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A Multicenter Diagnostic Accuracy Study on Prehospital Stroke Screening Scales
Peyman Saberian1,2, Hosein Rafiemanesh3, Farhad Heydari4
1Prehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Prompt stroke identification is crucial for effective treatment. Highly sensitive pre-hospital stroke screening tests like CPSS, FAST, and Med PACS show promise, though none achieved ideal specificity.
Area of Science:
- Neurology
- Emergency Medicine
- Diagnostic Accuracy Studies
Background:
- Stroke is a leading cause of disability, necessitating rapid diagnosis, especially pre-hospital.
- Effective stroke treatment relies on timely intervention within a critical time window.
- Clinical scales are increasingly used for early stroke detection in pre-hospital settings.
Purpose of the Study:
- To evaluate the diagnostic accuracy of eight pre-hospital clinical stroke scales.
- To compare the sensitivity and specificity of various stroke screening tools.
- To identify the most effective scales for pre-hospital stroke diagnosis.
Main Methods:
- A multicenter diagnostic accuracy study involving 805 patients suspected of stroke.
- Data collected via a checklist including demographics, physical findings, and final diagnosis via brain MRI (gold standard).
- Analysis of 19 physical examination items across 8 distinct clinical scales.
Main Results:
- Accuracy ranged from 63.0% to 84.4%; sensitivity from 71.9% to 95.7%; specificity from 46.5% to 82.8%.
- Medic Prehospital Assessment for Code Stroke (Med PACS) demonstrated the highest sensitivity (approx. 95%).
- Los Angeles Pre-Hospital Stroke Screening (LAPSS) showed the highest specificity (approx. 82.8%) but lowest sensitivity.
Conclusions:
- Cincinnati Prehospital Stroke Scale (CPSS), Face-Arm-Speech-Time (FAST), and Med PACS offer high sensitivity (around 95%) for stroke screening.
- No single scale achieved high specificity (above 95%) across all evaluated cut-offs.
- Further refinement of stroke scales is needed to improve specificity for accurate pre-hospital diagnosis.
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