Objective To evaluate and compare the predictive value of Face, Arm, Speech Test (FAST)
and Balance, Eyes, Face, Arm, Speech, Time (BEFAST) scale in the acute ischemic stroke …

Background: Use of prehospital stroke scales may enhance stroke detection and improve
treatment rates and delays. Current scales, however, may lack detection accuracy. As such …

Background: Development of acute ischemic stroke in hospitalized patients represents a
significant proportion of all cerebral ischemia. Several prehospital stroke scales were …

Background The present study aims to evaluate the performance and the clinical
applicability of the Recognition of Stroke in the Emergency Department (ROSIER) scale via …

Background: Prehospital identification of acute stroke increases the possibility of early
treatment and good outcome. To increase identification of stroke, the Face Arm Speech Time …

Background: There has been a considerable development in the clinometric of stroke. But
researchers are concerned that some scales are too generic, inherently and the insight may …

Background and Purpose—Patients with suspected stroke first assessed by ambulance
paramedics require early recognition to facilitate appropriate triage and early treatment. We …

Background and Purpose—The FAST algorithm (Face, Arm, Speech, Time) helps identify
persons having an acute stroke. We determined the proportion of patients with acute …

BACKGROUND AND PURPOSE: Although thrombolysis can be performed for acute
ischemic stroke (AIS) within 6h of onset, patients with an unknown onset time cannot receive …

Objectives: This study aimed to determine the accuracy of the Face-Arm-Speech-Time
(FAST) screening tool used by emergency medical dispatchers (EMDs) and emergency …