Risk factors analysis of cognitive dysfunction in patients with acute stroke and establishment of risk nomogram model
10.19845/j.cnki.zfysjjbzz.2020.0477
- VernacularTitle:急性脑卒中患者发生认知功能障碍的危险因素分析及风险列线图模型的建立
- Author:
Fuqin ZHANG
1
;
Hua ZHONG
1
;
Lili ZHU
1
Author Information
1. Dpartment of Acupuncture,Chongqing traditional Chinese Medicine Hospital,Chongqing 400021,China
- Publication Type:Journal Article
- Keywords:
Acute stroke;
Cognitive dysfunction;
Risk factors;
The column chart
- From:
Journal of Apoplexy and Nervous Diseases
2020;37(10):886-890
- CountryChina
- Language:Chinese
-
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.
- Full text:2024073118255578116Risk factors analysis of cognitive dysfunction in patients with acute stroke and establishment of risk nomogram model.pdf
