Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model
Authors: Spinner, Georg R.
Delucchi, Matteo
Morel, Sandrine
Bijlenga, Philippe
Hirsch, Sven
et. al: No
Proceedings: CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering
Editors of the parent work: Nithiarasu, Perumal
Vergara, Christian
Volume(Issue): 1
Page(s): 72
Pages to: 75
Conference details: 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022
Issue Date: 2022
Publisher / Ed. Institution: Computational and scientific consultancy services
Publisher / Ed. Institution: United Kingdom
ISBN: 978-0-9562914-6-2
ISSN: 2227-9385
2227-3085
Language: English
Subjects: Intracranial aneurysm; Survival analysis; Kaplan-Meier; Cox proportional hazards regression
Subject (DDC): 510: Mathematics
616.8: Neurology, diseases of nervous system
Abstract: Intracranial aneurysms (IAs) are a dynamically evolving disease with severe or fatal consequences of IA rupture. Survival analysis methods were used to gain insights into the influence of routinely acquired clinical risk factors onto IA rupture. Patient data consisting of 788 records from the Geneva university hospitals was analyzed. For this censored data, Kaplan-Meier analysis together with Cox regression using proportional hazards were employed to determine the influence of the risk factors. Smoking males with large IAs in high-risk locations had the highest risk for early IA rupture. Patients who were aware of hypertension (irrespective of treatment), stopped smoking and with a positive family history had a reduced rupture risk.
URI: https://www.compbiomed.net/getfile.php?type=16/site_documents&id=CMBE%202022%20Proceedings%20volume1.pdf
https://digitalcollection.zhaw.ch/handle/11475/25476
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.