Diagnostic Accuracy of the STANDING Algorithm for the Differential Diagnosis of Vertigo in the Emergency Department: a Multicenter Study.
Diagnostic Accuracy of the STANDING Algorithm for the Differential Diagnosis of Vertigo in the Emergency Department: a Multicenter Study.
Differential diagnosis of vertigo is complex especially in emergency department, nevertheless it is crucial. The aim of this study is to assess the accuracy of STANDING algorithm for discriminate central from peripheral type of vertigo, identifying more easily the presence of ischemic stroke.
Vertigo represents a common medical problem which afflicts about 20-30% of the population and it is a frequent cause of abstention from work and disability. In most cases it is provoked by a benign disease of inner ear, however it can be the main symptom of a more dangerous illness like ischemic or hemorragic stroke, cerebral neoplasm or demyelinating disease. Indeed, vertigo is the prevailing clinical problem in patients with misdiagnosed ischemic stroke, leading to an increase of mortality in the acute phase of disease. In the current state, two diagnostic algorithm have been proposed for the evaluation of acute vertigo, named with the acronyms HINTS and STANDING. The former is characterized by high sensibility and specificity when utilized by a specialist physician, but it is cumbersome to used in emergency department. Conversely, the latter has been validated exactly in this setting and comprises the evaluation of benign paroxysmal positional vertigo and of upright position. The aim of this study is to estimate the accuracy of STANDING algorithm in differentiating peripheral vertigo from central from, in particular ischemic stroke, and its potential usefulness in decreasing the use of neuroimaging and specialist consultant.
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Empoli, Firenze 50053, Italy