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Introduction: Long-term (1-year) fremanezumab treatment proved to be effective, safe, and well tolerated in individuals with migraine and < 2 medication clusters in a randomized controlled trial (RCT). We aimed to assess real-world evidence (RWE), long-term effectiveness, tolerability, and safety of fremanezumab in people with high-frequency episodic migraine (HFEM) or chronic migraine (CM) with > 3 treatment failures and various comorbidities., Methods: A 48-week, prospective, multicenter (n = 26), cohort study assessed fremanezumab's effectiveness, safety, and tolerability in consecutive adults with HFEM or CM with > 3 treatment failures. Primary endpoint was variation from baseline in monthly migraine days (MMD) in HFEM and monthly headache days (MHD) in CM at weeks 45-48. Secondary endpoints were changes in monthly analgesic medications, Numerical Rating Scale (NRS), Headache Impact Test (HIT-6), and the Migraine Disability Assessment Scale (MIDAS) scores and ≥ 50%, ≥ 75%, and 100% responder rates., Results: Of 533 participants who had received ≥ 1 fremanezumab dose, 130 were treated for ≥ 48 weeks and considered for effectiveness analysis. No participant missed any treatment dosage every other consecutive month during the 12-month period., Primary Endpoint: fremanezumab significantly (p < 0.001) reduced both MMD (- 6.4) in HFEM and MHD (- 14.5) in CM. Secondary endpoints: a significant reduction (p < 0.001) was observed in monthly analgesic medications (HFEM - 6.0; CM -16.5), NRS (HFEM - 3.4; CM - 3.4), HIT-6 (HFEM - 16.9; CM - 17.9) and MIDAS score (HFEM - 50.4; CM - 76.6). The ≥ 50%, ≥ 75%, and 100% response rates to fremanezumab were 75.5%, 36.7%, and 2% in HFEM and 71.6%, 44.4%, and 3.7% in CM. Corresponding response rates were 60.5%, 37.2%, and 2.3% in individuals with psychiatric comorbidities, 74.2%, 50%, and 4.8% in CM with medication overuse, and 60.9%, 39.1%, and 4.3% in CM with medication overuse and psychiatric comorbidities. Mild and transient treatment-emergent adverse events occurred in 7.8% of the participants. No subject discontinued the treatment for any reason., Conclusion: This RWE study documents that long-term fremanezumab treatment is highly effective and remarkably well tolerated in subjects with HFEM or CM with multiple (> 3) therapeutic failures, even in the presence of concomitant medication overuse, psychiatric comorbidities, or both. The effectiveness-to-tolerability ratio appears to be better in RWE than in RCTs., (© 2024. The Author(s).)

Chronic migraine is a disease with a high burden on patients from both a working and quality of life point of view. The pathophysiology of this subtype of migraine is due to several factors, such as medication overuse. Nevertheless, the detrimental recurring of headache attacks with central and peripheral sensitization plays a central role and explains some additional symptoms complained about by these patients even in the interictal phase. OnabotulinumtoxinA is a therapy indicated for chronic migraine since it has proven to reduce peripheral sensitization, showing even efficacy on central symptoms. The aim of this narrative review is to present the current evidence regarding the effect of OnabotulinumtoxinA on sensitization and interictal symptoms.

A 4-year-old female was diagnosed with Type II Aortopulmonary window after being seen for a murmur. By utilizing multimodality advanced imaging, including 2D and 3D echo, computed tomography (CTA) with semi-transparent overlay as a road map, we were able to preoperatively plan camera angles and device selection as well as close the defect percutaneously under echocardiography guidance. This report highlights the importance of a multimodality imaging approach to interventional procedures., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Migraine is one of the most prevalent and disabling neurological conditions, presenting episodes of throbbing headache that limit activities of daily living. Several factors may influence migraine frequency, such as lifestyle or alcohol consumption. Among the most recognised ones, sleep plays a biunivocal role, since poor sleep quality may worsen migraine frequency, and a high migraine frequency may affect sleep quality. In this paper, the authors evaluate the relationship between migraine and insomnia by exploring a cohort of patients affected by episodic or chronic migraine. To do so, a phone interview was performed, asking patients about their migraine frequency and mean pain intensity, in addition to the questions of the Insomnia Severity Index. The last one explores several symptoms impairing sleep that focus on insomnia. Patients complaining of insomnia showed an increased migraine frequency, and a weak but significant correlation was found between headache days per month and insomnia scores. Such results were particularly evident in patients affected by chronic migraine. Such results suggest how insomnia, in the presented data, seems to be associated with migraine frequency but not with pain intensity.

Migraine is a burdensome neurological disorder that still lacks clear and easily accessible diagnostic biomarkers. Furthermore, a straightforward pathway is hard to find for migraineurs' management, so the search for response predictors has become urgent. Nowadays, artificial intelligence (AI) has pervaded almost every aspect of our lives, and medicine has not been missed. Its applications are nearly limitless, and the ability to use machine learning approaches has given researchers a chance to give huge amounts of data new insights. When it comes to migraine, AI may play a fundamental role, helping clinicians and patients in many ways. For example, AI-based models can increase diagnostic accuracy, especially for non-headache specialists, and may help in correctly classifying the different groups of patients. Moreover, AI models analysing brain imaging studies reveal promising results in identifying disease biomarkers. Regarding migraine management, AI applications showed value in identifying outcome measures, the best treatment choices, and therapy response prediction. In the present review, the authors introduce the various and most recent clinical applications of AI regarding migraine.