Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis

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

doi:10.3390/jpm12091410

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Publikationstyp:	Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung:	Peer review (Publikation)
Titel:	Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis
Autor/-in:	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
Erschienen in:	Journal of Personalized Medicine
Band(Heft):	12
Heft:	9
Seite(n):	1410
Erscheinungsdatum:	2022
Verlag / Hrsg. Institution:	MDPI
ISSN:	2075-4426
Sprache:	Englisch
Schlagwörter:	Intracranial aneurysm; Subarachnoid hemorrhage; Risk factor; Location; Smoking; Hypertension
Fachgebiet (DDC):	006: Spezielle Computerverfahren 616: Innere Medizin und Krankheiten
Zusammenfassung:	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
Volltext Version:	Publizierte Version
Lizenz (gemäss Verlagsvertrag):	CC BY 4.0: Namensnennung 4.0 International
Departement:	Life Sciences und Facility Management
Organisationseinheit:	Institut für Computational Life Sciences (ICLS)
Publiziert im Rahmen des ZHAW-Projekts:	AneuX
Enthalten in den Sammlungen:	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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