[Acute vestibular syndrome in emergency departments : Clinical differentiation of peripheral and central vestibulopathy]

Accuracy of the Bedside Examination in Patients With Suspected Acute Unilateral Peripheral Vestibulopathy

OBJECTIVE

Acute unilateral peripheral vestibulopathy (AUPVP) is a frequent form of peripheral vestibular vertigo characterized by unilateral vestibular organ dysfunction. Diagnostic challenges in anamnesis and bedside examination can lead to potential misdiagnoses. This study investigated the sensitivity of bedside examinations in diagnosing AUPVP.

METHODS

This retrospective analysis examined 136 AUPVP inpatients at a level 3 university hospital between 2017 and 2019. Demographic data and bedside test results were collected. Instrumental otoneurological tests included caloric testing and video head impulse test (HIT). The sensitivity of each bedside parameter was computed based on the instrumental diagnostics, and statistical analyses were performed.

RESULTS

The study included 76 men and 60 women, with a mean age of 59.2 years. Spontaneous nystagmus exhibited a sensitivity of 92%, whereas the absence of skew deviation was identified with a sensitivity of 98%. Abnormal bedside HIT showed a sensitivity of 87%. The combined HINTS (HIT, nystagmus, and test of skew) had a sensitivity of 83%. The Romberg test and Fukuda test demonstrated sensitivities of 26% and 48%, respectively.

CONCLUSION

The sensitivity of bedside tests varied from 26% to 98%. This aligns with previous literature, highlighting the challenge of differentiating AUPVP from vestibular pseudoneuritis solely through bedside examination. Although the tests excel in excluding central causes, they are insufficient for diagnosing AUPVP with certainty. In addition, the bedside examination sensitivities vary widely, and early radiological imaging can be misleading. Therefore, this study underlines the necessity of prompt otoneurological testing for accurate exclusion of vestibular pseudoneuritis and thus improve patient outcomes.

A Deep Learning Model for Three-Dimensional Nystagmus Detection and Its Preliminary Application

Symptoms of vertigo are frequently reported and are usually accompanied by eye-movements called nystagmus. In this article, we designed a three-dimensional nystagmus recognition model and a benign paroxysmal positional vertigo automatic diagnosis system based on deep neural network architectures (Chinese Clinical Trials Registry ChiCTR-IOR-17010506). An object detection model was constructed to track the movement of the pupil centre. Convolutional neural network-based models were trained to detect nystagmus patterns in three dimensions. Our nystagmus detection models obtained high areas under the curve; 0.982 in horizontal tests, 0.893 in vertical tests, and 0.957 in torsional tests. Moreover, our automatic benign paroxysmal positional vertigo diagnosis system achieved a sensitivity of 0.8848, specificity of 0.8841, accuracy of 0.8845, and an F1 score of 0.8914. Compared with previous studies, our system provides a clinical reference, facilitates nystagmus detection and diagnosis, and it can be applied in real-world medical practices.

[Unclear chronic vertigo syndromes-experiences with an interdisciplinary inpatient diagnostic concept]

Schwindel ist ein häufiges Leitsymptom. Insbesondere Patienten mit chronischen Schwindelsyndromen erleben eine deutliche Beeinträchtigung der Lebensqualität und bei Berufstätigen eine Einschränkung der Arbeitsfähigkeit. Folgen sind finanzielle und kapazitive Belastungen des Gesundheitssystems aufgrund von häufigen Mehrfachuntersuchungen und Krankschreibungen bis hin zur Erwerbsunfähigkeit der Betroffenen. Bei 150 Patienten mit in der ambulanten Diagnostik unklaren chronischen Schwindelsyndromen wurde auf der Grundlage eines strukturierten interdisziplinären stationären Diagnostikkonzepts bei über 90 % der Fälle mindestens eine die Beschwerden begründende Diagnose erhoben. Chronische Schwindelsyndrome sind häufig multifaktoriell bedingt. Bei mehr als der Hälfte der Patienten fanden sich u. a. psychosomatische (Begleit‑)Diagnosen. Zielführende therapeutische Empfehlungen können nur diagnosespezifisch erfolgen, weshalb in dauerhaft unklaren Fällen auch die Abklärung im Rahmen eines interdisziplinären stationären Diagnostikkonzepts sinnvoll und gerechtfertigt sein kann.