Intracranial Aneurysm Classifier Using Phenotypic Factors: An International Pooled Analysis.
Sandrine MorelIsabel Charlotte HostettlerGeorg R SpinnerRomain BourcierJoanna PeraTorstein Ragnar MelingVarinder S AlgHenry HouldenMark K BakkerFemke Van't HofGabriel J E RinkelTatiana ForoudDongbing LaiCharles J MoomawBradford B WorrallJildaz CaroffPacôme Constant-Dits-BeaufilsMatilde KarakachoffAntoine RimbertAymeric RouchaudEmilia I Gaal-PaavolaHanna KaukovaltaRiku KivisaariAki LaaksoBehnam Rezai JahromiRiikka TulamoChristoph M FriedrichJerome DauvillierSven HirschNathalie IsidorZolt KulcsàrKarl O LövbladOlivier MartinPaolo MachiVitor Mendes PereiraDaniel RüfenachtKarl SchallerSabine SchillingAgnieszka SlowikJuha E JaaskelainenMikael von Und Zu FraunbergJordi Jiménez-CondeElisa Cuadrado GodiaCarolina Soriano-TárragaIona Y MillwoodRobin G Waltersnull The neurIST Projectnull The Ican Study Groupnull Genetics And Observational Subarachnoid Haemorrhage Gosh Study Investigatorsnull International Stroke Genetics Consortium IsgcHelen KimRichard RedonNerissa U KoGuy A RouleauAntti LindgrenMika NiemeläHubert DesalDaniel WooJoseph P BroderickDavid J WerringYnte M RuigrokPhilippe BijlengaPublished in: Journal of personalized medicine (2022)
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.
Keyphrases
- end stage renal disease
- newly diagnosed
- abdominal aortic aneurysm
- ejection fraction
- subarachnoid hemorrhage
- chronic kidney disease
- case report
- blood pressure
- physical activity
- peritoneal dialysis
- prognostic factors
- risk factors
- decision making
- patient reported outcomes
- coronary artery
- smoking cessation
- palliative care
- middle aged
- big data
- patient reported
- electronic health record
- brain injury
- drug induced
- clinical evaluation