Previous studies have revealed that the predictors of short- and long-term stroke recurrence are different. We designed a comprehensive stroke recurrence (CSR) model, composed of demographic, clinical and radiological findings, to predict long-term ischaemic stroke recurrences.We retrospectively collected the derivation cohort from consecutive patients with first-ever ischaemic stroke within 7 days of symptom onset. Univariate and multivariable Cox regression analysis were used to evaluate the association between 2-year recurrence and demographic, clinical and neuroradiological factors. The CSR score was calculated by adding the integer value of independent predictors that was derived from the β-coefficient in the multivariable analysis. To qualify the model, we analyzed the receiver operating characteristics curve. We assessed internal validation with bootstrap methods and assessed external validation with another independent cohort.A total of 958 patients were enrolled, and 63 patients had recurrent strokes during the follow-up periods. The rate of stroke recurrence was 7.0

作者：K-W, Nam；H-M, Kwon；J-S, Lim；M-K, Han；Y-S, Lee

来源：European journal of neurology 2017 年