A simulated dataset was constructed according to ICAN data-collection to approximately remodel main tables and figures.
The dataset is composed of 2505 rows (patients) et 28 variables as the original ICAN data-collection.
The outcome is the rupture.
To explain IA rupture, there are 27 explanatory variables:
- Classical patients’ characteristics:
- Age and body mass index (bmi) recorded as quantitative variables
- Sex, sporadic case recorded as binary variables
- Patients’ habits:
- Tobacco consumption recorded in 3 labels: non-smoker, minor smoker and regular smoker
- Alcohol consumption recorded as binary variable: <150g and >150g
- Intracranial aneurysm’ characteristics:
- IA location recorded in 4 labels: ICA, MCA, ACA and PCA
- Adjusted size ratio recorded as quantitative variable
- Patients’ medical treatments:
- Statins, platelet aggregation inhibiting, vitamin K antagonists (vka) or anticoagulant, anti-inflammatories and hormone therapy recorded as binary variables
- Patients’ medical history:
- Ischemic stroke, ischemic heart disease, peripheral artery disease (pad), carotid stenosis, aortic aneurysm, hypertension, headaches, diabetes, dyslipidemia, allergies, asthma, atopy and eczema recorded as binary variables