ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026
A digital neurotology history: Characteristics and inter-rater reliability.
Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeDizziness is a common presenting symptom that is often misdiagnosed. The first step towards diagnosis of the underlying vestibular disorder is recognition of the vestibular syndrome, after which targeted examination and testing provide the diagnosis. We therefore developed and evaluated a digital history tool to aid clinicians in selecting the correct vestibular syndrome.
methodWe administered a 21-item symptom questionnaire to 201 patients at a tertiary-referral outpatient clinic and 54 patients in an emergency department. Two clinicians classified each patient with one or more of four syndromes: acute vestibular syndrome (AVS), episodic positional vertigo (EPV), episodic spontaneous vertigo (ESV) or chronic vestibular syndrome (CVS). We assessed inter-rater agreement in both locations and compared the syndromic diagnosis with a gold standard diagnosis in the outpatient clinic.
resultsInter-rater agreement was 0.66 in the outpatient clinic and 0.78 in emergency (Cohen's κ, p < 0.001). In outpatients, gold standard syndromic diagnoses were 11 AVS, 57 EPV, 88 ESV and 45 CVS. Sensitivity was greatest for ESV (86.4%), and moderate for AVS (54.5%), EPV (71.9%) and CSV (62.2%). Automated classification using if/then rules and logistic regression analyses produced similar outcomes.
conclusionOur history tool provided good reproducibility and accuracy in syndromic classification, showing promise for translation to frontline settings.
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