Background: Currently, only a few specific blood pressure-lowering medications are recommended for migraine prevention. Whether benefits extend to other classes or drugs is uncertain.
Methods: Embase, MEDLINE, and the Cochrane Central Registry of Controlled Trials were searched for randomized control trials on the effect of blood pressure-lowering medications compared with placebo in participants with episodic migraine. Data were collected on four outcomes - monthly headache or migraine days, and monthly headache or migraine attacks, with a standardised mean difference calculated for overall. Random effect meta-analysis was performed.
Results: In total, 50 trials (70% of which were crossover) were included, comprising 60 comparisons. Overall mean age was 39 years, and 79% were female. Monthly headache days were fewer in all classes compared to placebo, and this was statistically significant for all but one class: alpha-blockers -0.7 (95% CI: -1.2, -0.1), angiotensin-converting enzyme inhibitors -1.3 (95% CI: -2.9, 0.2), angiotensin II receptor blockers -0.9 (-1.6, -0.1), beta-blocker -0.4 (-0.8, -0.0) and calcium channel blockers -1.8 (-3.4, -0.2). Standardised mean difference was significantly reduced for all drug classes and was separately significant for numerous specific drugs: clonidine, candesartan, atenolol, bisoprolol, metoprolol, propranolol, timolol, nicardipine and verapamil.
Conclusion: Among people with episodic migraine, a broader number of blood pressure-lowering medication classes and drugs reduce headache frequency than those currently included in treatment guidelines. The study was registered at PROSPERO (CRD42017079176).
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http://dx.doi.org/10.1177/03331024231183166 | DOI Listing |
BMJ Case Rep
January 2025
Department of Neurology, Barwon Health, Geelong, Victoria, Australia.
A male in his 20s presented with episodic headache and subsequently developed episodic unilateral weakness, dysphasia and encephalopathy. These paroxysmal episodes persisted over time with the development of background cognitive impairment and neuropsychiatric symptoms. MRI surveillance demonstrated progressive T2 hyperintensity with focal cortical oedema correlating to symptoms observed during clinical episodes.
View Article and Find Full Text PDFScand J Pain
January 2024
Crean College of Health and Behavioral Sciences, Department of Physical Therapy, Chapman University, Irvine, United States.
Objectives: Autonomic regulation has been identified as a potential regulator of pain via vagal nerve mediation, assessed through heart rate variability (HRV). Non-invasive vagal nerve stimulation (nVNS) and heart rate variability biofeedback (HRVB) have been proposed to modulate pain. A limited number of studies compare nVNS and HRVB in persons with chronic pain conditions.
View Article and Find Full Text PDFCurr Opin Clin Nutr Metab Care
December 2024
Brain, Performance and Nutrition Research Centre, Faculty of Health and Life Sciences, Northumbria University, UK.
Purpose Of Review: Sleep disturbance and low dietary intake of omega-3 fatty acids are common in modern society. Previous research shows that omega-3 fatty acids play an integral role in the regulation of sleep processes, but efficacy data in adults have been equivocal to date. This review examines recent studies highlighting the effects of omega-3 fatty acids on sleep quality and circadian processes.
View Article and Find Full Text PDFHeadache
December 2024
Department and Clinic of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Wroclaw, Poland.
Background: Migraine is the most common disabling headache disorder in the world. Temporomandibular disorders (TMDs) are a group of conditions characterized by pain/dysfunction of masticatory muscles or their associated structures. There is a lack of studies concerning the association between sleep disorders such as sleep bruxism (SB), obstructive sleep apnea (OSA), migraine, and TMD, despite the increased prevalence of these conditions in TMD patients.
View Article and Find Full Text PDFPLoS One
December 2024
ASU-Mayo Center for Innovative Imaging, Tempe, Arizona, United States of America.
Multicenter and multi-scanner imaging studies may be necessary to ensure sufficiently large sample sizes for developing accurate predictive models. However, multicenter studies, incorporating varying research participant characteristics, MRI scanners, and imaging acquisition protocols, may introduce confounding factors, potentially hindering the creation of generalizable machine learning models. Models developed using one dataset may not readily apply to another, emphasizing the importance of classification model generalizability in multi-scanner and multicenter studies for producing reproducible results.
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