TY - JOUR
T1 - Intracranial Aneurysm Classifier Using Phenotypic Factors
T2 - An International Pooled Analysis
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 - Lindgren, Antti
AU - Ruigrok, Ynte M.
N1 - Funding Information:
The @neurIST project was supported by the 6th framework program of the European Commission (FP6-IST-2004-027703). Geneva data collection was part of the AneuX project supported by the Swiss SystemsX.ch initiative (PB), evaluated by the Swiss National Science Foundation, and which also funded the SyBIT project (web applications for data exploration). YMR has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (PRYSM, grant agreement No. 852173). MKB and YMR were supported by the Netherlands Cardiovascular Research Initiative: An initiative with support of the Dutch Heart Foundation, CVON2015-08 ERASE. DW was supported by NIH Funding. RR was supported by the French Regional Council of Pays-de-la-Loire (VaCaRMe program) and the Agence Nationale de la Recherche (ANR-15-CE17-0008-01 to G.L). HD and RB were supported by the French Ministry of Health (Clinical trial NCT02848495 to HD), the Genavie Foundation, the Société Française de Radiologie and the Société Française de Neuroradiologie. JJC and ECG were supported in part by Spain’s Ministry of Health (Instituto de Salud Carlos III Fondo de Investigaciones sanitarias P19/00011 and by “RICORS-ICTUS RD21/0006/0021). GAR was supported by the Canadian Institutes of Health Research. MN was supported by the Helsinki University Central Hospital EVO grant TYH2018316. The GOSH study was funded by the Stroke Association. Funders were not involved in the study design, in the analysis of the data or in the interpretation of the results.
Publisher Copyright:
© 2022 by the authors.
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 - http://www.scopus.com/inward/record.url?scp=85138705140&partnerID=8YFLogxK
U2 - 10.3390/jpm12091410
DO - 10.3390/jpm12091410
M3 - Article
AN - SCOPUS:85138705140
SN - 2075-4426
VL - 12
SP - 1
EP - 14
JO - Journal of Personalized Medicine
JF - Journal of Personalized Medicine
IS - 9
M1 - 1410
ER -