A Simple Gain-Based Evaluation of the Video Head Impulse Test Reliably Detects Normal Vestibulo-Ocular Reflex Indicative of Stroke in Patients With Acute Vestibular Syndrome

Björn Machner; Kira Erber; Jin Hee Choi; Andreas Sprenger; Christoph Helmchen; Peter Trillenberg

doi:10.3389/fneur.2021.741859

A Simple Gain-Based Evaluation of the Video Head Impulse Test Reliably Detects Normal Vestibulo-Ocular Reflex Indicative of Stroke in Patients With Acute Vestibular Syndrome

Front Neurol. 2021 Oct 29:12:741859. doi: 10.3389/fneur.2021.741859. eCollection 2021.

Authors

Björn Machner¹, Kira Erber², Jin Hee Choi¹, Andreas Sprenger¹, Christoph Helmchen¹, Peter Trillenberg¹

Affiliations

¹ Department of Neurology, University Hospitals Schleswig-Holstein, Lübeck, Germany.
² Department of Anesthesiology and Intensive Care, University Hospitals Schleswig-Holstein, Lübeck, Germany.

Abstract

Objective: 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. Methods: 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). Results: 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. Conclusion: 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.

Keywords: dizziness; emergency department (ED); stroke; vertigo; video-HIT.