Development and validation of a novel model to predict post-stroke cognitive impairment within 6 months after acute ischemic stroke

2024

Predicting Cognitive Impairment After Stroke

Sample size: 573 publication 10 minutes Evidence: high

Author Information

Author(s): Wei Ming, Zhu Xiaofeng, Yang Xiu, Shang Jin, Tong Qiang, Han Qiu

Primary Institution: Department of Neurology, Huai’an First People’s Hospital, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China

Hypothesis

Can a clinical prediction model accurately forecast post-stroke cognitive impairment within six months after an acute ischemic stroke?

Conclusion

The developed model effectively predicts post-stroke cognitive impairment and can aid in clinical decision-making.

Supporting Evidence

The model demonstrated AUC-ROC values of 0.898, 0.847, and 0.849 in the development, internal validation, and external validation cohorts, respectively.
Statistically significant differences were found between PSCI and cognitively normal groups in various baseline characteristics.
Follow-up assessments were conducted at 1, 3, and 6 months post-discharge to evaluate cognitive status.

Takeaway

Doctors created a tool to help predict if stroke patients will have memory problems later on, which can help them get the right care sooner.

Methodology

The study involved a cohort of 573 acute ischemic stroke patients, analyzed using multifactor logistic regression to identify predictors of cognitive impairment.