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Predictors of chronic migraine remission.
- Source :
-
Egyptian Journal of Neurology, Psychiatry & Neurosurgery . 9/9/2024, Vol. 60 Issue 1, p1-9. 9p. - Publication Year :
- 2024
-
Abstract
- Background: Chronic migraine is a debilitating neurological condition that significantly impairs both individual and socioeconomic outcomes. The aim of the present study was to estimate the remission rates of chronic migraine to episodic migraine, and to identify potential predictors of chronic migraine remission. In addition, to assess impact of chronic migraine remission on headache related disability. Results: Out of 300 individuals with chronic migraine (CM) who attended to our institution and continued for follow up in the period from the 1st of January 2021 up to the end of December 2022, approximately 82 cases (27.3%) had remitting CM, while 117 cases (39.0%) had persistent CM, and 101 cases (33.7%) had transitional CM. On multivariate model for detection of potential predictors of CM remission revealed that patients with lowest headache frequency (15–19 frequency/month) were much more likely to remit (OR = 577.826, 95% CI: 15.259 to 21,881.228, P = 0.001) than those with high-frequency CM (25–30 frequency/month), patients with non CM with allodynia (0–2) were more likely to remit (OR = 139.374, 95% CI: 4.634 to 419.879, P = 0.004) compared to those with moderate to severe CM with allodynia (≥ 6). Additionally, those using Topiramate or beta-blockers were more likely to achieve remission (OR = 23.325, 95% CI: 3.289 to 165.400, P = 0.002, and OR = 34.205, 95%CI: 3.591 to 325.842, P = 0.002, respectively), and also non-smokers were 11 times more likely to achieve remission compared to smokers (OR = 11.370, 95% CI: 1.702 to 75.934, P = 0.012). Conclusion: These findings identified several potential predictors of remission among patients with chronic headache. However, the majority of these prognostic factors are modifiable. [ABSTRACT FROM AUTHOR]
- Subjects :
- *NEUROLOGICAL disorders
*MIGRAINE
*PROGNOSIS
*HEADACHE
*ALLODYNIA
Subjects
Details
- Language :
- English
- ISSN :
- 11101083
- Volume :
- 60
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Egyptian Journal of Neurology, Psychiatry & Neurosurgery
- Publication Type :
- Academic Journal
- Accession number :
- 179535073
- Full Text :
- https://doi.org/10.1186/s41983-024-00879-9