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Association of a Cyclical Migraine Phenotype With Disease Progression: A 1-Year Time Series Analysis
Victor J Gallardo1, Alicia Alpuente1, Patricia Pozo-Rosich2
1From the Headache and Neurological Pain Research Group (V.J.G., A.A., P.P.-R.), Vall d'Hebron Research Institute, Departament de Medicina, Universitat Autònoma de Barcelona; and Headache Clinic (A.A., P.P.-R.), Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain.
Background And Objectives:
Longitudinal studies assessing cyclic fluctuations of migraine attacks using time series analysis are scarce. Here, we analyze headache frequency fluctuations over a year in a cohort of patients with migraine, and we then evaluate how this behavior has an effect on clinical evolution.
Methods:
Monthly headache frequency was prospectively collected using an electronic diary. Prognosis after 1 year was calculated as the headache frequency change rate after 12 months (HCR-M12) as a dependent variable. Monthly headache time series was decomposed into all the possible sum of sinusoids through a fast Fourier transform (FFT) algorithm, and the frequencies with the highest power were used to define the patient's cyclic phenotype during 1 year (patient's number of cycles per year, c/y). Patients with a cyclic phenotype were those with >2 c/y. Finally, we studied how this cyclic phenotype was associated with HCR-M12 using generalized linear models (GLMs).
Results:
A total of 142 patients were included (85.2% female; mean age 48.0 ± 9.7 years), 50.0% fulfilled the International Classification of Headache Disorders, third edition, criteria for chronic migraine (CM). After 1 year, a 50.7% (72/142) of patients changed their initial diagnosis, and progression (frequency worsening) was observed in 14.1% (10/71) of patients with episodic migraine (EM). After applying an FFT, 45.1% (64/142) of patients fitted into a cyclic phenotype. In GLM, statistically significant main effects associated with HCR-M12 were the use of preventive therapy (β [SE]: 74.1 [34.6]; p = 0.034) and cyclic phenotype (β [SE]: 158.33 [55.1]; p = 0.005). A post hoc analysis found that patients with EM with cyclic phenotype without adequate preventive therapy were statistically significantly associated with progression.
Discussion:
Monthly headache frequency data can be fitted by sinusoidal models. Having a cyclic phenotype has an effect on clinical evolution and has been statistically significantly associated with migraine progression after 1 year. Particularly, patients with EM with cyclic phenotype tend to increase their headache frequency over time. Preventive treatment seems to play a fundamental role in modulating this cyclic behavior, especially in patients with low-frequency EM.
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