Abstract
Approximately 3–4% of all patients presenting to a general emergency department (ED) have a chief complaint of dizziness [1]. Because so many different conditions can cause this symptom, physicians need to use some organized data-driven algorithmic approach that will both minimize useless testing and also help make a specific diagnosis whenever possible [2–5]. In addition, front line physicians should always attempt to exclude dangerous diagnoses that might lead to poor patient outcomes if incorrectly managed. In the USA, several billions of dollars are spent annually on ED patients with dizziness [6].
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© 2021 Società Italiana di Neurologia
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Edlow, J.A. (2021). Diagnostic Algorithm for Patients Presenting with Acute Dizziness: The ATTEST Method. In: Micieli, G., Cavallini, A., Ricci, S., Consoli, D., Edlow, J.A. (eds) Decision Algorithms for Emergency Neurology. Springer, Cham. https://doi.org/10.1007/978-3-030-51276-7_9
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DOI: https://doi.org/10.1007/978-3-030-51276-7_9
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