Fluctuations in episodic and chronic migraine status over the course of 1 year: implications for diagnosis, treatment and clinical trial design

Изменения статуса эпизодической и хронической мигрени в течение 1 года: значение для диагностики, лечения и планирования клинических исследований
Richard B. Lipton, Dawn C. Buse, Daniel Serrano, Michael L. Reed, I Scher, Walter F. Stewart, Aubrey Manack Adams
2017-10-04

chronic migraineepisodic migraineheadache-day frequencylongitudinal surveynegative binomial regression
BACKGROUND: Relatively little is known about the stability of a diagnosis of episodic migraine (EM) or chronic migraine (CM) over time. This study examines natural fluctuations in self-reported headache frequency as well as the stability and variation in migraine type among individuals meeting criteria for EM and CM at baseline. METHODS: The Chronic Migraine Epidemiology and Outcomes (CaMEO) Study was a longitudinal survey of US adults with EM and CM identified by a web-questionnaire. A validated questionnaire was used to classify respondents with EM (<15 headache days/month) or CM (≥15 headache days/month) every three months for a total of five assessments. We described longitudinal persistence of baseline EM and CM classifications. In addition, we modelled longitudinal variation in headache day frequency per month using negative binomial repeated measures regression models (NBRMR). RESULTS: Among the 5464 respondents with EM at baseline providing four or five waves of data, 5048 (92.4%) had EM in all waves and 416 (7.6%) had CM in at least one wave. Among 526 respondents with CM at baseline providing four or five waves of data, 140 (26.6%) had CM in every wave and 386 (73.4%) had EM for at least one wave. Individual plots revealed striking within-person variations in headache days per month. The NBRMR model revealed that the rate of headache days increased across waves of observation 19% more per wave for CM compared to EM (rate ratio [RR], 1.19; 95% CI, 1.13-1.26). After adjustment for covariates, the relative difference changed to a 26% increase per wave (RR, 1.26; 95% CI, 1.2-1.33). CONCLUSIONS: Follow-up at three-month intervals reveals a high level of short-term variability in headache days per month. As a consequence, many individuals cross the CM diagnostic boundary of ≥15 headache days per month.Nearly three quarters of persons with CM at baseline drop below this diagnostic boundary at least once over the course of a year. These findings are of interest in the consideration of headache classification and diagnosis, the design and interpretation of epidemiologic and clinical studies, and clinical management.
1
Among participants with chronic migraine at baseline, only 26.6% remained chronic across all waves, whereas 73.4% met episodic migraine criteria at least once.
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Among participants with episodic migraine at baseline, 92.4% remained episodic across all observed waves, while 7.6% met chronic migraine criteria at least once.
3
Frequent crossing of the ≥15-headache-days-per-month boundary indicates that migraine diagnoses can fluctuate substantially, with implications for treatment decisions and clinical trial design.
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Headache frequency showed substantial short-term within-person variability when assessed every three months over one year.
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The modeled headache-day rate increased 19% more per observation wave for chronic versus episodic migraine at baseline (RR 1.19; 95% CI, 1.13–1.26), rising to 26% after covariate adjustment (RR 1.26; 95% CI, 1.20–1.33).

Adults with episodic or chronic migraine identified in the longitudinal CaMEO Study

One-year longitudinal fluctuations in monthly headache frequency and the stability and transitions of episodic versus chronic migraine classification

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2017-10-04
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Richard B. Lipton
Dawn C. Buse
Daniel Serrano
Michael L. Reed
I Scher
Walter F. Stewart
Aubrey Manack Adams
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