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Updated: Jan 31, 2026
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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
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Predicting Early Mortality of Acute Ischemic Stroke
Thomas Gattringer1, Alexandra Posekany2, Kurt Niederkorn1
1From the Department of Neurology, Medical University of Graz, Austria (T.G., K.N., B.P., C.E., F.F.).
Stroke
|December 25, 2018
Summary
We developed a simple score to predict early death in ischemic stroke patients within 7 days. This tool aids clinicians in making crucial management and counseling decisions for stroke care.
Area of Science:
- Neurology
- Clinical Medicine
- Public Health
Background:
- Mid- and long-term mortality predictors for ischemic stroke are established.
- Predictors of early stroke mortality are less understood but clinically relevant.
Purpose of the Study:
- To develop a tool for rapidly predicting early mortality in ischemic stroke patients.
- To identify key demographic and clinical factors associated with short-term stroke mortality.
Main Methods:
- Utilized data from the Austrian Stroke Unit Registry.
- Employed multivariate regularized logistic regression to identify mortality predictors.
- Developed and validated the Predicting Early Mortality of Ischemic Stroke (PEMIS) score.
Main Results:
- Analyzed 77,653 ischemic stroke patients; 2% in-hospital mortality.
- Identified age, stroke severity (NIHSS), prestroke disability (mRS), heart disease, diabetes, posterior circulation stroke, and nonlacunar cause as mortality predictors.
- PEMIS score (0-12 points) demonstrated strong predictive accuracy (AUC 0.879-0.884).
- A score ≥10 indicated a 35% risk of early death.
Conclusions:
- A simple, validated score (PEMIS) effectively estimates early mortality risk in ischemic stroke patients.
- The PEMIS score can assist clinicians in short-term prognostication and patient management.
- Facilitates informed decision-making and counseling for patients treated at stroke units.
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