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Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls
OBJECTIVE: To investigate adherence, characteristics, and first clinical experiences of capturing ictal nystagmus at home, which can be performed to complement the diagnostic process in patients with episodic vestibular symptoms. METHODS: Patients were recruited at a tertiary referral center in case...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632223/ https://www.ncbi.nlm.nih.gov/pubmed/37653139 http://dx.doi.org/10.1007/s00415-023-11965-y |
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author | Melliti, Ali van de Berg, Maurice van de Berg, Raymond |
author_facet | Melliti, Ali van de Berg, Maurice van de Berg, Raymond |
author_sort | Melliti, Ali |
collection | PubMed |
description | OBJECTIVE: To investigate adherence, characteristics, and first clinical experiences of capturing ictal nystagmus at home, which can be performed to complement the diagnostic process in patients with episodic vestibular symptoms. METHODS: Patients were recruited at a tertiary referral center in case capturing ictal nystagmus could contribute to the diagnostic process (e.g., to detect or rule out BPPV). They were asked to capture ictal nystagmus with their own smartphone at home, using a smartphone-based adapter (Nystagmocatcher, Balansdiagnos, Stockholm, Sweden). All recordings were analyzed by the last author (RvdB), and the adherence, characteristics, and first clinical experiences were evaluated. RESULTS: Seventy patients with vestibular symptoms were asked to participate in this study. Sixty-two (89%) agreed to participate. The median period of participation was 86 days. Fifty-one patients experienced attacks during the study period. Eventually, 51% of them provided eye movement recordings sufficient for analysis. Different types of nystagmus were observed: positional nystagmus related to BPPV, positional nystagmus not related to BPPV, functional eye movements, and the absence of nystagmus or functional eye movements. Capturing ictal nystagmus could contribute to the diagnostic process in several ways, including to detect or rule out BPPV, to detect or rule out vestibular origin of symptoms, to determine the affected side, telemedicine, to monitor attack frequency, and to detect malingering. Furthermore, strict guidance of patients was necessary, which could be time-consuming. CONCLUSION: Capturing ictal nystagmus can contribute to the diagnostic process in several ways, which motivates to rethink current clinical workflow in vestibular medicine. However, strict guidance is necessary and not all patients provide ictal recordings. In an outpatient setting, it would be advised to use ictal nystagmus recordings on indication, to complement the diagnostic process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-023-11965-y. |
format | Online Article Text |
id | pubmed-10632223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106322232023-11-14 Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls Melliti, Ali van de Berg, Maurice van de Berg, Raymond J Neurol Original Communication OBJECTIVE: To investigate adherence, characteristics, and first clinical experiences of capturing ictal nystagmus at home, which can be performed to complement the diagnostic process in patients with episodic vestibular symptoms. METHODS: Patients were recruited at a tertiary referral center in case capturing ictal nystagmus could contribute to the diagnostic process (e.g., to detect or rule out BPPV). They were asked to capture ictal nystagmus with their own smartphone at home, using a smartphone-based adapter (Nystagmocatcher, Balansdiagnos, Stockholm, Sweden). All recordings were analyzed by the last author (RvdB), and the adherence, characteristics, and first clinical experiences were evaluated. RESULTS: Seventy patients with vestibular symptoms were asked to participate in this study. Sixty-two (89%) agreed to participate. The median period of participation was 86 days. Fifty-one patients experienced attacks during the study period. Eventually, 51% of them provided eye movement recordings sufficient for analysis. Different types of nystagmus were observed: positional nystagmus related to BPPV, positional nystagmus not related to BPPV, functional eye movements, and the absence of nystagmus or functional eye movements. Capturing ictal nystagmus could contribute to the diagnostic process in several ways, including to detect or rule out BPPV, to detect or rule out vestibular origin of symptoms, to determine the affected side, telemedicine, to monitor attack frequency, and to detect malingering. Furthermore, strict guidance of patients was necessary, which could be time-consuming. CONCLUSION: Capturing ictal nystagmus can contribute to the diagnostic process in several ways, which motivates to rethink current clinical workflow in vestibular medicine. However, strict guidance is necessary and not all patients provide ictal recordings. In an outpatient setting, it would be advised to use ictal nystagmus recordings on indication, to complement the diagnostic process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-023-11965-y. Springer Berlin Heidelberg 2023-08-31 2023 /pmc/articles/PMC10632223/ /pubmed/37653139 http://dx.doi.org/10.1007/s00415-023-11965-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Communication Melliti, Ali van de Berg, Maurice van de Berg, Raymond Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title | Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title_full | Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title_fullStr | Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title_full_unstemmed | Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title_short | Capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
title_sort | capturing nystagmus during vertigo attacks using a smartphone: adherence, characteristics, pearls and pitfalls |
topic | Original Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632223/ https://www.ncbi.nlm.nih.gov/pubmed/37653139 http://dx.doi.org/10.1007/s00415-023-11965-y |
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