Abstract:

Objective To conduct a scoping review of risk prediction models for cognitive impairment after ischemic stroke both domestically and internationally，aiming to provide references for clinical nursing practice and subsequent research. Methods A comprehensive search was conducted in 9 Chinese and English databases from the establishment of the databases to March 2，2025. The incidence of cognitive impairment after ischemic stroke，the predictive factors included in the models，the modeling methods，and performance indicators were extracted and summarized. Results A total of 24 studies were included. The incidence of cognitive impairment after ischemic stroke ranged from 30.4% to 57.4%. The number of predictive factors included in each study ranged from 1 to 17，with age and education level were the most frequently included factors. The modeling methods were logistic regression and machine learning. The area under the curve（AUC） values of the included models ranged from 0.65 to 0.98. Conclusion The existing models generally have a high risk of bias and significant performance differences. In the future，the quality of models should be comprehensively enhanced through reasonable inclusion of predictive factors，proper handling of missing data，and strengthening of internal validation and external validation.

Key words: Ischemic Stroke, Stroke, Cognitive Impairment, Risk Prediction, Scoping Review, Nursing Care