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Development and Validation of a Nomogram for Predicting Model for Delirium After Stroke
Chuyun Cui1, Guoqing Han1, Yandi Wang1
1Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China.
Asian Nursing Research
|February 26, 2025
Summary
This study identified key risk factors for delirium in stroke patients, including age, vision problems, infection, and NIHSS score. A validated nomogram model aids in predicting and preventing post-stroke delirium.
Area of Science:
- Neurology
- Geriatrics
- Critical Care Medicine
Background:
- Delirium is a common and serious complication following stroke.
- Early identification of patients at risk for delirium is crucial for timely intervention.
Purpose of the Study:
- To identify independent risk factors for delirium in stroke patients.
- To develop and validate a nomogram for predicting post-stroke delirium.
Main Methods:
- A cohort of 502 stroke patients was analyzed.
- Univariate and multifactorial logistic regression identified risk factors.
- A nomogram was developed and internally/externally validated.
Main Results:
- Independent risk factors identified: age, abnormal vision, post-stroke infection, NIHSS score, and physical restraint.
- The nomogram demonstrated good predictive performance (C-index=0.92, sensitivity=83.0%, specificity=90.0%).
Conclusions:
- A validated nomogram effectively predicts delirium in stroke patients.
- This tool can assist clinicians in identifying high-risk individuals for targeted prevention and management strategies.
