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Factors Associated with Incidental Neuroimaging Abnormalities in New Primary Headache PatientsFactors Associated with Incidental Neuroimaging Abnormalities in New Primary Headache Patients

Authors
김병수김수경김재문문희수박광열박정욱손종희송태진주민경차명진김병건조수진
Issue Date
Apr-2020
Publisher
대한신경과학회
Keywords
primary headache disorders; headache; neuroimaging; magnetic resonance imaging; logistic models.
Citation
Journal of Clinical Neurology, v.16, no.2, pp 222 - 229
Pages
8
Journal Title
Journal of Clinical Neurology
Volume
16
Number
2
Start Page
222
End Page
229
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/42257
DOI
10.3988/jcn.2020.16.2.222
ISSN
1738-6586
2005-5013
Abstract
Background 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-3β). 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=2.07–6.83], 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.
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