-
dc.contributor.authorWerring, David-
dc.contributor.authorRuigrok, Ynte-
dc.contributor.authorBijlenga, Philippe-
dc.date.accessioned2022-09-08T08:47:24Z-
dc.date.available2022-09-08T08:47:24Z-
dc.date.issued2022-
dc.identifier.issn2075-4426de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25566-
dc.description.abstractIntracranial 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.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofJournal of Personalized Medicinede_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectIntracranial aneurysmde_CH
dc.subjectSubarachnoid hemorrhagede_CH
dc.subjectRisk factorde_CH
dc.subjectLocationde_CH
dc.subjectSmokingde_CH
dc.subjectHypertensionde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleIntracranial aneurysm classifier using phenotypic factors : an international pooled analysisde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.3390/jpm12091410de_CH
dc.identifier.doi10.21256/zhaw-25566-
zhaw.funding.euNode_CH
zhaw.issue9de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start1410de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume12de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.webfeedMedical Image Analysis & Data Modelingde_CH
zhaw.funding.zhawAneuXde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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