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Factors Associated with Incidental Neuroimaging Abnormalities in New Primary Headache Patients

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dc.contributor.authorKim, Byung-Su-
dc.contributor.authorKim, Soo-Kyoung-
dc.contributor.authorKim, Jae-Moon-
dc.contributor.authorMoon, Heui-Soo-
dc.contributor.authorPark, Kwang-Yeol-
dc.contributor.authorPark, Jeong Wook-
dc.contributor.authorSohn, Jong-Hee-
dc.contributor.authorSong, Tae-Jin-
dc.contributor.authorChu, Min Kyung-
dc.contributor.authorCha, Myoung-Jin-
dc.contributor.authorKim, Byung-Kun-
dc.contributor.authorCho, Soo-Jin-
dc.date.accessioned2022-12-26T13:00:59Z-
dc.date.available2022-12-26T13:00:59Z-
dc.date.issued2020-04-
dc.identifier.issn1738-6586-
dc.identifier.issn2005-5013-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/6791-
dc.description.abstractBackground and Purpose Deciding whether or not to perform neuroimaging in primary headache is a dilemma for headache physicians. The aim of this study was to identify clinical predictors of incidental neuroimaging abnormalities in new patients with primary headache disorders. Methods This cross-sectional study was based on a prospective multicenter headache registry, and it classified 1,627 consecutive first-visit headache patients according to the third edition (beta version) of the International Classification of Headache Disorders (ICHD-3 beta). Primary headache patients who underwent neuroimaging were finally enrolled in the analysis. Serious intracranial pathology was defined as serious neuroimaging abnormalities with a high degree of medical urgency. Univariable and multivariable logistic regression analyses were conducted to identify factors associated with incidental neuroimaging abnormalities. Results Neuroimaging abnormalities were present in 170 (18.3%) of 927 eligible patients. In multivariable analysis, age >= 40 years [multivariable-adjusted odds ratio (aOR)=3.37, 95% CI=2.07-6.831, male sex (aOR=1.61, 95% CI=1.12-2.32), and age >= 50 years at headache onset (aOR=1.86, 95% CI=1.24-2.78) were associated with neuroimaging abnormalities. In univariable analyses, age >= 40 years was the only independent variable associated with serious neuroimaging abnormalities (OR=3.37, 95% CI=1.17-9.66), which were found in 34 patients (3.6%). These associations did not change after further adjustment for neuroimaging modality. Conclusions Incidental neuroimaging abnormalities were common and varied in a primary headache diagnosis. A small proportion of the patients incidentally had serious neuroimaging abnormalities, and they were predicted by age >= 40 years. These findings can be used to guide the performing of neuroimaging in primary headache disorders.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherKOREAN NEUROLOGICAL ASSOC-
dc.titleFactors Associated with Incidental Neuroimaging Abnormalities in New Primary Headache Patients-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3988/jcn.2020.16.2.222-
dc.identifier.scopusid2-s2.0-85083648455-
dc.identifier.wosid000527858700005-
dc.identifier.bibliographicCitationJOURNAL OF CLINICAL NEUROLOGY, v.16, no.2, pp 222 - 229-
dc.citation.titleJOURNAL OF CLINICAL NEUROLOGY-
dc.citation.volume16-
dc.citation.number2-
dc.citation.startPage222-
dc.citation.endPage229-
dc.type.docTypeArticle-
dc.identifier.kciidART002575353-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.subject.keywordPlusINTERNATIONAL CLASSIFICATION-
dc.subject.keywordPlusNEUROPHYSIOLOGICAL TESTS-
dc.subject.keywordPlusNONACUTE HEADACHE-
dc.subject.keywordPlusHEALTH-CARE-
dc.subject.keywordPlusBRAIN-
dc.subject.keywordPlusMIGRAINE-
dc.subject.keywordPlusDISORDERS-
dc.subject.keywordPlusBURDEN-
dc.subject.keywordPlusCOST-
dc.subject.keywordPlusPOPULATION-
dc.subject.keywordAuthorprimary headache disorders-
dc.subject.keywordAuthorheadache-
dc.subject.keywordAuthorneuroimaging-
dc.subject.keywordAuthormagnetic resonance imaging-
dc.subject.keywordAuthorlogistic models-
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