The predictive model may help forecast migraine attacks

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The predictive model may help forecast migraine attacks

A migraine is a debilitating condition which often starts at puberty and mostly affects individuals between 35 and 45 years. It is the third most common disease in the world (after dental caries and tension-type headache) with an approximated global prevalence of 14.7% (around 1 in 7 people).

In a study conducted by Dr Houle and colleagues, a prediction model was inspected whether it could forecast the future migraine attacks for an individual headache sufferer. A total of 100 participants with an episodic migraine with or without aura, and N = 95 contributed 4626 days of electronic diary data and were inculcated in this analysis. A headache was experienced by the participants on 1613 (38.5%) days. The stress was magnified on days preceding a headache, but overall the participants reported low to moderate levels of stress.

With further clarification, this model can serve as the basis for preemptive treatment of migraine attacks in people with the higher risk, thus circumventing from pain and disability.

As per Dr. Houle, this model can be a perfect start to help people forecast the chances they will experience a headache attack, but much work is required to make the prediction models more accurate before they are of widespread clinical use. In future, the full potential of preventive strategies can be deduced if the art of headache forecasting is refined and further implementing the targeted interventions in carefully selected patients.



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Original title of article:

Predictive model may help forecast migraine attacks


Houle TT et al.

Diagnostic, Migraine, Headache, Brain, Review
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