View clinical trials related to Migraine.
Filter by:To investigate whether administration of calcitonin gene-related peptide (CGRP) binding monoclonal antibodies eptinezumab prevents pituitary adenylate cyclase-activating polypeptide-38 (PACAP-38) induced migraine attacks in migraine without aura patients.
The purpose of this study is to evaluate the effect of different exercise types and combinations on migraine attacks in patients with chronic migraine.
This is a cross-sectional, real-world observational, community pharmacy-based study in which adults treated with a triptan for their migraine will self-report productivity and activity impairment using a web-based portal or paper-based questionnaire.
Headache disorders constitute a major global disease burden, and migraine - with a one-year prevalence of 15 % - is the sixth most disabling condition. Though a common disease, the pathogenesis is still unclear. Thus, the treatments have different mechanisms of action and preventive treatments are only effective in approximately 50% of chronic migraine patients. Recent evidence from mice models and a study of prolactine-associated headaches have indicated that dopamine agonists such as cabergoline might be used as a treatment of migraine. The aim of this study is to test the hypothesis that the dopamine agonist cabergoline can be used as a treatment of chronic migraine. A randomized controlled trial of 24 patients with chronic migraine will be conducted, comparing cabergoline to placebo as an add-on medication to the patients' migraine treatment over a 12 weeks period. The primary outcome is change in migraine frequency, but also headache-related hospital contacts, and quality of life as well as prolactin levels and biomarkers of the pituitary-gonadal-axis. The results of the study will help understand the pathogenesis of migraine and might also introduce a more effective and affordable preventive migraine treatment.
The goal of this research is to assess the utility of smartphone-based progressive muscle relaxation (PMR) for the treatment of migraine and sleep. While there are many commercially available electronic diary and mind-body intervention apps for headache, there is little data showing their efficacy. RELAXaHEAD app incorporates the electronic PMR that was successfully used in an earlier epilepsy study and beta tested with headache specialist and migraine patient input. It also is an electric headache diary. The app has been studied and findings have been reported in multiple peer reviewed publications. Also, the app has been updated based on prior feedback from the studies. Now, this 2-arm randomized controlled study will evaluate the feasibility and acceptability of RELAXaHEAD for use with patients with migraine and comorbid insomnia. . One arm will be the RELAX group (the RELAXaHEAD app) and the other arm will be a monitored usual care (MUC) group (this group receives standard of care and uses the electronic daily symptom reporting diary). The goals are to assess the feasibility and adherence of the RELAX intervention in persons with migraine and insomnia (Aim 1) and to gather exploratory data on the effects of the RELAX intervention on headache and sleep related outcome measures (Aim 2).
This is a retrospective controlled survey study to assess the safety of treating migraine with Nerivio during pregnancy and 3 months postpartum. The study will compare migraine and pregnancy-related health and baby health between women with migraine who treated migraine attacks during pregnancy with Nerivio (Nerivio group), to women with migraine who did not treat migraine attacks during pregnancy with Nerivio (control group). Nerivio group participants will be recruited from Theranica's user base. Control group participants will be recruited by health care providers, including headache specialists and OBGYNs (study co-investigators). The study is based on an e-Survey including an e-eligibility questionnaire, an e-ICF ande-Questionnaire. Participants will be compensated for their time.
In 2021, the Italian Medicines Agency approved reimbursement of monoclonal antibodies targeting the CGRP pathway (CGRP-mAbs) as preventive therapies for patients with high frequency and chronic migraine (CM). A moderate to severe disability, quantified as a MIgraine Disability ASsessment (MIDAS) score > or equal to 11, is required for prescription. Score reduction of at least 50% after the first three months (T3) is mandatory to continue treatment. This is a prospective real-life, open-label study. CM patients will be treated with erenumab 70-140 mg subcutaneous injections every 28 days for one year (T13). We will record the following parameters: demographic and headache features, monthly migraine and headache days (MMDs and MHDs respectively), days and doses of symptomatic intake. Patients also completed questionnaires evaluating migraine related disability (MIDAS and HIT-6), psychological comorbidities (HADS-A and HADS-D), quality of life (MSQ and 0 to 100 visual analogue scale) and allodynia (ASC-12). At least a 50% reduction in MIDAS score or MMDs after 3 months of treatment will be testedas predictors of long-term clinical outcome.
This study is being conducted to determine the appropriate dose of rimegepant in Japanese subjects, as well as to evaluate the efficacy, safety, and tolerability of rimegepant in Japanese subjects for the acute treatment of migraine.
Headache disorders are diagnosed by clinical history taking and applying the criteria provided within the International Classification of Headache Disorders Third Edition (ICHD-3). To help patients and physicians in making the correct diagnosis, digital technologies based on natural language processing (NLP) approaches may help to identify headache disorders within naturally patient-provided speech. The research aims to develop statistical models through machine-learning NLP applications for the accurate and precise classification of headache disorders with headache expert given ICHD-3 diagnosis as the gold standard. Furthermore, the research also aims to develop statistical models through machine-learning NLP applications for the estimation of impact scores derived from validated headache questionnaires by using texts as input. Patients from the tertiary headache clinic will be recruited to provide oral narrative textual descriptions of their headache attack characteristics and burden of disease related to their headache disorders. The goal of the research is to develop accessible, evidence-based digital medical tools as low-effort applications for the correct diagnosis of headache disorders and estimation of burden of disease due to headache disorders.
This was a retrospective registry-based study utilizing data collected in association with clinical care of patients. All data was stored in electronic health records at Terveystalo data base, and no patients were contacted for the study.