Risk factors for and the prediction of cognitive dysfunction early after a stroke in some hospital of Qinghai Province
10.3760/cma.j.issn.0254-1424.2023.07.004
- VernacularTitle:青海省部分医院急性期脑卒中患者认知功能障碍的影响因素分析及预测模型构建
- Author:
Xiaofang LI
1
;
Yuemei LI
;
Shengxiu ZHAO
;
Xiaorong CHEN
;
Limei WANG
;
Xiaoxia ZHANG
Author Information
1. 青海省人民医院，西宁 810007
- Keywords:
Stroke;
Cognitive impairment;
Risk factors;
Prediction;
High altitude
- From:
Chinese Journal of Physical Medicine and Rehabilitation
2023;45(7):598-603
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the local prevalence of early cognitive dysfunction after a stroke in some hospital of Qinghai province, analyze its risk factors and construct a risk factor model.Methods:A prospective cross-sectional survey was conducted among 854 stroke patients at 3 hospitals in Qinghai Province. The survey solicited demographic data, clinical data, and information about the respondents′ diet and leisure activities. Within 14 days after stroke onset, all of the participants′ cognitive performance was quantified using the Mini-Mental State Examination (MMSE). Those with scores ≤27 formed the cognitive impairment group ( n=569), while the rest were the normal cognition group ( n=285). Through univariate analysis and multivariate logistic regression analysis, the relationship between each factor and the outcome was clarified, and a prediction model was established in the form of a regression equation. The model′s receiver operating characteristics (ROC) curve was computed. Results:The incidence of acute cognitive impairment after stroke was 66.6%. Univariate analysis showed that there were significant differences between the two group in terms of age, sex, ethnicity, education, occupation, altitude, living with a spouse and social support. Stroke type, hemiplegia, a history of hypertension, and triglyceride and D-2 polymer levels were significant predictors, as were ADL score, leisure activity level, and weekly consumption of fruits, nuts and salt. The multivariate logistic regression analysis showed that age, being female, hemorrhagic stroke, hypertension, and living at high altitude were independent risk factors for cognitive impairment at the acute stage of stroke. However, education, occupation, leisure activity and consumption of triglycerides and nuts were independent protective factors. The prediction model showed an area under the ROC curve of 0.832, with sensitivity of 0.698 and specificity of 0.814.Conclusions:The prevalence of cognitive dysfunction in the acute stage of stroke is high in some hospital of Qinghai province. Age, being female, hemorrhagic stroke, hypertension and high altitude living are independent risk factors for stroke, while education, an occupation, leisure activity and triglyceride and nut consumption are protective factors. The risk factor model established in this study has good predictive ability with this population, with whom it can be used to formulate interventions to improve the life quality of stroke survivors.
