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Effectiveness of the STANDING Algorithm for the Differential Diagnosis of Vertigo

Diagnostic Accuracy of the STANDING Algorithm for the Differential Diagnosis of Vertigo in the Emergency Department: a Multicenter Study.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06515951
Acronym
STANDING-M
Enrollment
456
Registered
2024-07-23
Start date
2022-06-09
Completion date
2023-11-01
Last updated
2024-07-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Vertigo

Keywords

Central vertigo, Peripheral vertigo, Ischemic stroke

Brief summary

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.

Detailed description

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.

Interventions

DIAGNOSTIC_TESTSTANDING algorithm

The STANDING algorithm is composed by four steps. The first phase consists in evaluating the presence of spontaneous nystagmus at rest for at least five minutes with and without Frenzel goggles in order to assess if a acute vestibular syndrome is present. If there is not a spontaneous nystagmus, then positional maneuvers (Pagnini-Mc Cure and Dix-Hallpike) have to be performed. Otherwise if spontaneous nystagmus is observed, its feature are fundamental to diagnose a central vertigo. If nystagmus characteristics suggest a peripheral form, the head impulse test is performed by instructing the patient to keep eyes on a fixed target and then turned the head quickly. An abnormal response is typical of vestibular neuritis. In any cases after the described maneuvers, the patient must be evaluated when standing up and walking: if this turn out to be impossibile, the test is indicative of central nervous system disease.

Sponsors

Ospedale San Giuseppe di Empoli
CollaboratorOTHER
Ospedale Santo Stefano
CollaboratorOTHER
Azienda USL Toscana Nord Ovest
CollaboratorOTHER
Azienda Ospedaliero-Universitaria Careggi
CollaboratorOTHER
Peiman Nazerian
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* patients over 18 years of age. * patients affected by vertigo, dizziness or balance disorder.

Exclusion criteria

* age under 18. * patients unable to cooperate (with severe dementia or incapable to provide consensus). * patients affected by disease of cervical spine or any trauma of this part of body that contraindicate the manipulation of neck. * impractical follow-up. * dying patient (less three estimated months to live). * patients with neurologic deficit identified during triage examination (Cincinnati Prehospital stroke scale, CPSS\>0) of suffering from another disease that can be the cause of dizziness/balance disorder (e.g. anemia, arrhythmia, hypoglycemia, alcoholic intoxication). * patients without symptoms at the time of examination. * patients who deny the participation in the study.

Design outcomes

Primary

MeasureTime frameDescription
Accuracy of STANDING algorithm for the diagnosis of types of vertigo.Thirty daysAccuracy (proportion of true positive and negative cases among the total number of cases examined) together with sensitivity, specificity, negative and positive predictive values, negative and positive likelihood ratios of STANDING algorithm performed by emergency physicians to distinguish central and peripheral vertigo.

Secondary

MeasureTime frameDescription
Change in the use of neuroimagingThirty daysEvaluation if the use of STANDING algorithm can reduce the number neuroimaging (a composite of CT of the head and brain MRI) exams performed in patients with suspected central vertigo according to the STANDING algorithm.
Safety of hospital dischargeThirty daysEvaluation if the use of STANDING algorithm allows a safe discharge of patients with diagnosis of benign vertigo. At 1 month follow-up we evaluate the composite of: number of readmissions for stroke, need for cerebral revasculation procedures, for neurosurgery or all cause death or death for stroke) in patients without suspected central vertigo according to the STANDING algorithm.
Accuracy for diagnosis of strokeThirty daysAccuracy (proportion of true positive and negative cases of stroke among the total number of cases examined)
Change in the use of specialist consultantthirty daysEvaluation if the use of STANDING algorithm can reduce the number of specialist medical consultations (composite of neurological and ENT consultations) performed in patients with suspected central vertigo according to the STANDING algorithm.

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026