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Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics
Objectives: X-linked dystonia parkinsonism (XDP) is a neurodegenerative movement disorder endemic to the island of Panay in the Philippines. We undertook a population-based prevalence study to enumerate all cases of XDP in Panay. We first developed a 4-item questionnaire to distinguish XDP suspects...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196251/ https://www.ncbi.nlm.nih.gov/pubmed/30374324 http://dx.doi.org/10.3389/fneur.2018.00830 |
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author | Diestro, Jose Danilo B. Ang, Mark Angelo C. Mondia, Mark Willy L. Pasco, Paul Matthew D. |
author_facet | Diestro, Jose Danilo B. Ang, Mark Angelo C. Mondia, Mark Willy L. Pasco, Paul Matthew D. |
author_sort | Diestro, Jose Danilo B. |
collection | PubMed |
description | Objectives: X-linked dystonia parkinsonism (XDP) is a neurodegenerative movement disorder endemic to the island of Panay in the Philippines. We undertook a population-based prevalence study to enumerate all cases of XDP in Panay. We first developed a 4-item questionnaire to distinguish XDP suspects from the general population. In the present study we aimed to revalidate this questionnaire to distinguish XDP from similar conditions so as to give it greater utility in the clinical setting. Patients and Methods: A total of 306 subjects (114 cases and 192 controls) were screened in from the 16 towns and 1 city of Capiz province. Their responses to the previously developed 4-item questionnaire were collected and multivariable logistic regression was performed to develop a predictive model. The accuracy of the model was determined by using it on a subset of patients; then, a scoring system based on the model coefficients was established. Results: With a cut-off score of 6, the questionnaire had an accuracy of 70.7% (95% CI 0.57-0.82), a sensitivity of 84.6 % (95% CI 0.65-0.96) and a specificity of 59.4 % (95% CI 0.41-0.76). The item on “shuffling of feet” was the strongest predictor in distinguishing XDP from its common mimics. Conclusion: We were able to revalidate a simple, four-item questionnaire that could distinguish XDP from its common mimics with fair accuracy. The questionnaire along with other clinical features can be used to determine which patients need specialty evaluation and genetic testing to verify a diagnosis of XDP. |
format | Online Article Text |
id | pubmed-6196251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61962512018-10-29 Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics Diestro, Jose Danilo B. Ang, Mark Angelo C. Mondia, Mark Willy L. Pasco, Paul Matthew D. Front Neurol Neurology Objectives: X-linked dystonia parkinsonism (XDP) is a neurodegenerative movement disorder endemic to the island of Panay in the Philippines. We undertook a population-based prevalence study to enumerate all cases of XDP in Panay. We first developed a 4-item questionnaire to distinguish XDP suspects from the general population. In the present study we aimed to revalidate this questionnaire to distinguish XDP from similar conditions so as to give it greater utility in the clinical setting. Patients and Methods: A total of 306 subjects (114 cases and 192 controls) were screened in from the 16 towns and 1 city of Capiz province. Their responses to the previously developed 4-item questionnaire were collected and multivariable logistic regression was performed to develop a predictive model. The accuracy of the model was determined by using it on a subset of patients; then, a scoring system based on the model coefficients was established. Results: With a cut-off score of 6, the questionnaire had an accuracy of 70.7% (95% CI 0.57-0.82), a sensitivity of 84.6 % (95% CI 0.65-0.96) and a specificity of 59.4 % (95% CI 0.41-0.76). The item on “shuffling of feet” was the strongest predictor in distinguishing XDP from its common mimics. Conclusion: We were able to revalidate a simple, four-item questionnaire that could distinguish XDP from its common mimics with fair accuracy. The questionnaire along with other clinical features can be used to determine which patients need specialty evaluation and genetic testing to verify a diagnosis of XDP. Frontiers Media S.A. 2018-10-15 /pmc/articles/PMC6196251/ /pubmed/30374324 http://dx.doi.org/10.3389/fneur.2018.00830 Text en Copyright © 2018 Diestro, Ang, Mondia and Pasco. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Diestro, Jose Danilo B. Ang, Mark Angelo C. Mondia, Mark Willy L. Pasco, Paul Matthew D. Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title | Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title_full | Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title_fullStr | Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title_full_unstemmed | Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title_short | Validation of a Questionnaire for Distinguishing X-Linked Dystonia Parkinsonism From Its Mimics |
title_sort | validation of a questionnaire for distinguishing x-linked dystonia parkinsonism from its mimics |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196251/ https://www.ncbi.nlm.nih.gov/pubmed/30374324 http://dx.doi.org/10.3389/fneur.2018.00830 |
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