Intrapatient variability of migraine attacks: stability analysis of the MIGSEV scale

Headache
Monique BahaAbdelkader El Hasnaoui

Abstract

Various tools now exist to define migraine and its impact on everyday life. Those are scales that help diagnosing the disease and managing treatment. However, there is no such emphasis on defining individual migraine attacks and their variability. Yet, as a chronic disease with variable frequency and intensity among individuals, there should be a way of developing the management of the disease based on knowledge of the attacks. To determine the variability of the severity of migraine attacks over time in individual patients using the MIGSEV scale. A set of migraineurs recruited in general practice filled a diary about their attacks during a 3-month period. The MIGSEV scale was used to determine the severity of their attacks, which could be mild, moderate, or severe. A Markov model was then adjusted with those 3 states and explanatory variables were considered as possible covariates. Probabilities were estimated that enabled to expect the severity of an attack to come, given the severity of the previous one. For instance, no matter the profile of the patient, the severity of an attack had more chances of being similar to the previous one: 74% of remaining mild, 60% of remaining moderate, and 55% of remaining severe. When it was ...Continue Reading

References

Nov 22, 2000·JAMA : the Journal of the American Medical Association·R B LiptonUNKNOWN Disability in Strategies of Care Study group
Jun 6, 2003·Headache·Abdelkader El HasnaouiUNKNOWN MIGSEV Group
Jun 6, 2003·Headache·Richard B Lipton
Mar 20, 2004·Cephalalgia : an International Journal of Headache·A El HasnaouiUNKNOWN HEMISHERE study group
Sep 29, 2004·PharmacoEconomics·André PradalierAnne-François Gaudin
Jan 22, 2005·Cephalalgia : an International Journal of Headache·F Nachit-OuinekhA El Hasnaoui

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Citations

May 7, 2019·European Journal of Neurology : the Official Journal of the European Federation of Neurological Societies·A H SnoerJ M Hansen

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