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Related Experiment Video

Updated: Jan 20, 2026

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Identifying menstrual migraine- improving the diagnostic criteria using a statistical method.

Mathias Barra1,2, Fredrik A Dahl3,4,5, E Anne MacGregor6,7

  • 1The Health Services Research Unit - HØKH, Akershus University Hospital, Lørenskog, Norway. mathias.barra@ahus.no.

The Journal of Headache and Pain
|September 8, 2019
PubMed
Summary

A new statistical criterion for menstrual migraine (sMM) offers a more specific diagnosis than the current ICHD criteria. This tool enhances the accuracy of identifying menstrual migraine, especially for clinical trials.

Keywords:
Diagnostic criteriaMarkov chain modelMenstrually related migraineOperations researchStatistical criteria

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Area of Science:

  • Neurology
  • Data Science
  • Medical Diagnostics

Background:

  • Current diagnostic criteria for menstrual migraine, based on the International Classification of Headache Disorders (ICHD), have limitations in specificity.
  • The existing [Formula: see text]-criterion, while sensitive, may include chance associations between migraine and menstruation.
  • Accurate diagnosis is crucial for understanding the pathophysiology and for participant selection in clinical trials.

Purpose of the Study:

  • To develop and validate a robust statistical tool for the diagnosis of menstrually related migraine.
  • To improve the specificity of menstrual migraine diagnosis beyond the existing [Formula: see text]-criterion.
  • To create a diagnostic method applicable across varying numbers of recorded menstrual cycles.

Main Methods:

  • Development of a statistical criterion for menstrual migraine (sMM) using a Markov chain mathematical model.
  • Analysis of migraine diary data comparing the performance of the sMM against the ICHD [Formula: see text]-criterion.
  • Evaluation of diagnostic accuracy, sensitivity, and specificity across different numbers of menstrual cycles.

Main Results:

  • The sMM demonstrated superior diagnostic performance compared to the [Formula: see text]-criterion across various cycle counts.
  • The accuracy of the sMM improved with the inclusion of more menstrual cycle data.
  • While the [Formula: see text]-criterion's sensitivity peaked at three cycles, its specificity increased with more data, unlike the sMM.

Conclusions:

  • The sMM provides a more specific diagnostic tool for menstrual migraine than the ICHD [Formula: see text]-criterion.
  • The sMM is applicable regardless of the number of menstrual cycles recorded, offering greater flexibility.
  • This enhanced diagnostic tool is particularly valuable for clinical trials requiring the exclusion of chance associations between migraine and menstruation.