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Journal Articles Journal of Personalized Medicine Year : 2022

Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis

Sandrine Morel
Isabel Hostettler
Georg Spinner
  • Function : Author
Romain Bourcier
  • Function : Author
Joanna Pera
Torstein Meling
Varinder Alg
  • Function : Author
Henry Houlden
  • Function : Author
Mark Bakker
Femke Van’t Hof
  • Function : Author
Gabriel Rinkel
  • Function : Author
Tatiana Foroud
  • Function : Author
Dongbing Lai
Charles Moomaw
  • Function : Author
Bradford Worrall
  • Function : Author
Jildaz Caroff
  • Function : Author
Pacôme Constant-Dits-Beaufils
  • Function : Author
Matilde Karakachoff
  • Function : Author
Aymeric Rouchaud
  • Function : Author
Emilia Gaal-Paavola
  • Function : Author
Hanna Kaukovalta
  • Function : Author
Riku Kivisaari
  • Function : Author
Aki Laakso
  • Function : Author
Behnam Rezai Jahromi
Riikka Tulamo
  • Function : Author
Christoph Friedrich
Jerome Dauvillier
  • Function : Author
Sven Hirsch
Nathalie Isidor
  • Function : Author
Zolt Kulcsàr
  • Function : Author
Karl Lövblad
  • Function : Author
Olivier Martin
  • Function : Author
Paolo Machi
  • Function : Author
Vitor Mendes Pereira
  • Function : Author
Daniel Rüfenacht
  • Function : Author
Karl Schaller
  • Function : Author
Sabine Schilling
  • Function : Author
Agnieszka Slowik
  • Function : Author
Juha Jaaskelainen
  • Function : Author
Mikael von Und zu Fraunberg
  • Function : Author
Jordi Jiménez-Conde
  • Function : Author
Elisa Cuadrado-Godia
Carolina Soriano-Tárraga
  • Function : Author
Iona Millwood
  • Function : Author
Robin Walters
  • Function : Author
Helen Kim
  • Function : Author
Richard Redon
  • Function : Author
Nerissa Ko
  • Function : Author
Guy Rouleau
  • Function : Author
Antti Lindgren
  • Function : Author
Mika Niemelä
  • Function : Author
Hubert Desal
  • Function : Author
Daniel Woo
  • Function : Author
Joseph Broderick
  • Function : Author
David Werring
  • Function : Author
Ynte Ruigrok
  • Function : Author
Philippe Bijlenga

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.

Dates and versions

hal-04060055 , version 1 (05-04-2023)

Identifiers

Cite

Sandrine Morel, Isabel Hostettler, Georg Spinner, Romain Bourcier, Joanna Pera, et al.. Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis. Journal of Personalized Medicine, 2022, 12 (9), pp.1410. ⟨10.3390/jpm12091410⟩. ⟨hal-04060055⟩
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