Conditional logistic regression analysis will be employed to assess differences between cases and matched controls by estimating odds ratios (ORs) and 95% confidence intervals (CIs). Adjusted ORs for risk factors will be derived from multivariable logistic regression models. These will include all collected variables with possible significance. Kaplan-Meier survival analysis will be used to estimate cumulative risk of mortality, recurrent vascular events and post-stroke seizure. Hazard ratios for the previously-mentioned secondary objectives will be calculated by Cox regression analysis, and assumptions of proportionality will be confirmed by time-dependent covariate analysis. All the statistical analyses will be two-sided and will use IBM SPSS 21.