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OBJECTIVE: To explore hidden Markov models (HMMs) as an approach for defining clinically meaningful headache-frequency-based groups in migraine. BACKGROUND: Monthly headache frequency in patients with migraine is known to vary over time. This variation has not been completely characterized and is not well accounted for in the classification of individuals as having chronic or episodic migraine, a diagnosis with potentially significant impacts on the individual. This study investigated variation in reported headache frequency in a migraine population and proposed a model for classifying individuals by frequency while accounting for natural variation. METHODS: The American Registry for Migraine Research (ARMR) was a longitudinal multisite study of United States adults with migraine. Study participants completed quarterly questionnaires and daily headache diaries. A series of HMMs were fit to monthly headache frequency data calculated from the diary data of ARMR. RESULTS: Changes in monthly headache frequency tended to be small, with 47% of transitions resulting in a change of 0 or 1 day. A substantial portion (24%) of months reflected daily headache with individuals ever reporting daily headache likely to consistently report daily headache. An HMM with four states with mean monthly headache frequency emissions of 3.52 (95% Prediction Interval [PI] 0-8), 10.10 (95% PI 4-17), 20.29 (95% PI 12-28), and constant 28 days/month had the best fit of the models tested. Of sequential month-to-month headache frequency transitions, 12% were across the 15-headache days chronic migraine cutoff. Under the HMM, 38.7% of those transitions involved a change in the HMM state, and the remaining 61.3% of the time, a change in chronic migraine classification was not accompanied by a change in the HMM state. CONCLUSION: A divide between the second and third states of this model aligns most strongly with the current episodic/chronic distinction, although there is a meaningful overlap between the states that supports the need for flexibility. An HMM has appealing properties for classifying individuals according to their headache frequency while accounting for natural variation in frequency. This empirically derived model may provide an informative classification approach that is more stable than the use of a single cutoff value.
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Objective: This study aimed to describe the migraine burden and healthcare utilization in the context of headache frequency using nationwide claims data linked to online survey data previously collected in Japan. Background: It has been shown that increase in headache frequency can impose greater impact on individuals' daily and social functioning, but migraine burden in those with low-frequency headaches remains largely unknown in Japan. Methods: This post-hoc, observational study reported on 674 respondents who were working individuals and their family members aged 19-74 years, responded to an online questionnaire (response rate: 14.1% [21,704 responded/153,545 kencomâ registrants]), and were previously classified as having migraine. Disease burden in terms of Migraine-Specific Quality of Life (MSQ) and Work Productivity and Activity Impairment (WPAI) was compared across 0-3, 4-7, 8-14, and ≥ 15 monthly headache days (MHD). Results: Among 674 respondents, 419 (62.2%), 148 (22.0%), 61 (9.1%), and 46 (6.8%) had 0-3, 4-7, 8-14, and ≥ 15 MHD, respectively. Of those, 55 (13.1%), 31 (20.9%), 19 (31.1%), and 20 (43.5%) respondents consulted physicians for headaches. Moderate-to-severe impairments in daily activities were reported by 298 (71.1%), 110 (74.3%), 46 (75.4%), and 38 (82.6%) respondents. The proportion of the respondents with WPAI >0% generally increased with increasing headache frequency (presenteeism: 41.7 and 67.5% in respondents with 0-3 and ≥ 15 MHD, respectively; overall work impairment: 44.8 and 72.5%, respectively; and activity impairment: 44.9 and 73.9%, respectively), except for absenteeism (12.4 and 22.5%, respectively). The mean MSQ score declined with increasing MHD (Role function-restrictive: 75.1 and 59.5 in those with 0-3 and ≥ 15 MHD, respectively; Role function-preventive: 85.8 and 75.0, respectively; and Emotional function: 81.9 and 63.6, respectively). Conclusion: Based on the Japanese nationwide claims data, quality of life and work productivity decreased with increasing numbers of headache days. Substantial disease burden paired with low levels of healthcare utilization highlights the need for medical or non-medical intervention.
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BACKGROUND: Real-world data on the effectiveness and safety of lasmiditan, a new medication for acute migraine attacks, is necessary. METHODS: We performed a prospective, observational, multi-center, real-world study. A total of 48 patients with migraine (44 females, 44.6 ± 12.9 years old) were included in this study. RESULTS: Twenty-three patients (47.9%) reported they were headache-free two hours after taking lasmiditan and were categorized into the responder group. In total, 44 patients (91.7%) experienced at least one side effect within two hours of taking the medication. Dizziness, somnolence, malaise, nausea, and palpitations were reported by 56.3% (n = 27), 45.8% (n = 22), 37.5% (n = 18), 20.8% (n = 10), and 14.6% (n = 7) of patients respectively. Of 48 patients, 20 (41.7%) indicated that they preferred lasmiditan to their previous acute treatment. There were no predictive factors for efficacy. CONCLUSION: This real-world study demonstrated the efficacy and safety of lasmiditan. More than 90% of patients experienced side effects from lasmiditan. Approximately 40% of patients preferred lasmiditan despite the occurrence of side effects.