Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis.
Morel S., Hostettler IC., Spinner GR., Bourcier R., Pera J., Meling TR., Alg VS., Houlden H., Bakker MK., Van't Hof F., Rinkel GJE., Foroud T., Lai D., Moomaw CJ., Worrall BB., Caroff J., Constant-Dits-Beaufils P., Karakachoff M., Rimbert A., Rouchaud A., Gaal-Paavola EI., Kaukovalta H., Kivisaari R., Laakso A., Jahromi BR., Tulamo R., Friedrich CM., Dauvillier J., Hirsch S., Isidor N., Kulcsàr Z., Lövblad KO., Martin O., Machi P., Mendes Pereira V., Rüfenacht D., Schaller K., Schilling S., Slowik A., Jaaskelainen JE., von Und Zu Fraunberg M., Jiménez-Conde J., Cuadrado-Godia E., Soriano-Tárraga C., Millwood IY., Walters RG., The neurIST Project None., The Ican Study Group None., Genetics And Observational Subarachnoid Haemorrhage Gosh Study Investigators None., International Stroke Genetics Consortium Isgc None., Kim H., Redon R., Ko NU., Rouleau GA., Lindgren A., Niemelä M., Desal H., Woo D., Broderick JP., Werring DJ., Ruigrok YM., Bijlenga P.
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.