Location of intracranial aneurysms is the main factor associated with rupture in the ICAN population
| العنوان: | Location of intracranial aneurysms is the main factor associated with rupture in the ICAN population |
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| المؤلفون: | Hubert Desal, Romain Bourcier, O. Levrier, Gaultier Marnat, Matilde Karakachoff, Lise Bellanger, Richard Redon, Caterina Michelozzi, Philippe Bijlenga, Pacôme Constant Dit Beaufils, Pierre Aguettaz, Olivia Rousseau, Alban Gaignard, Anne-Clémence Vion, Vincent L'Allinec, Jean-Philippe Desilles, Pierre-Antoine Gourraud, Gervaise Loirand |
| المساهمون: | unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Centre hospitalier universitaire de Nantes (CHU Nantes), Laboratoire de Mathématiques Jean Leray (LMJL), Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), University of Geneva [Switzerland], Service de Radiologie [Hôpital Clairval - Marseille], Hôpital Privé Clairval [Marseille], Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Recherche Vasculaire Translationnelle (LVTS (UMR_S_1148 / U1148)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Hôpital Pierre-Paul Riquet [Toulouse], CHU Toulouse [Toulouse], CHU Bordeaux [Bordeaux], Bellanger, Lise, Unité de recherche de l'institut du thorax (ITX-lab), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), Université de Genève = University of Geneva (UNIGE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse) |
| المصدر: | Journal of Neurology, Neurosurgery and Psychiatry Journal of Neurology, Neurosurgery and Psychiatry, BMJ Publishing Group, 2021, 92 (2), jnnp-2020-324371. ⟨10.1136/jnnp-2020-324371⟩ Journal of Neurology, Neurosurgery, and Psychiatry, Vol. 92, No 2 (2021) pp. 122-128 Journal of Neurology, Neurosurgery and Psychiatry, 2021, 92 (2), jnnp-2020-324371. ⟨10.1136/jnnp-2020-324371⟩ |
| بيانات النشر: | HAL CCSD, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Male, Aneurysm, Ruptured, Logistic regression, 0302 clinical medicine, Risk Factors, Risks, 030212 general & internal medicine, education.field_of_study, Age Factors, Middle Aged, Magnetic Resonance Imaging, intracranial aneurysm, 3. Good health, Psychiatry and Mental health, machine learning, Middle cerebral artery, cardiovascular system, Cardiology, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Headaches, medicine.symptom, Internal carotid artery, Algorithms, location, medicine.medical_specialty, Decision trees, Location, Population, Neuroimaging, 03 medical and health sciences, Aneurysm, medicine.artery, Internal medicine, Machine learning, medicine, Anterior cerebral artery, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], cardiovascular diseases, Risk factor, education, Aged, Rupture, decision trees, business.industry, Intracranial aneurysm, medicine.disease, ddc:616.8, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, rupture, Surgery, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), business, Tomography, X-Ray Computed, risks, 030217 neurology & neurosurgery |
| الوصف: | Background and purposeThe ever-growing availability of imaging led to increasing incidentally discovered unruptured intracranial aneurysms (UIAs). We leveraged machine-learning techniques and advanced statistical methods to provide new insights into rupture intracranial aneurysm (RIA) risks.MethodsWe analysed the characteristics of 2505 patients with intracranial aneurysms (IA) discovered between 2016 and 2019. Baseline characteristics, familial history of IA, tobacco and alcohol consumption, pharmacological treatments before the IA diagnosis, cardiovascular risk factors and comorbidities, headaches, allergy and atopy, IA location, absolute IA size and adjusted size ratio (aSR) were analysed with a multivariable logistic regression (MLR) model. A random forest (RF) method globally assessed the risk factors and evaluated the predictive capacity of a multivariate model.ResultsAmong 994 patients with RIA (39.7%) and 1511 patients with UIA (60.3 %), the MLR showed that IA location appeared to be the most significant factor associated with RIA (OR, 95% CI: internal carotid artery, reference; middle cerebral artery, 2.72, 2.02–3.58; anterior cerebral artery, 4.99, 3.61–6.92; posterior circulation arteries, 6.05, 4.41–8.33). Size and aSR were not significant factors associated with RIA in the MLR model and antiplatelet-treatment intake patients were less likely to have RIA (OR: 0.74; 95% CI: 0.55–0.98). IA location, age, following by aSR were the best predictors of RIA using the RF model.ConclusionsThe location of IA is the most consistent parameter associated with RIA. The use of ‘artificial intelligence’ RF helps to re-evaluate the contribution and selection of each risk factor in the multivariate model. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0022-3050 1468-330X |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22eb2d6c8fa9995e2ff8b5e8922b8650Test https://hal.archives-ouvertes.fr/hal-03033899/file/Global_ICAN_RIAUIA_2020-08-26.pdfTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....22eb2d6c8fa9995e2ff8b5e8922b8650 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00223050 1468330X |
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