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Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis
The videonystagmography oculomotor test battery is considered useful method for diagnosing vertigo. However, its role in diagnosing central vestibular disorder has not been clarified due to variations in interpretation. Patients (n = 103) with vertigo or dizziness symptoms undergoing the oculomotor...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880333/ https://www.ncbi.nlm.nih.gov/pubmed/35207691 http://dx.doi.org/10.3390/jpm12020203 |
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author | Wu, Ching-Nung Luo, Sheng-Dean Chen, Shu-Fang Huang, Chi-Wei Chiang, Pi-Ling Hwang, Chung-Feng Yang, Chao-Hui Ho, Chun-Hsien Cheng, Wei-De Lin, Chung-Ying Li, Yi-Lu |
author_facet | Wu, Ching-Nung Luo, Sheng-Dean Chen, Shu-Fang Huang, Chi-Wei Chiang, Pi-Ling Hwang, Chung-Feng Yang, Chao-Hui Ho, Chun-Hsien Cheng, Wei-De Lin, Chung-Ying Li, Yi-Lu |
author_sort | Wu, Ching-Nung |
collection | PubMed |
description | The videonystagmography oculomotor test battery is considered useful method for diagnosing vertigo. However, its role in diagnosing central vestibular disorder has not been clarified due to variations in interpretation. Patients (n = 103) with vertigo or dizziness symptoms undergoing the oculomotor tests and brain MRI within 1 month were analyzed. Two otology specialists retrospectively interpreted the oculomotor tests, and three neurology and neuroradiology specialists determined whether central lesions were present on brain MRI. Multivariable logistic regression analysis was performed to determine the factors contributing to discordant interpretation between oculomotor tests and brain MRI. Oculomotor tests predicting central lesions were assessed using principal component analysis. The intra- and inter-rater reliability in oculomotor test interpretation was moderate to good. Age > 60 years and multiple comorbidities were significant predictors of a discordant interpretation between MRI and oculomotor tests. Positive neurological symptoms and a higher oculomotor index (according to saccade (vertical axis), smooth pursuit (horizontal axis), and gaze-evoked nystagmus (horizontal/vertical axes) tests) significantly predicted central vestibular disorder in vertigo patients. Caution is required when interpreting the results of the oculomotor test battery for diagnosis of central lesions in older patients, as well as in those with multiple comorbidities. |
format | Online Article Text |
id | pubmed-8880333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88803332022-02-26 Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis Wu, Ching-Nung Luo, Sheng-Dean Chen, Shu-Fang Huang, Chi-Wei Chiang, Pi-Ling Hwang, Chung-Feng Yang, Chao-Hui Ho, Chun-Hsien Cheng, Wei-De Lin, Chung-Ying Li, Yi-Lu J Pers Med Article The videonystagmography oculomotor test battery is considered useful method for diagnosing vertigo. However, its role in diagnosing central vestibular disorder has not been clarified due to variations in interpretation. Patients (n = 103) with vertigo or dizziness symptoms undergoing the oculomotor tests and brain MRI within 1 month were analyzed. Two otology specialists retrospectively interpreted the oculomotor tests, and three neurology and neuroradiology specialists determined whether central lesions were present on brain MRI. Multivariable logistic regression analysis was performed to determine the factors contributing to discordant interpretation between oculomotor tests and brain MRI. Oculomotor tests predicting central lesions were assessed using principal component analysis. The intra- and inter-rater reliability in oculomotor test interpretation was moderate to good. Age > 60 years and multiple comorbidities were significant predictors of a discordant interpretation between MRI and oculomotor tests. Positive neurological symptoms and a higher oculomotor index (according to saccade (vertical axis), smooth pursuit (horizontal axis), and gaze-evoked nystagmus (horizontal/vertical axes) tests) significantly predicted central vestibular disorder in vertigo patients. Caution is required when interpreting the results of the oculomotor test battery for diagnosis of central lesions in older patients, as well as in those with multiple comorbidities. MDPI 2022-02-02 /pmc/articles/PMC8880333/ /pubmed/35207691 http://dx.doi.org/10.3390/jpm12020203 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Ching-Nung Luo, Sheng-Dean Chen, Shu-Fang Huang, Chi-Wei Chiang, Pi-Ling Hwang, Chung-Feng Yang, Chao-Hui Ho, Chun-Hsien Cheng, Wei-De Lin, Chung-Ying Li, Yi-Lu Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title | Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title_full | Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title_fullStr | Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title_full_unstemmed | Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title_short | Applicability of Oculomotor Tests for Predicting Central Vestibular Disorder Using Principal Component Analysis |
title_sort | applicability of oculomotor tests for predicting central vestibular disorder using principal component analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880333/ https://www.ncbi.nlm.nih.gov/pubmed/35207691 http://dx.doi.org/10.3390/jpm12020203 |
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