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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File | Description | Size | Format | |
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2022_Morel-etal_Inracranial-aneurysm-classifier.pdf | 2.51 MB | Adobe PDF | View/Open |
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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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