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|Publication type:||Article in scientific journal|
|Type of review:||Peer review (publication)|
|Title:||Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis|
Hostettler, Isabel C.
Spinner, Georg R.
van’t Hof, Femke
Mendes Pereira, Vitor
von und zu Fraunberg, Mikael
The @neurIST project
The ICAN Study Group
Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators
International Stroke Genetics Consortium (ISGC)
|Published in:||Journal of Personalized Medicine|
|Publisher / Ed. Institution:||MDPI|
|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.|
|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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|2022_Morel-etal_Inracranial-aneurysm-classifier.pdf||2.51 MB||Adobe PDF|
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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, 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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