• Simone Vanni, Paolo Vannucchi, Rudi Pecci, Giuseppe Pepe, Maurizio Paciaroni, Andrea Pavellini, Mattia Ronchetti, Lorenzo Pelagatti, Maurizio Bartolucci, Angela Konze, Andrea Castellucci, Marco Manfrin, Andrea Fabbri, Fabio de Iaco, Augusto Pietro Casani, and Società Italiana di Medicina d’Emergenza Urgenza [SIMEU], Società Italiana di Vestibologia [VIS].
• Dipartimento di Medicina Sperimentale e Clinica, Università degli studi di Firenze, Largo Brambilla 3, 50134, Florence, Italy. simone.vanni@unifi.it.
• Intern Emerg Med. 2024 Aug 1; 19 (5): 118112021181-1202.

AbstractAcute vertigo is defined as the perception of movement of oneself or the surroundings in the absence of actual motion and it is a frequent cause for emergency department admissions. The utilization of medical resources and the duration of hospital stay for this kind of symptom is high. Furthermore, the efficiency of brain imaging in the acute phase is low, considering the limited sensitivity of both CT and MRI for diagnosing diseases that are the causes of central type of vertigo. Relying on imaging tests can provide false reassurance in the event of negative results or prolong the in-hospital work-up improperly. On the other hand, clinical examinations, notably the assessment of nystagmus' features, have proven to be highly accurate and efficient when performed by experts. Literature data point out that emergency physicians often do not employ these skills or use them incorrectly. Several clinical algorithms have been introduced in recent years with the aim of enhancing the diagnostic accuracy of emergency physicians when evaluating this specific pathology. Both the 'HINTS and 'STANDING' algorithms have undergone external validation in emergency physician hands, showing good diagnostic accuracy. The objective of this consensus document is to provide scientific evidence supporting the clinical decisions made by physicians assessing adult patients with acute vertigo in the emergency department, particularly in cases without clear associated neurological signs. The document aims to offer a straightforward and multidisciplinary approach. At the same time, it tries to delineate benchmarks for the formulation of local diagnostic and therapeutic pathways, as well as provide a base for the development of training and research initiatives.© 2024. The Author(s).

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