Schwedt, Todd J

We here present evidence-based guidelines for the pharmacological treatment of migraine. These guidelines, created by the Italian Society for the Study of Headache and the International Headache Society, aim to offer clear, actionable recommendations to healthcare professionals. They incorporate evidence-based recommendations from randomized controlled trials and expert-based opinions. The guidelines follow the Grading of Recommendations, Assessment, Development and Evaluation approach for assessing the quality of evidence. The guideline development involved a systematic review of literature across multiple databases, adherence to Cochrane review methods, and a structured framework for data extraction and interpretation. Although the guidelines provide a robust foundation for migraine treatment, they also highlight gaps in current research, such as the paucity of head-to-head drug comparisons and the need for long-term outcome studies. These guidelines serve as a resource to standardize migraine treatment and promote high-quality care across different healthcare settings.

Migraine is one of the most prevalent and disabling neurological diseases, significantly affecting quality of life and productivity, as well as contributing to substantial societal costs. Recent innovations, including calcitonin gene-related peptide (CGRP) pathway inhibitors and onabotulinumtoxinA, have transformed migraine prevention by offering high efficacy and excellent tolerability, thus improving adherence. Clinical trials and real-world studies show that significant reductions in migraine frequency and, in some cases, complete migraine freedom is achievable. In this Position Statement, we advocate for raising the standards of migraine prevention by setting ambitious treatment goals aimed at optimal outcomes, such as migraine freedom or very low number of days with migraine or moderate/severe headache. We emphasize the importance of addressing residual migraine burden, highlighting that achieving a ≥50% reduction in monthly migraine days, although often considered a successful response, may not fully restore quality of life. Relying solely on percentage-based improvements can obscure the persisting impact of residual burden. This Position Statement does not want to change the standards for clinical trials but aims primarily at real-world clinical practice and proposes a shift from percentage-based measures of success to absolute goals while on treatment. We outline a framework that categorizes outcomes into four tiers: migraine freedom (no days with migraine or moderate-to-severe headache), optimal control (less than four days with migraine or moderate-to-severe headache), modest control (four to six days with migraine or moderate-to-severe headache) and insufficient control (more than days with migraine or moderate-to-severe headache). Focusing on residual burden while on treatment aims to further improve patient quality of life and drive innovation in preventive therapies and non-pharmacological approaches. By advocating for higher standards, this Position Statement, is not aimed primarily to drive reimbursement policies for migraine preventive treatments, but seeks to inspire clinicians, researchers and policymakers to prioritize ambitious goals in migraine prevention, ultimately enhancing patient outcomes and reducing the broader societal and economic impact of this debilitating condition.

Background Traumatic brain injury (TBI) commonly elicits acute (APTH) and/or persistent (PPTH) post-traumatic headache. Calcitonin gene related peptide (CGRP) has been implicated as a contributor to PTH pathophysiology. We explored the possibility of sexual dimorphism in the effects of CGRP receptor (CGRP-R) blockade in a preclinical model of PTH induced by a mild TBI (mTBI) in male or female mice. Methods Mice were lightly anesthetized and placed on a tissue paper stage prior to receiving a sham procedure or mTBI resulting from a closed-head weight drop injury. Behavioral responses to periorbital and hindpaw tactile (von Frey filaments) or thermal (hot plate) stimuli over the first 14 days post-mTBI were evaluated as measures of APTH. The PPTH phase was studied following the resolution of mTBI-induced APTH at days 14 and 28. PPTH was precipitated by exposure to bright lights (i.e., bright light stress, BLS). Olcegepant was delivered subcutaneously either repeatedly beginning 2 h after mTBI to produce a sustained block of CGRP-R signaling across the APTH phase, or as a single administration on days 14 or 28 post-mTBI to evaluate possible effects during the PPTH phase. Results mTBI, but not sham-procedure, produced periorbital and hindpaw tactile allodynia, as well as thermal hypersensitivity in mice of both sexes. APTH-related hypersensitivity was transient and resolved by day 14 post-injury. No sex differences were observed in the magnitude or duration of APTH-related pain behaviors. Sustained CGRP-R blockade was, however, significantly more effective in female than male mice in inhibiting pain behaviors in the APTH phase and in preventing the emergence of BLS-induced PPTH. CGRP-R blockade following the resolution of mTBI-induced APTH pain behaviors, on either day 14 or 28, minimally altered BLS-induced PPTH in either sex. Conclusions Sustained CGRP-R blockade starting soon after mTBI significantly inhibited APTH and prevented the expression of PPTH with greater analgesic effects in females compared to males. Delayed CGRP-R blockade beginning after resolution of APTH phase was minimally effective in preventing expression of PPTH in either sex. These data are consistent with previous observations that CGRP induces pain behaviors preferentially in females. Early and continuous CGRP blockade following mTBI may represent a viable treatment option for PTH treatment and the prevention of PTH persistence, especially in females.

Background Women with endometriosis are more likely to have migraine. The mechanisms underlying this co-morbidity are unknown. Prolactin, a neurohormone secreted and released into circulation from the anterior pituitary, can sensitize sensory neurons from female, but not male, rodents, monkeys and human donors. Methods We used a syngeneic model of endometriosis to determine whether elevated prolactin levels can sensitize trigeminal ganglion neurons and increase vulnerability to migraine pain. Results Mice with endometriotic lesions showed increased serum prolactin levels and developed persistent abdominal, but not cephalic, allodynia. However, inhalation of a transient receptor potential ankyrin 1 agonist, umbellulone, a known environmental trigger of headache in some patients, elicited cephalic allodynia in mice with endometriosis but not sham controls, suggesting that endometriosis can promote sensitization of trigeminal neurons and migraine attacks. Endometriosis dysregulated the expression of prolactin receptor isoforms in trigeminal neurons and increased their excitability measured by in vitro patch clamp electrophysiology. Inhibition of pituitary prolactin following a 2-week treatment with a dopamine receptor agonist, cabergoline, prevented cephalic allodynia elicited by activation of trigeminal afferents with umbellulone. Cabergoline treatment also normalized the expression of prolactin receptor isoforms in trigeminal ganglia and the hyperexcitability of trigeminal neurons. Conclusions These data demonstrate that circulating prolactin in endometriosis promotes vulnerability to migraine through sensitization of trigeminal afferents. Clinically available dopamine receptor agonists or novel monoclonal antibodies targeting prolactin signaling may be effective for migraine prevention in women with endometriosis.

Background The term ‘precision medicine’ encompasses strategies to optimize diagnosis and outcome prediction and to tailor treatment for individual patients, in consideration of their unique characteristics. The greater availability of multifaceted datasets and strategies to model such data have made precision medicine increasingly possible in recent years. Precision medicine is especially needed in the migraine field since the response to migraine treatments is not universal amongst all individuals with migraine. Objective To provide a narrative review describing contributions to achieving precision medicine for migraine treatment. Methods A search of PubMed for English language articles of human participants published from 2005 to January 2024 was conducted to identify articles that reported research contributing to precision medicine for migraine treatment. The published literature was categorized and summarized according to the type of data that were included: clinical phenotypes, genomics, proteomics, physiologic measures, and brain imaging. Results Published studies have investigated characteristics associated with acute and preventive treatment responses, such as nonsteroidal anti-inflammatory drugs, triptans, onabotulinumtoxinA, and anti-calcitonin gene-related peptide monoclonal antibodies, in patients with episodic or chronic migraine. There is evidence that clinical, genetic, epigenetic, proteomic, physiologic, and brain imaging features might associate with migraine treatment outcomes, although inconsistencies for such findings clearly exist. Conclusions The published literature suggests that there are clinical and biological features which associate with, and might be useful for predicting, migraine treatment responses. To achieve precision medicine for migraine treatment, further research is needed that validates and expands on existing findings and tests the accuracy and value of migraine treatment prediction models in clinical settings.

Abstract Objective To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications. Background Currently, there is no accurate way to predict response to migraine preventive medications, and the standard trial‐and‐error approach is inefficient. Methods 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. Results 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. Conclusion 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.

Abstract Background 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. Objective 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. Methods 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. Results 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. Conclusions 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.