Frontiers in Neurology · 2021 · 19 citations · 37 references
<b>Objective:</b> The head impulse test (HIT) assesses the vestibulo-ocular reflex (VOR) and is used to differentiate vestibular neuritis (abnormal VOR) from stroke (normal VOR) in patients presenting with an acute vestibular syndrome (AVS). The video-oculography-based HIT (vHIT) quantifies VOR function and provides information imperceptible for the clinician during clinical bedside HIT. However, the vHIT-like an electrocardiogram-requires experienced interpretation, which is especially difficult in the emergency setting. This calls for a simple, reliable and rater-independent way of analysis. <b>Methods:</b> We retrospectively collected 171 vHITs performed in patients presenting with AVS to our emergency department. Three neuro-otological experts comprehensively assessed the vHITs including interpretability (artifacts), VOR gain (eye/head velocity ratio), velocity profile (abrupt decline) and corrective saccades (overt/covert). Their consensus rating (abnormal/peripheral vs. normal/central) was compared to a simple algorithm that automatically classified the vHITs based on a single VOR gain cutoff (0.7). <b>Results:</b> Inter-rater agreement between experts was high (Fleiss' kappa = 0.74). Five (2.9 %) vHITs were "uninterpretable" according to experts' consensus, 80 (46.8 %) were rated "normal" and 86 (50.3 %) "abnormal". The algorithm had substantial agreement with the experts' consensus (Cohen's kappa = 0.75). Importantly, it correctly classified all of the normal/central vHITs denoted by the experts (100% specificity) and at the same time it had sufficient sensitivity (75.6%) in detecting abnormal/peripheral vHITs. <b>Conclusion:</b> A simple, automated, gain-based evaluation of the vHIT reliably detects normal/central VOR and may be a feasible and effective tool to screen AVS patients for potentially underlying stroke in the emergency setting.
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Measuring nominal scale agreement among many raters.
Joseph L. Fleiss · Psychological Bulletin · 1971 · 8.3K citations
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HINTS to Diagnose Stroke in the Acute Vestibular Syndrome
Jorge C. Kattah, Arun Talkad, David Z. Wang et al. · Stroke · 2009 · 1.1K citations · Full text
Hamish G. MacDougall, Konrad P. Weber, Leigh A. McGarvie et al. · Neurology · 2009 · 765 citations · Full text