Development of a Risk Tracking Model for Neurological Deterioration in Ischemic Stroke Based on Blood Pressure...

Area of Science:

• Neurology
• Cardiology
• Biomedical Engineering

Background:

• Neurological deterioration (ND) is a significant risk for ischemic stroke patients.
• Blood pressure fluctuations are strongly linked to the progression of ND.
• Timely identification of high-risk periods is crucial for effective intervention.

Purpose of the Study:

• To develop a predictive model for real-time tracking of ND risk in ischemic stroke patients.
• To identify critical time windows for potential intervention based on blood pressure trends.
• To integrate clinical parameters and continuous blood pressure monitoring for enhanced risk prediction.

Main Methods:

• Recruited 3906 ischemic stroke patients.
• Developed an initial multinomial logistic regression model using clinical parameters.
• Introduced an iterative risk-tracking model incorporating continuously updated blood pressure measurements.
• Integrated both models to assess combined discriminative capacity and clinical utility.

Main Results:

• ND rates were 6.1% within 12 hours and 7.3% between 12-72 hours post-arrival.
• The iterative model forecasted ND within a 12-hour window at each measurement.
• Integrated models achieved an AUC of 0.68-0.76 for ND risk identification within 12 hours.
• Combined model showed comparable or higher specificity and positive predictive values.

Conclusions:

• A novel approach for real-time ND risk monitoring in ischemic stroke patients was developed.
• Blood pressure trends effectively identify critical periods for intervention.
• The model enhances timely detection and management of neurological deterioration.