Factors associated with incidental neuroimaging abnormalities in new primary headache patients

  • Byung Su Kim
  • , Soo Kyoung Kim
  • , Jae Moon Kim
  • , Heui Soo Moon
  • , Kwang Yeol Park
  • , Jeong Wook Park
  • , Jong Hee Sohn
  • , Tae Jin Song
  • , Min Kyung Chu
  • , Myoung Jin Cha
  • , Byung Kun Kim
  • , Soo Jin Cho

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)222-229
Number of pages8
JournalJournal of Clinical Neurology (Korea)
Volume16
Issue number2
DOIs
StatePublished - Apr 2020

Bibliographical note

Publisher Copyright:
© 2020 Korean Neurological Association.

Keywords

  • Headache
  • Logistic models
  • Magnetic resonance imaging
  • Neuroimaging
  • Primary headache disorders

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