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Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China

BACKGROUND: Medication overuse headache (MOH) is the third most prevalent headache type after migraine and tension-type headache. A large number of studies on the long-term prognosis have shown that MOH has a high relapse rate after treatment. Although MOH relapse-related risk factors have been repo...

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Autores principales: Yan, Zhihui, Chen, Yuan, Chen, Chunfu, Li, Congcong, Diao, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574711/
https://www.ncbi.nlm.nih.gov/pubmed/26382591
http://dx.doi.org/10.1186/s12883-015-0422-1
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author Yan, Zhihui
Chen, Yuan
Chen, Chunfu
Li, Congcong
Diao, Xiaojun
author_facet Yan, Zhihui
Chen, Yuan
Chen, Chunfu
Li, Congcong
Diao, Xiaojun
author_sort Yan, Zhihui
collection PubMed
description BACKGROUND: Medication overuse headache (MOH) is the third most prevalent headache type after migraine and tension-type headache. A large number of studies on the long-term prognosis have shown that MOH has a high relapse rate after treatment. Although MOH relapse-related risk factors have been reported, no related research has been performed in China. Therefore, the purpose of this study was to analyze and evaluate the risk factors for MOH relapse in China. METHODS: Eighty-six out-patients of Shandong Provincial Hospital who were initially diagnosed with MOH, and who had successful withdrawal treatment within 2 months, were chosen from March 2012 to July 2013. All subjects were followed up by the investigators of this study. Of the 86 subjects, 27 who had relapsed were compared with 59 who had not relapsed (i.e. the controls). Based on a standardized questionnaire, a database was created (with Microsoft Excel 2010). The data, which included 38 indexes, were analyzed by univariate analysis with chi-square test, Fisher’s exact test, t-test, or paired rank test. The statistically correlated (P < 0.05) variables were chosen as the independent variables, thereby enabling the calculation of the non-conditional multivariate stepwise logistic regression. RESULTS: The independent risk factors for medication-overuse headache relapse were determined as headache frequency before drug withdrawal, duration of primary headache, and headache frequency after drug withdrawal. CONCLUSION: Headache frequency before drug withdrawal, duration of primary headache, and headache frequency after drug withdrawal may be the independent risk factors for MOH relapse in China.
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spelling pubmed-45747112015-09-19 Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China Yan, Zhihui Chen, Yuan Chen, Chunfu Li, Congcong Diao, Xiaojun BMC Neurol Research Article BACKGROUND: Medication overuse headache (MOH) is the third most prevalent headache type after migraine and tension-type headache. A large number of studies on the long-term prognosis have shown that MOH has a high relapse rate after treatment. Although MOH relapse-related risk factors have been reported, no related research has been performed in China. Therefore, the purpose of this study was to analyze and evaluate the risk factors for MOH relapse in China. METHODS: Eighty-six out-patients of Shandong Provincial Hospital who were initially diagnosed with MOH, and who had successful withdrawal treatment within 2 months, were chosen from March 2012 to July 2013. All subjects were followed up by the investigators of this study. Of the 86 subjects, 27 who had relapsed were compared with 59 who had not relapsed (i.e. the controls). Based on a standardized questionnaire, a database was created (with Microsoft Excel 2010). The data, which included 38 indexes, were analyzed by univariate analysis with chi-square test, Fisher’s exact test, t-test, or paired rank test. The statistically correlated (P < 0.05) variables were chosen as the independent variables, thereby enabling the calculation of the non-conditional multivariate stepwise logistic regression. RESULTS: The independent risk factors for medication-overuse headache relapse were determined as headache frequency before drug withdrawal, duration of primary headache, and headache frequency after drug withdrawal. CONCLUSION: Headache frequency before drug withdrawal, duration of primary headache, and headache frequency after drug withdrawal may be the independent risk factors for MOH relapse in China. BioMed Central 2015-09-17 /pmc/articles/PMC4574711/ /pubmed/26382591 http://dx.doi.org/10.1186/s12883-015-0422-1 Text en © Yan et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yan, Zhihui
Chen, Yuan
Chen, Chunfu
Li, Congcong
Diao, Xiaojun
Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title_full Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title_fullStr Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title_full_unstemmed Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title_short Analysis of risk factors for medication-overuse headache relapse: a clinic-based study in China
title_sort analysis of risk factors for medication-overuse headache relapse: a clinic-based study in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574711/
https://www.ncbi.nlm.nih.gov/pubmed/26382591
http://dx.doi.org/10.1186/s12883-015-0422-1
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