Research On The Predictive Value Of Dementia Risk Score In Diagnosis Of Early-stage Post-stroke Cognitive Impairment

Aim:Post stroke cognitive impairment (PSCI) is an important complication of strokes.It is important to screening patients who are at high risk of developing PSCI in order for preventive measures and early intervention. We assessed whether the previously designed Dementia Risk Score, which is based on vascular risk profiles, also predicted 3-month post-stroke cognitive impairment.Methods:Our study used a single center, prospective design. According to cognitive diagnosis standards, the patients were divided into three groups:normal cognitive function,vascular mild cognitive impairment, and vascular dementia. Receiver operator characteristic curve analysis was applied to obtain the area under the curve (AUC), cut-off point, sensitivity, specificity, positive and negative predictive values.Results:Among 125 enrolled patients who suffered from acute stroke,61 patients had normal cognition(48.8%),38 patients had vascular mild cognitive impairment (30.4%), 26 patients had vascular dementia (20.8%). The AUC was 0.845 (95%CI=0.777-0.913, P< 0.0001). When the cut-off of 8 points or more was applied the sensitivity was 0.89, the specificity was 0.62, the positive predictive value was 0.71, and the negative predictive value was 0.84. The incidence of post-stroke cognitive impairment was significantly higher in patients with a Dementia Risk Score> 8, compared to those with a score<8 (odds ratio=13.5,95% confidence interval [CI]:5.3-34.5, P< 0.0001).Conclusions:The incidence of 3-month post-stroke cognitive impairment is 51.2% in our study. Dementia risk score is a practical method for the prediction of post-stroke cognitive impairment and the cut-off point is 8.