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Published on: September 16, 2017
The Ischemic Stroke Predictive Risk Score Predicts Early Neurological Deterioration
Young Dae Kim1, Hye-Yeon Choi2, Yo Han Jung3
1Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea; Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
The ischemic stroke predictive risk score (iScore) can help predict early neurological deterioration (END) in acute stroke patients. This score is associated with a higher risk of END, aiding in better patient outcome prediction.
Area of Science:
- Neurology
- Stroke Medicine
- Clinical Prediction Models
Background:
- Early neurological deterioration (END) in acute stroke is linked to poor outcomes.
- Predicting END remains a challenge in stroke management.
- The ischemic stroke predictive risk score (iScore) predicts mortality.
Purpose of the Study:
- To evaluate if the iScore differs based on END occurrence.
- To determine the relationship between the iScore and END.
- To assess the iScore's predictive ability for END.
Main Methods:
- Data from 2150 ischemic stroke patients were analyzed.
- END defined as a ≥4 increase in NIH Stroke Scale score within 72 hours.
- The 30-day iScore was calculated for each patient.
Main Results:
- END occurred in 6.8% of patients (146/2150).
- A positive correlation was found between iScore and END occurrence.
- The iScore was independently associated with END (OR 1.217 per 20-point increase).
Conclusions:
- The iScore demonstrates predictive capability for END in acute stroke.
- This score can identify patients at risk of neurological worsening.
