In countries where headache services exist at all, their focus is usually on specialist (tertiary) care. This is clinically and economically inappropriate: most headache disorders can effectively and more efficiently (and at lower cost) be treated in educationally supported primary care. At the same time, compartmentalizing divisions between primary, secondary and tertiary care in many health-care systems create multiple inefficiencies, confronting patients attempting to navigate these levels (the “patient journey”) with perplexing obstacles.High demand for headache care, estimated here in a needs-assessment exercise, is the biggest of the challenges to reform. It is also the principal reason why reform is necessary.The structured headache services model presented here by experts from all world regions on behalf of the Global Campaign against Headache is the suggested health-care solution to headache. It develops and refines previous proposals, responding to the challenge of high demand by basing headache services in primary care, with two supporting arguments. First, only primary care can deliver headache services equitably to the large numbers of people needing it. Second, with educational supports, they can do so effectively to most of these people. The model calls for vertical integration between care levels (primary, secondary and tertiary), and protection of the more advanced levels for the minority of patients who need them. At the same time, it is amenable to horizontal integration with other care services. It is adaptable according to the broader national or regional health services in which headache services should be embedded.It is, according to evidence and argument presented, an efficient and cost-effective model, but these are claims to be tested in formal economic analyses.

Background Several studies have described potential microRNA (miRNA) biomarkers associated with migraine, but studies are scarcely reproducible primarily due to the heterogeneous variability of participants. Increasing evidence shows that disease-related intrinsic factors together with lifestyle (environmental factors), influence epigenetic mechanisms and in turn, diseases. Hence, the main objective of this exploratory study was to find differentially expressed miRNAs (DE miRNA) in peripheral blood mononuclear cells (PBMC) of patients with migraine compared to healthy controls in a well-controlled homogeneous cohort of non-menopausal women. Methods Patients diagnosed with migraine according to the International Classification of Headache Disorders (ICHD-3) and healthy controls without familial history of headache disorders were recruited. All participants completed a very thorough questionnaire and structured-interview in order to control for environmental factors. RNA was extracted from PBMC and a microarray system (GeneChip miRNA 4.1 Array chip, Affymetrix) was used to determine the miRNA profiles between study groups. Principal components analysis and hierarchical clustering analysis were performed to study samples distribution and random forest (RF) algorithms were computed for the classification task. To evaluate the stability of the results and the prediction error rate, a bootstrap (.632 + rule) was run through all the procedure. Finally, a functional enrichment analysis of selected targets was computed through protein–protein interaction networks. Results After RF classification, three DE miRNA distinguished study groups in a very homogeneous female cohort, controlled by factors such as demographics (age and BMI), life-habits (physical activity, caffeine and alcohol consumptions), comorbidities and clinical features associated to the disease: miR-342-3p, miR-532-3p and miR-758-5p. Sixty-eight target genes were predicted which were linked mainly to enriched ion channels and signaling pathways, neurotransmitter and hormone homeostasis, infectious diseases and circadian entrainment. Conclusions A 3-miRNA (miR-342-3p, miR-532-3p and miR-758-5p) novel signature has been found differentially expressed between controls and patients with migraine. Enrichment analysis showed that these pathways are closely associated with known migraine pathophysiology, which could lead to the first reliable epigenetic biomarker set. Further studies should be performed to validate these findings in a larger and more heterogeneous sample.

Objective.-To describe the 10-year evolution of a cohort of migraine patients, focusing on prognostic factors of improvement.Background.-Migraine is one of the most prevalent and disabling diseases and migraineurs often want to know about the evolutionary timeline of their condition. Yet, data from longitudinal studies with a long-term follow-up is scarce.Methods.-This is a 10-year longitudinal study. In 2008, we recruited 1109 consecutive migraine patients who answered an initial survey. In 2018, we did a follow-up. We compared initial and final (after 10 years) data. A reduction ≥50% in Headache days/month was considered as improvement. A comparative study was carried out to identify predictors of improvement or no improvement.Results.-After 10 years, 380 patients completed the survey (34.3% of the initial cohort), 77.1% (293/380) were women; mean age 41.0 ± 10.6 years and 73.7% (280/380) had an initial diagnosis of episodic migraine (EM). After 10 years, 48.2% (183/380) of patients did not have a medical follow-up of their migraine; 47.4% (180/380) decreased ≥50% in frequency, which increased the proportion of EM (73.7% vs 87.4%) (P < .001) as compared to the initial results. Factors independently associated with improvement were: a baseline frequency >10 days/month (OR[ 95%]: 3.04 [1.89, 4.89]; P < .001), nonsmoking (2.13 [1.23, 3.67]; P = .006) and a medical follow-up for migraine (2.45 [1.54, 3.90]; P < .001). Additionally, after 10 years, we observed a reduction in the use of preventive treatment (48.7% vs 23.5%) and an increase in monotherapy (42.2% vs 72.7%) (P < .001).Conclusion.-After 10 years, in almost half of the patients who answered the survey, migraine improved. Other than the natural pathophysiology of migraine, having a medical follow-up and healthy habits such as nonsmoking were independent factors associated with improvement.

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