Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis

The @neurIST project; The ICAN Study Group; Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators; International Stroke Genetics Consortium (ISGC)

doi:10.3390/jpm12091410

Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis

The @neurIST project
, The ICAN Study Group
, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators
, International Stroke Genetics Consortium (ISGC)

Neurology

University of Geneva
University College London
Cantonal Hospital St. Gallen
Zurich University of Applied Sciences
Nantes University Hospital
Jagiellonian University Medical College
University College London Hospitals NHS Foundation Trust
Utrecht University
Indiana University Bloomington
University of Cincinnati
University of Virginia
Assistance publique – Hôpitaux de Paris
Dupuytren Hospital
Helsinki University Hospital
University of Helsinki
Biomedicum Helsinki
Dortmund University of Applied Sciences and Arts
University of Duisburg-Essen
Swiss Institute of Bioinformatics
University of Toronto
Swiss Neuroradiology Institute
Lucerne University of Applied Sciences and Arts
University of Eastern Finland
Hospital del Mar
University of Oxford
University of California at San Francisco

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Article number	1410
Journal	Journal of Personalized Medicine
Volume	12
Issue number	9
DOIs	https://doi.org/10.3390/jpm12091410
State	Published - Sep 2022

Keywords

hypertension
intracranial aneurysm
location
risk factors
smoking
subarachnoid hemorrhage

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10.3390/jpm12091410

Cite this

@article{11cf1e3538da449db50b3f210f7aa56c,

title = "Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis",

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.",

keywords = "hypertension, intracranial aneurysm, location, risk factors, smoking, subarachnoid hemorrhage",

author = "\{The @neurIST project\} and \{The ICAN Study Group\} and \{Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators\} and \{International Stroke Genetics Consortium (ISGC)\} and Sandrine Morel and Hostettler, \{Isabel C.\} and Spinner, \{Georg R.\} and Romain Bourcier and Joanna Pera and Meling, \{Torstein R.\} and Alg, \{Varinder S.\} and Henry Houlden and Bakker, \{Mark K.\} and \{van{\textquoteright}t Hof\}, Femke and Rinkel, \{Gabriel J.E.\} and Tatiana Foroud and Dongbing Lai and Moomaw, \{Charles J.\} and Worrall, \{Bradford B.\} and Jildaz Caroff and Pac{\^o}me Constant-dits-Beaufils and Matilde Karakachoff and Antoine Rimbert and Aymeric Rouchaud and Gaal-Paavola, \{Emilia I.\} and Hanna Kaukovalta and Riku Kivisaari and Aki Laakso and Jahromi, \{Behnam Rezai\} and Riikka Tulamo and Friedrich, \{Christoph M.\} and Jerome Dauvillier and Sven Hirsch and Nathalie Isidor and Zolt Kulcs{\`a}r and L{\"o}vblad, \{Karl O.\} and Olivier Martin and Paolo Machi and \{Mendes Pereira\}, Vitor and Daniel R{\"u}fenacht and Karl Schaller and Sabine Schilling and Agnieszka Slowik and Jaaskelainen, \{Juha E.\} and \{von und zu Fraunberg\}, Mikael and Jordi Jim{\'e}nez-Conde and Elisa Cuadrado-Godia and Carolina Soriano-T{\'a}rraga and Millwood, \{Iona Y.\} and Walters, \{Robin G.\} and Helen Kim and Richard Redon and Ko, \{Nerissa U.\} and Daniel Woo",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",

year = "2022",

month = sep,

doi = "10.3390/jpm12091410",

language = "English",

volume = "12",

journal = "Journal of Personalized Medicine",

issn = "2075-4426",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "9",

}

TY - JOUR

T1 - Intracranial Aneurysm Classifier Using Phenotypic Factors

T2 - An International Pooled Analysis

AU - The @neurIST project

AU - The ICAN Study Group

AU - Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators

AU - International Stroke Genetics Consortium (ISGC)

AU - Morel, Sandrine

AU - Hostettler, Isabel C.

AU - Spinner, Georg R.

AU - Bourcier, Romain

AU - Pera, Joanna

AU - Meling, Torstein R.

AU - Alg, Varinder S.

AU - Houlden, Henry

AU - Bakker, Mark K.

AU - van’t Hof, Femke

AU - Rinkel, Gabriel J.E.

AU - Foroud, Tatiana

AU - Lai, Dongbing

AU - Moomaw, Charles J.

AU - Worrall, Bradford B.

AU - Caroff, Jildaz

AU - Constant-dits-Beaufils, Pacôme

AU - Karakachoff, Matilde

AU - Rimbert, Antoine

AU - Rouchaud, Aymeric

AU - Gaal-Paavola, Emilia I.

AU - Kaukovalta, Hanna

AU - Kivisaari, Riku

AU - Laakso, Aki

AU - Jahromi, Behnam Rezai

AU - Tulamo, Riikka

AU - Friedrich, Christoph M.

AU - Dauvillier, Jerome

AU - Hirsch, Sven

AU - Isidor, Nathalie

AU - Kulcsàr, Zolt

AU - Lövblad, Karl O.

AU - Martin, Olivier

AU - Machi, Paolo

AU - Mendes Pereira, Vitor

AU - Rüfenacht, Daniel

AU - Schaller, Karl

AU - Schilling, Sabine

AU - Slowik, Agnieszka

AU - Jaaskelainen, Juha E.

AU - von und zu Fraunberg, Mikael

AU - Jiménez-Conde, Jordi

AU - Cuadrado-Godia, Elisa

AU - Soriano-Tárraga, Carolina

AU - Millwood, Iona Y.

AU - Walters, Robin G.

AU - Kim, Helen

AU - Redon, Richard

AU - Ko, Nerissa U.

AU - Woo, Daniel

PY - 2022/9

Y1 - 2022/9

N2 - 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.

AB - 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.

KW - hypertension

KW - intracranial aneurysm

KW - location

KW - risk factors

KW - smoking

KW - subarachnoid hemorrhage

UR - https://www.scopus.com/pages/publications/85138705140

U2 - 10.3390/jpm12091410

DO - 10.3390/jpm12091410

M3 - Article

AN - SCOPUS:85138705140

SN - 2075-4426

VL - 12

JO - Journal of Personalized Medicine

JF - Journal of Personalized Medicine

IS - 9

M1 - 1410

ER -

Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis

Abstract

Keywords

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