Migraine Preventive Medications Research Articles

Anti-Calcitonin Gene-Related Peptide Monoclonal Antibody Is Effective for Preventing Migraine Aura Without Headache

Background: Anti-calcitonin gene-related peptide monoclonal antibodies (CGRP mAbs) are clinically effective in preventing the migraine attacks, photophobia, and migraine auras associated with headaches. However, no study has yet investigated the effectiveness of CGRP mAbs in preventing migraine aura without headache. Case report: A female patient of 49 years old presented with a long history (since age 10) of photosensitivity and typical migraine auras without a headache. The symptoms slightly responded to oral medication, lomerizine chloride, but did not completely resolve. Just one day after the administration of galcanezumab, her photo-hypersensitivity and migraine aura had completely resolved. Consequently, the administration of the oral migraine preventive medication was discontinued. Monthly galcanezumab at a dose of 120 mg was continuously given and she did not re-experience any auras or headaches. Conclusions: The use of CGRP mAbs can be considered as a potential treatment in preventing migraine aura without headache. Currently, CGRP mAb is indicated only for migraines with and without auras. Given our findings and the promising effects of this medication for this migraine subtype, a large clinical trial is required to better assess the effects and potential adverse events of CGRP mAb in patients with migraine aura without headache.

Changes in Use of Migraine Medications, Healthcare Resource Utilization, and Associated Direct Costs Over 12Months Following Initiation of Erenumab: A US Retrospective Real-World Analysis.

Erenumab-aooe is approved for the preventive treatment of migraine in adults. Recent publications have evaluated migraine medication use during the 6 months after starting erenumab, but longer-term follow-up data are limited. The objective of this study was to describe 12-month medication use and changes in healthcare resource utilization (HRU) and associated direct costs among patients initiating erenumab. We identified adult patients with an erenumab claim in the Merative MarketScan Commercial and Medicare Databases from May 2018 through September 2019. Eligible patients had ≥ 12months of continuous medical and pharmacy coverage before (pre-index period) and after (post-index period) the index date (first erenumab claim) in addition to pre-index evidence of migraine. Patients were stratified by post-index-period adherence to erenumab, defined as ≥ 80% of days covered (adherent) or < 80% of days covered (non-adherent). Outcomes were measured pre- and post-index, and differences between these periods were described. Among 7528 eligible patients, the mean (standard deviation) age was 45.1 (11.4) years and 85.4% were female; 38.5% of patients were adherent to erenumab. Most patients used acute or traditional migraine-preventive medications pre-index, with reductions in use observed post-index (acute medication was used by 95.6% of patients pre-index, compared to 92.3% post-index; traditional preventive medication was used by 89.6% of patients pre-index, compared to 81.9% post-index). Reductions were observed for HRU of emergency room visits (-3.8%) and brain- and other head-imaging studies (-7.5%). Overall costs associated with acute and traditional preventive medications were reduced (-$764), but costs for HRU increased slightly ($76). When stratifying by adherence and combining costs for acute and traditional preventive medications and HRU, adherent patients had cost decreases (-$1947), while non-adherent patients had cost increases ($101). Most patients initiating erenumab had prior use of acute and traditional migraine-preventive therapies. The reduction in acute and traditional migraine-preventive medication use and HRU over the 12-month follow-up supports the long-term clinical benefits of erenumab in the real-world setting.

Proteome-wide Mendelian randomization identified potential drug targets for migraine

BackgroundMigraine is a highly prevalent and complex neurovascular disease. However, the currently available therapeutic drugs often fall to adequately meet clinical needs due to limited effectiveness and numerous undesirable side effects. This study aims to identify putative novel targets for migraine treatment through proteome-wide Mendelian randomization (MR).MethodsWe utilized MR to estimate the causal effects of plasma proteins on migraine and its two subtypes, migraine with aura (MA) and without aura (MO). This analysis integrated plasma protein quantitative trait loci (pQTL) data with genome-wide association studies (GWAS) findings for these migraine phenotypes. Moreover, we conducted a phenome-wide MR assessment, enrichment analysis, protein–protein interaction networks construction, and mediation MR analysis to further validate the pharmaceutical potential of the identified protein targets.ResultsWe identified 35 protein targets for migraine and its subtypes (p < 8.04 × 10–6), with prioritized targets showing minimal side effects. Phenome-wide MR identified novel protein targets—FCAR, UBE2L6, LATS1, PDCD1LG2, and MMP3—that have no major disease side effects and interacted with current acute migraine medication targets. Additionally, MMP3, PDCD1LG2, and HBQ1 interacted with current preventive migraine medication targets. The causal effects of plasma protein on migraine were partly mediated by plasma metabolites (proportion of mediation from 3.8% to 21.0%).ConclusionsA set of potential protein targets for migraine and its subtypes were identified. These proteins showed rare side effects and were responsible for biological mechanisms involved in migraine pathogenesis, indicating priority for the development of migraine treatments.

Changes in use of acute and preventive medications for migraine after erenumab initiation over 12 months: A United States retrospective cohort study.

To assess changes in real-world use of acute and preventive medications for migraine over a 12-month follow-up period in the United States following initiation of the anti-calcitonin gene-related peptide (CGRP) pathway monoclonal antibody (mAb) erenumab. Early assessments of real-world use of acute and preventive medications for migraine after initiation of erenumab have been limited to 6 months of follow-up. This retrospective cohort study used data from the IQVIA open-source longitudinal prescription (LRx) and medical (Dx) claims databases. Adult patients with an initial claim (index date) for erenumab between May 2018 and April 2020 were identified. Among 201,176 patients who met inclusion criteria, the mean (standard deviation [SD]) age was 47.5 (13.8) years and 85.6% (n = 172,153) were female. Most patients used one or more acute (88.4%; n = 177,795) and one or more traditional preventive (86.1%; n = 173,225) medications during the 12-month pre-index period. Adherence to erenumab (proportion of days covered [PDC] ≥0.80) was 40.2% (n = 80,927) with an overall mean (SD) PDC of 0.60 (0.34). Among all patients, 70.0% (n = 140,809) discontinued erenumab. After accounting for 24.7% (n = 49,720) of patients who restarted erenumab, discontinuation without reinitiation was observed in 45.3% (n = 91,089) of total patients. Switching to a different anti-CGRP pathway mAb was observed in 13.1% (n = 26,446) of total patients. Among 177,795 patients with pre-index use of one or more acute migraine medication class, 86.5% (n = 153,788) had post-index use of the same class, and 56.7% (87,134/153,788) of them discontinued one or more class of acute medication in the 12-month follow-up period. Similarly, among 173,225 patients with pre-index use of one or more traditional migraine preventive medication class, 67.7% (n = 117,274) had post-index use of the same class, and 46.7% (54,790/117,274) of them discontinued one or more class of traditional preventive medication in the 12-month follow-up period. In this long-term study, we observed the discontinuation of both acute and preventive medications for migraine post-erenumab initiation.

Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications. Currently, there is no accurate way to predict response to migraine preventive medications, and the standard trial-and-error approach is inefficient. In this cohort study, we analyzed data from the Mayo Clinic Headache database prospectively collected from 2001 to December 2023. Adult patients with migraine completed questionnaires during their initial headache consultation to record detailed clinical features and then at each follow-up to track preventive medication changes and monthly headache days. We included patients treated with at least one of the following migraine preventive medications: topiramate, beta-blockers (propranolol, metoprolol, atenolol, nadolol, timolol), tricyclic antidepressants (amitriptyline, nortriptyline), verapamil, gabapentin, onabotulinumtoxinA, and calcitonin gene-related peptide (CGRP) monoclonal antibodies (mAbs) (erenumab, fremanezumab, galcanezumab, eptinezumab). We pre-trained a deep neural network, "TabNet," using 145 variables, then employed TabNet-embedded data to construct prediction models for each medication to predict binary outcomes (responder vs. non-responder). A treatment responder was defined as having at least a 30% reduction in monthly headache days from baseline. All model performances were evaluated, and metrics were reported in the held-out test set (train 85%, test 15%). SHapley Additive exPlanations (SHAP) were conducted to determine variable importance. Our final analysis included 4260 patients. The responder rate for each medication ranged from 28.7% to 34.9%, and the mean time to treatment outcome for each medication ranged from 151.3 to 209.5 days. The CGRP mAb prediction model achieved a high area under the receiver operating characteristics curve (AUC) of 0.825 (95% confidence interval [CI] 0.726, 0.920) and an accuracy of 0.80 (95% CI 0.70, 0.88). The AUCs of prediction models for beta-blockers, tricyclic antidepressants, topiramate, verapamil, gabapentin, and onabotulinumtoxinA were: 0.664 (95% CI 0.579, 0.745), 0.611 (95% CI 0.562, 0.682), 0.605 (95% CI 0.520, 0.688), 0.673 (95% CI 0.569, 0.724), 0.628 (0.533, 0.661), and 0.581 (95% CI 0.550, 0.632), respectively. Baseline monthly headache days, age, body mass index (BMI), duration of migraine attacks, responses to previous medication trials, cranial autonomic symptoms, family history of headache, and migraine attack triggers were among the most important variables across all models. A variable could have different contributions; for example, lower BMI predicts responsiveness to CGRP mAbs and beta-blockers, while higher BMI predicts responsiveness to onabotulinumtoxinA, topiramate, and gabapentin. We developed an accurate prediction model for CGRP mAbs treatment response, leveraging detailed migraine features gathered from a headache questionnaire before starting treatment. Employing the same methods, the model performances for other medications were less impressive, though similar to the machine learning models reported in the literature for other diseases. This may be due to CGRP mAbs being migraine-specific. Incorporating medical comorbidities, genomic, and imaging factors might enhance the model performance. We demonstrated that migraine characteristics are important in predicting treatment responses and identified the most crucial predictors for each of the seven types of preventive medications. Our results suggest that precision migraine treatment is feasible.

Treatment patterns of patients with migraine eligible for anti-CGRP pathway monoclonal antibodies.

Migraine is a debilitating neurological disorder, with a wide range of symptoms and disease burden, underscoring the heterogeneity of patients' disease characteristics and treatment needs. To characterize the profile of migraine patients in the US who may be eligible for preventive treatment with an anti-CGRP pathway mAb and to better understand treatment patterns and real-world use of acute and preventive medications for migraine, we conducted a retrospective cohort study of adult patients. These patients were identified as having migraine using diagnosis codes or migraine-specific medication use (first = index) in the IQVIA PharMetrics® Plus database. Patients were required to have ≥ 12 months of continuous enrollment in medical and pharmacy benefits prior to index (baseline) and after index (follow-up). Patients were stratified into chronic migraine (CM) and non-chronic migraine (non-CM) by diagnosis codes. Based on acute migraine-specific medication dispensing data in the follow-up period, non-CM patients were divided into 3 cohorts: highest, middle, and lowest tertile of total units of dispensed acute migraine-specific medication (gepants, ditans, ergot derivatives, and triptans). Migraine medication use was captured in the baseline and follow-up periods. A total of 22,584 CM and 216,807 non-CM patients (72,269 patients in each tertile) were identified and included in the study. Over the follow-up, CM patients had a mean of 70 units of acute migraine-specific medications dispensed, while the highest, middle, and lowest tertile of non-CM patients had a mean of 92, 29, and 10 units, respectively. Anti-calcitonin gene-related peptide pathway mAbs were dispensed for 28.9% of CM patients, and for 6.9%, 4.1%, and 2.9% of non-CM patients in the highest, middle, and lowest tertiles, respectively. A lower proportion of non-CM patients had use of anti-calcitonin gene-related peptide pathway mAbs compared to CM patients, confirming the unmet need with appropriate preventive medication. There appears to be a persistent gap in management of patients without a diagnosis of CM who are dispensed high quantities of acute migraine-specific medications.

CGRP Modulating Therapies: An Update.

Calcitonin-gene related peptide (CGRP) is a vasoactive neuropeptide involved in the pathophysiology ofmigraine. CGRP has been targeted for both preventive and acute treatment of migraine. Provide a summary of the most clinically relevant literature surrounding CGRP modulating therapies. This update on CGRP modulating therapies includes articles selected as most clinically relevant by theauthors. CGRP modulating therapies are an exciting new addition to migraine treatment given their safety andtolerability. Additionally, compared to traditional migraine preventive medication these treatments are migrainespecific.Further real-world and clinical data is ongoing to better understand these treatments that continue to gainfavor in the management of migraine.

A 3-year follow-up study of outcomes associated with patterns of traditional acute and preventive migraine treatment: An administrative claims-based cohort study in the United States.

To describe treatment patterns and direct healthcare costs over 3 years following initiation of standard of care acute and preventive migraine medications in patients with migraine in the United States. There are limited data on long-term (>1 year) migraine treatments patterns and associated outcomes. This was a retrospective, observational cohort study using US claims data from the IBM® MarketScan® Research Database (January 2010-December 2017). Adults were included if they had a prescription claim for acute migraine treatments (AMT) or preventive migraine treatments (PMT) in the index period (January 2011-December 2014). The AMT cohort was categorized as persistent, cycled, or added-on subgroups; the PMT cohort was categorized PMT-persistent, switched without gaps, or cycled with gaps. Migraine-specific annual direct costs (2017 US$) across AMT and PMT cohort subgroups were summarized at baseline through 3 years from index (follow-up). During the index period, 20,778 and 42,259 patients initiated an AMT and a PMT, respectively. At the 3-year follow-up, migraine-specific direct costs were lower in the persistent subgroup relative to the non-persistent subgroups in both AMT (mean [SD]: $789 [$1741] vs. $2847 [$8149] in the added-on subgroup and $862 [$5426] for the cycled subgroup) and PMT cohorts (mean [SD]: $1817 [$5892] in the persistent subgroup vs. $4257 [$11,392] in the switched without gaps subgroup and $3269 [$18,540] in the cycled with gaps subgroup). Acute medication overuse was lower in the persistent subgroup (1025/6504 [27.2%]) vs. non-persistent subgroups (11,236/58,863 [32.2%] in cycled with gaps subgroup and 1431/6504 [39.4%] in the switched without gaps subgroup). Most patients used multiple acute (19,717/20,778 [94.9%]) or preventive (38,494/42,259 [91.1%]) pharmacological therapies over 3 years following treatment initiation. Gaps in preventive therapy were common; an average gap ranged from 85 to 211 days (~3-7 months). Migraine-specific annual healthcare costs and acute migraine medication overuse remained lowest among patients with persistent AMT and PMT versus non-persistent treatment. Study findings are limited to the US population. Future studies should compare costs and associated outcomes between newer preventive migraine medications in patients with migraine.

Functional impairment of chronic migraine with medication overuse: Secondary analysis from the Medication Overuse Treatment Strategy (MOTS) trial.

Chronic migraine exerts substantial negative impacts on daily functioning. Efforts to manage impaired functioning may result in medication overuse, which contributes to the worsening profile and chronification of migraine. The Migraine Functional Impact Questionnaire (MFIQ) is a recently developed measure assessing the impact of migraine on physical, social, and emotional function. The objective of this analysis was to assess changes in MFIQ scores following initiation or modification of migraine preventive medication and determine if changes in function are associated with changes in other aspects of migraine burden, such as headache frequency, headache intensity, and symptoms of anxiety and depression. This is a secondary analysis of data from the Medication Overuse Treatment Strategy (MOTS) trial, a prospective pragmatic clinical trial that investigated two treatment strategies for those with chronic migraine and medication overuse. Data from both treatment arms were pooled and analyzed using a pre-post design. Prior to and 12 weeks following initiation or modification of migraine preventive medication, participants completed a series of questionnaires that captured migraine characteristics, medication use, migraine-related physical impairment (MFIQ), anxiety (Generalized Anxiety Disorder-7), and depression (Patient Health Questionnaire 9 [PHQ-9]) symptoms. Changes from baseline in all measures were assessed using the paired t-test. Relationships between changes in MFIQ scores and other measures were assessed using linear regression. Multivariable modeling was performed to determine which additional variables contributed to the change in MFIQ beyond that already explained by an individual variable. Model terms were selected by using elastic net regularization. Only those participants who completed the baseline and 12-week MFIQ were included in this analysis. Of the 537 patients, 88.2% were female, and the average age was 45 years (standard deviation 13). The mean frequency of days with moderate-to-severe headache improved 39.2% from 13.5 per 30 days at baseline to 8.1 per 30 days at week 12. The mean MFIQ Usual Activities Global score improved by 15.0 points (on a 100-point scale). All five domains (Usual Activities Global, Usual Activities, Social Function, Emotional Function, Physical Function) of the MFIQ improved by a mean of at least 13.0 points. Changes in PHQ-9 score, followed by changes in headache frequency, had the strongest associations with change in all domains of the MFIQ. The negative impact of chronic migraine with medication overuse on physical, social, and emotional functioning substantially lessened following initiation or modification of migraine preventive medication. Improved functioning, as measured by the MFIQ, was most strongly associated with reductions in depression scores and headache frequency, highlighting the importance of recognizing and monitoring changes in depressive symptoms, in addition to headache frequency and functional impairment, when evaluating response to preventive medications.

Characterizing gaps in the preventive pharmacologic treatment of migraine: Multi-country results from the CaMEO-I study.

To analyze data from the Chronic Migraine Epidemiology and Outcomes-International (CaMEO-I) Study in order to characterize preventive medication use and identify preventive usage gaps among people with migraine across multiple countries. Guidelines for the preventive treatment of migraine are available from scientific organizations in various countries. Although these guidelines differ among countries, eligibility for preventive treatment is generally based on monthly headache day (MHD) frequency and associated disability. The overwhelming majority of people with migraine who are eligible for preventive treatment do not receive it. The CaMEO-I Study was a cross-sectional, observational, web-based panel survey study performed in six countries: Canada, France, Germany, Japan, the United Kingdom, and the United States. People were invited to complete an online survey in their national language(s) to identify those with migraine according to modified International Classification of Headache Disorders, 3rd edition, criteria. People classified with migraine answered questions about current and ever use of both acute and preventive treatments for migraine. Available preventive medications for migraine differed by country. MHD frequency and associated disability data were collected. The American Headache Society (AHS) 2021 Consensus Statement algorithm was used to determine candidacy for preventive treatment (i.e., ≥3 monthly MHDs with severe disability, ≥4 MHDs with some disability, or ≥6 MHDs regardless of level of disability). Among 90,613 valid completers of the screening survey, 14,492 met criteria for migraine and completed the full survey, with approximately 2400 respondents from each country. Based on the AHS consensus statement preventive treatment candidacy algorithm, averaging across countries, 36.2% (5246/14,492) of respondents with migraine qualified for preventive treatment. Most respondents (84.5% [4431/5246]) who met criteria for preventive treatment according to the AHS consensus statement were not using a preventive medication at the time of the survey. Moreover, 19.3% (2799/14,492) of respondents had ever used preventive medication (ever users); 58.1% (1625/2799) of respondents who reported ever using a preventive medication for migraine were still taking it. Of the respondents who were currently using a preventive medication, 50.2% (815/1625) still met the criteria for needing preventive treatment based on the AHS consensus statement. Most people with migraine who qualify for preventive treatment are not currently taking it. Additionally, many people currently taking preventive pharmacologic treatment still meet the algorithm criteria for needing preventive treatment, suggesting inadequate benefit from their current regimen.

Patient Reluctance as a Possible Barrier to Taking Migraine Preventive Medications: Results of the OVERCOME (US) Study (P2-12.004)

Patient Reluctance as a Possible Barrier to Taking Migraine Preventive Medications: Results of the OVERCOME (US) Study (P2-12.004)

Research priorities for randomised controlled trials in chronic migraine preventive medication: A stakeholder consensus workshop

Background Chronic migraine is a disabling condition that can substantially impact on quality of life. People with chronic migraine have headaches on at least 15 days of every month. Preventative medications aiming to reduce number of days with migraine are available, but high-quality randomised evidence is lacking for many drugs, and it is unclear which medications should be prioritised for research. There is also no existing evidence about patient and clinicians’ priorities for research. Methods We undertook a consensus workshop with patient and healthcare professional stakeholders, using nominal group technique, to understand these stakeholders’ priorities for future randomised controlled trials. We reached a consensus on a set of research recommendations for the field. Results Eight people with chronic migraine and eleven healthcare professionals took part in an online workshop. Comparisons of calcitonin gene-related peptide monoclonal antibodies (CGRP MAbs) and OnabotulinumtoxinA (BTA) were a top priority for our group. Candesartan and Flunarizine were the top drugs the group wanted to compare against placebo. Conclusions These research recommendations should guide researchers in the field, and funders when prioritising commissioned research and assessing funding applications. Particular areas to explore further are Candesartan or Flunarizine versus placebo, and comparing and combining CGRP MAbs with other medications.

Adverse and serious adverse events incidence of pharmacological interventions for managing chronic and episodic migraine in adults: a systematic review

BackgroundMigraine is the second most common prevalent disorder worldwide and is a top cause of disability with a substantial economic burden. Many preventive migraine medications have notable side effects that...

Medication "underuse" headache.

Many risk factors have been associated with migraine progression, including insufficient and ineffective utilization of migraine medications; however, they have been inadequately explored. This has resulted in suboptimal usage of medications without effective altering of prescribing recommendations for patients, posing a risk for migraine chronification. Our aim is to conduct a comprehensive review of the available evidence regarding the underuse of migraine medications, both acute and preventive. The term "underuse" includes, but is not limited to: (1) ineffective use of appropriate and inappropriate medication; (2) underutilization; (3) inappropriate timing of usage; and (4) patient dissatisfaction with medication. The underuse of both acute and preventive medications has been shown to contribute to the progression of migraine. In terms of acute medication, chronification occurs as a result of insufficient drug use, including failure of the prescriber to select the appropriate type based on pain intensity and disability, patients taking medication too late (more than 60 minutes after the onset or after central sensitization has occurred as evidenced by allodynia), and discontinuation because of lack of effect or intolerable side effects. The underlying cause of inadequate effectiveness of acute medication lies in its inability to halt the propagation of peripheral activation to central sensitization in a timely manner. For oral and injectable preventive migraine medications, insufficient efficacy and intolerable side effects have led to poor adherence and discontinuation with subsequent progression of migraine. The underlying pathophysiology here is rooted in the repetitive stimulation of afferent sensory pain fibers, followed by ascending brainstem pain pathways plus dysfunction of the endogenous descending brainstem pain inhibitory pathway. Although anti-calcitonin gene-related peptide (CGRP) medications partially address pain caused by the above factors, including decreased efficacy and tolerability from conventional therapy, some patients do not respond well to this treatment. Research suggests that initiating preventive anti-CGRP treatment at an early stage (during low frequency episodic migraine attacks) is more beneficial than commencing it during high frequency episodic attacks or when chronic migraine has begun. The term "medication underuse" is underrecognized, but it holds significant importance. Optimal usage of acute care and preventive migraine medications could potentially prevent migraine chronification and improve the treatment of migraine attacks.

A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.

To develop a natural language processing (NLP) algorithm that can accurately extract headache frequency from free-text clinical notes. Headache frequency, defined as the number of days with any headache in a month (or 4 weeks), remains a key parameter in the evaluation of treatment response to migraine preventive medications. However, due to the variations and inconsistencies in documentation by clinicians, significant challenges exist to accurately extract headache frequency from the electronic health record (EHR) by traditional NLP algorithms. This was a retrospective cross-sectional study with patients identified from two tertiary headache referral centers, Mayo Clinic Arizona and Mayo Clinic Rochester. All neurology consultation notes written by 15 specialized clinicians (11 headache specialists and 4 nurse practitioners) between 2012 and 2022 were extracted and 1915 notes were used for model fine-tuning (90%) and testing (10%). We employed four different NLP frameworks: (1) ClinicalBERT (Bidirectional Encoder Representations from Transformers) regression model, (2) Generative Pre-Trained Transformer-2 (GPT-2) Question Answering (QA) model zero-shot, (3) GPT-2 QA model few-shot training fine-tuned on clinical notes, and (4) GPT-2 generative model few-shot training fine-tuned on clinical notes to generate the answer by considering the context of included text. The mean (standard deviation) headache frequency of our training and testing datasets were 13.4 (10.9) and 14.4 (11.2), respectively. The GPT-2 generative model was the best-performing model with an accuracy of 0.92 (0.91, 0.93, 95% confidence interval [CI]) and R2 score of 0.89 (0.87, 0.90, 95% CI), and all GPT-2-based models outperformed the ClinicalBERT model in terms of exact matching accuracy. Although the ClinicalBERT regression model had the lowest accuracy of 0.27 (0.26, 0.28), it demonstrated a high R2 score of 0.88 (0.85, 0.89), suggesting the ClinicalBERT model can reasonably predict the headache frequency within a range of ≤ ± 3 days, and the R2 score was higher than the GPT-2 QA zero-shot model or GPT-2 QA model few-shot training fine-tuned model. We developed a robust information extraction model based on a state-of-the-art large language model, a GPT-2 generative model that can extract headache frequency from EHR free-text clinical notes with high accuracy and R2 score. It overcame several challenges related to different ways clinicians document headache frequency that were not easily achieved by traditional NLP models. We also showed that GPT-2-based frameworks outperformed ClinicalBERT in terms of accuracy in extracting headache frequency from clinical notes. To facilitate research in the field, we released the GPT-2 generative model and inference code with open-source license of community use in GitHub. Additional fine-tuning of the algorithm might be required when applied to different health-care systems for various clinical use cases.

Early Use of Erenumab vs Nonspecific Oral Migraine Preventives

Patients with migraine often cycle through multiple nonspecific preventive medications due to poor tolerability and/or inadequate efficacy leading to low adherence and increased disease burden. To compare the efficacy, tolerability, patient adherence, and patient satisfaction between erenumab and nonspecific oral migraine preventive medications (OMPMs) in patients with episodic migraine (EM) who had previously failed 1 or 2 preventive treatments. The 12-month prospective, interventional, global, multicenter, active-controlled, randomized clinical trial comparing sustained benefit of 2 treatment paradigms (erenumab qm vs oral prophylactics) in adult episodic migraine patients (APPRAISE) trial was a 12-month open-label, multicenter, active-controlled, phase 4 randomized clinical trial conducted from May 15, 2019, to October 1, 2021. This pragmatic trial was conducted at 84 centers across 17 countries. Overall, participants 18 years or older with a 12-month or longer history of migraine, and 4 or more but fewer than 15 monthly migraine days (MMDs) were included. Patients were randomized (2:1) to receive erenumab or OMPMs. Dose adjustment was permitted (label dependent). The primary end point was the proportion of patients completing 1 year of the initially assigned treatment and achieving a reduction of 50% or greater from baseline in MMDs at month 12. Secondary end points included the cumulative mean change from baseline in MMDs during the treatment period and the proportion of responders according to the Patients' Global Impression of Change (PGIC) scale at month 12 for patients taking the initially assigned treatment. A total of 866 patients were screened, of whom 245 failed the screening and 621 completed the screening and baseline period. Of the 621 randomized patients (mean [SD] age, 41.3 [11.2] years; 545 female [87.8%]; 413 [66.5%] in the erenumab group; 208 [33.5%] in the OMPM group), 523 (84.2%) completed the treatment phase, and 98 (15.8%) discontinued the study. At month 12, significantly more patients assigned to erenumab vs OMPM achieved the primary end point (232 of 413 [56.2%] vs 35 of 208 [16.8%]; odds ratio [OR], 6.48; 95% CI, 4.28-9.82; P <.001). Compared with OMPMs, treatment with erenumab showed higher responder rate (314 of 413 [76.0%] vs 39 of 208 [18.8%]; OR, 13.75; 95% CI, 9.08-20.83; P <.001) on the PGIC scale (≥5 at month 12). Significant reduction in cumulative average MMDs was reported with erenumab treatment vs OMPM treatment (-4.32 vs -2.65; treatment difference [SE]: -1.67 [0.35] days; P < .001). Substantially fewer patients in the erenumab arm compared with the OMPM arm switched medication (9 of 413 [2.2%] vs 72 of 208 [34.6%]) and discontinued treatment due to adverse events (12 of 408 [2.9%] vs 48 of 206 [23.3%]). No new safety signals were identified. Results of this randomized clinical trial demonstrated that earlier use of erenumab in patients with EM who failed 1 or 2 previous preventive treatments provided greater and sustained efficacy, safety, and adherence than continuous OMPM. ClinicalTrials.gov Identifier: NCT03927144.

Treatment patterns of galcanezumab versus standard of care preventive migraine medications over 24 months: a US retrospective claims study

Objective To describe long-term (24-month) treatment patterns of patients initiating galcanezumab versus standard of care (SOC) preventive migraine treatments including anticonvulsants, beta-blockers, antidepressants, and onabotulinumtoxinA using administrative claims data. Methods This retrospective cohort study, which used Optum de-identified Market Clarity data, included adults with migraine with ≥1 claim for galcanezumab or SOC preventive migraine therapy (September 1, 2018 − March 31, 2020) and continuous database enrollment for 12 months before (baseline) and 24 months after (follow-up) the index date (date of first claim). Baseline patient demographics, clinical characteristics, and treatment patterns were analyzed after 24-month follow-up, including adherence (measured as the proportion of days covered [PDC]), persistence, discontinuation (≥60-day gap), restart, and treatment switch. Propensity score matching (1:1) was used to balance the galcanezumab and SOC cohorts. Results The study included 2307 matched patient pairs with 24-month follow-up. The mean age across cohorts was 44.5 years (females: ∼87%). Patients in the galcanezumab versus SOC cohort demonstrated greater treatment adherence (PDC: 48% vs. 38%), with more patients considered adherent (PDC ≥80%: 26.6% vs. 20.7%) and persistent (322.1 vs. 236.4 d) (all p < .001). After 24-month follow-up, fewer galcanezumab-treated patients had discontinued compared with SOC-treated patients (80.1% vs. 84.7%; p < .001), of which 41.3% and 39.6% switched to a non-index medication, respectively. The most prevalent medication patients switched to in both cohorts was erenumab. Significantly greater proportions of patients who initiated galcanezumab versus SOC medications switched to fremanezumab (p < .001) and onabotulinumtoxinA (p = .016). Conclusion Patients who initiated galcanezumab for migraine prevention had higher treatment adherence and persistence compared with those who initiated SOC medications after 24-month follow-up.

Preventive treatment patterns in the adult migraine population: an observational UK study over 7 years

BackgroundCalcitonin gene-related peptide monoclonal antibodies (CGRP mAbs) are recommended by the United Kingdom National Institute of Health and Care Excellence for the prevention of migraine as treatment beyond third line. We report migraine prevalence and preventive treatment patterns in the adult United Kingdom primary care population over a 7.5-year period, focusing on patients ceasing ≥ 3 oral preventive medication classes.MethodsStudy populations were retrieved from the Clinical Practice Research Datalink GOLD database (study period: 19 September 2012 to 1 January 2020; inclusion criteria: ≥12 months follow-up, current-in-dataset, adult on 1 January 2020). Patients who used ≥ 1 oral preventive medication with ≥ 3-year follow-up after first prescription were considered preventive treatment users; class cessation was defined as cessation without evidence of restart within 6 months from end-of-supply date.ResultsOn 1 January 2020, 3.0% of the total study population were diagnosed with migraine (n = 81,190/2,664,306); of these, 42.4% were preventive treatment users (n = 34,448/81,190). The most frequently used oral migraine preventive medication classes were beta-blockers (n = 14,713), tricyclic antidepressants (n = 14,415) and antiepileptics (n = 6497). Among preventive treatment users, 7.7% (n = 2653/34,448) ceased ≥ 3 oral preventive medication classes; of these, 21.7% (n = 576/2653) had been referred to a neurologist.ConclusionsCompared to existing population-based estimates of migraine prevalence, our data further corroborates that a considerable proportion of patients with migraine do not seek treatment. Among those who sought primary care within a 7.5-year period, almost half received empirical oral preventive treatment. Importantly, nearly 1 of 10 preventive treatment users ceased ≥ 3 oral preventive medication classes, highlighting a need for additional therapeutic options. These patients may benefit from CGRP antagonists and/or injectable onabotulinumtoxinA; however, only a minority was referred to specialist care, where these options would be more available.Trial RegistrationNot applicable.

MRI radiomics based machine learning model of the periaqueductal gray matter in migraine patients.

<p>The aim of the study was to investigate the question: Can MRI radiomics analysis of the periaqueductal gray region elucidate the pathophysiological mechanisms underlying various migraine subtypes, and can a machine learning model using these radiomics features accurately differentiate between migraine patients and healthy individuals, as well as between migraine subtypes, including atypical cases with overlapping symptoms?</p>. <p>The study analyzed initial MRI images of individuals taken after their first migraine diagnosis, and additional MRI scans were acquired from healthy subjects. Radiomics modeling was applied to analyze all the MRI images in the periaqueductal gray region. The dataset was randomized, and oversampling was used if there was class imbalance between groups. The optimal algorithm-based feature selection method was employed to select the most important 5-10 features to differentiate between the two groups. The classification performance of AI algorithms was evaluated using receiver operating characteristic analysis to calculate the area under the curve, classification accuracy, sensitivity, and specificity values. Participants were required to have a confirmed diagnosis of either episodic migraine, probable migraine, or chronic migraine. Patients with aura, those who used migraine-preventive medication within the past six months, or had chronic illnesses, psychiatric disorders, cerebrovascular conditions, neoplastic diseases, or other headache types were excluded from the study. Additionally, 102 healthy subjects who met the inclusion and exclusion criteria were included.&nbsp;</p>. <p>The algorithm-based information gain method for feature reduction had the best performance among all methods, with the first-order, gray-level size zone matrix, and gray-level co-occurrence matrix classes being the dominant feature classes. The machine learning model correctly classified 82.4% of migraine patients from healthy subjects. Within the migraine group, 74.1% of the episodic migraine-probable migraine patients and 90.5% of the chronic migraine patients were accurately classified. No significant difference was found between probable migraine and episodic migraine patients in terms of the periaqueductal gray region radiomics features. The kNN algorithm showed the best performance for classifying episodic migraine-probable migraine subtypes, while the Random Forest algorithm demonstrated the best performance for classifying the migraine group and chronic migraine subtype.</p>. <p>A radiomics-based machine learning model, utilizing standard MR images obtained during the diagnosis and follow-up of migraine patients, shows promise not only in aiding migraine diagnosis and classification for clinical approach, but also in understanding the neurological mechanisms underlying migraines.&nbsp;</p>.

Migraine-like headache in subjects with isolated Lambl’s excrescences: a case series and literature review

Aim Lambl’s excrescences are mobile, thin, fibrinous connective tissue strands typically found on left-sided cardiac values. Migraine is positively associated with structural cardiac anomalies. However, it remains unclear whether Lambl’s excrescences are associated with migraine. Methods Retrospective review of 182 inpatients with Lambl’s excrescences confirmed by transesophageal echocardiogram in Chinese PLA General Hospital since January 2010. Among them, those with isolated Lambl’s excrescences presented with migraine-like headache were included. We collected information on the demographics and clinical profiles of all participants, and performed follow-up visits. Results A total of 8 patients presented with migraine-like headache among 15 patients with isolated Lambl’s excrescences. They included 2 men and 6 women, with an average age of 44.63 ± 12.24 years. Among these patients, 3 had visual aura, and 6 manifested infarct-like lesions on magnetic resonance imaging, of which 2 developed lesions after first visit. During follow-up, 4 patients suffering from intervention for Lambl’s excrescences dramatically reduced headache recurrence compared to the other 4 patients only receiving migraine preventive medications. Conclusions This study supports the hypothesis that microemboli from isolated Lambl’s excrescences could cause migraine-like headache. And intervention for Lambl’s excrescences may be crucial for preventing headache recurrence.