Risk factors analysis of cognitive dysfunction in patients with acute stroke and establishment of risk nomogram model / 中风与神经疾病杂志

ABSTRACT

@#Objective　To explore the risk factors and risk mapping model of post-stroke cognitive dysfunction (PSCD) in patients with Acute stroke (AI).Methods　Two hundred and sixty cases of AI patients were divided into PSCD group and PSCD group according to whether the patients had PSCD.Independent risk factors affecting the occurrence of PSCD in AI patients were screened by Logistic regression analysis.R software was used to establish a risk prediction model for the screened independent risk factors,and the predictive and accuracy of the model were verified.Results　Logistic regression analysis showed that age,education level,hypertension,diabetes,physical exercise and cerebrovascular stenosis were independent risk factors for PSCD in AI patients (P<0.05),which were all highly correlated with PSCD.Based on the above 6 influencing factors,a nomogram model was established to predict PSCD in AI patients.The verification results show that the model has a high predictive performance with a C-index of 0.808 (95%CI 0.747~0.869).Conclusion　Comprehensive factors such as age,education level,hypertension,diabetes,physical exercise and cerebral vascular stenosis should be taken into account in time for AI patients,and the probability of PSCD occurrence in AI patients should be predicted through the individual line map model,and intervention measures should be taken as soon as possible to improve the prognosis of the patients.