STANDING-M Study: Diagnostic Accuracy of the STANDING Algorithm for Vertigo
Ronchetti et al., Emergency Medicine Journal, August 2025
PMID: 40730460 โข DOI: 10.1136/emermed-2025-214902
๐ Conclusions
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The STANDING algorithm is:
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Highly accurate for ruling out central causes of vertigo
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Especially useful as a screening tool given its very high NPV
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Associated with:
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Lower neuroimaging use
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Shorter ED length of stay
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Provides a safe and efficient alternative to imaging-heavy evaluation
๐จโ๏ธ Clinical Implications for Emergency Physicians
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Consider implementing STANDING in your ED after appropriate training
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Use it as a rule-out tool for central vertigo in low-risk, isolated vertigo presentations
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Reduces reliance on CT, which has limited utility in detecting posterior circulation stroke
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Training matters: ensure clinicians are skilled in the maneuver for best results
๐งช Study Design
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Prospective, multicentre cohort study
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Conducted in 4 EDs across Tuscany (1 hub, 3 spokes)
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Adult patients presenting with isolated vertigo
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Diagnostic pathways:
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STANDING group: examined by trained EP using the algorithm
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Usual care group: examined by non-trained EPs
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Final diagnosis adjudicated by expert panel with 30-day follow-up
๐ Results
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Total patients: 456
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STANDING group: 242 (53%)
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Usual care: 214 (47%)
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Prevalence of central vertigo: 8.6%
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Ischemic stroke: 4.2%
๐ Diagnostic Accuracy of STANDING
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Sensitivity: 88.2%
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Specificity: 91.6%
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Positive Predictive Value (PPV): 44.1%
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Negative Predictive Value (NPV): 99.0%
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Compared to usual care:
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Lower specificity (36.5%)
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Lower PPV (14.7%)
๐ง Resource Utilization
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CT head usage:
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STANDING: 48.3%
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Usual care: 66.8% (pโฏ<โฏ0.05)
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Median ED Length of Stay:
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STANDING: 271 min
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Usual care: 339 min (pโฏ<โฏ0.05)
Ronchetti, M., Bartalucci, P., Pepe, G., Canaroli, G., Magazzini, S., De Curtis, E., Di Sacco, F., Bartolucci, M., Pecci, R., Casula, C. and Pelagatti, L., 2025. Diagnostic accuracy of the STANDING algorithm in patients with isolated vertigo: a multicentre prospective study (STANDING-M). Emergency Medicine Journal.