Dahshan, Ahmed

Background Caffeine plays a dual role in headache disorders, acting as an analgesic adjuvant while potentially contributing to headache chronification. Its relationship with medication-overuse headache (MOH) and the severity of analgesic dependence remains insufficiently characterized. The study aimed to compare MOH and non-MOH patients in terms of headache burden, psychological characteristics, and caffeine use, and secondarily to assess whether caffeine use disorder is associated with severity of dependence on analgesics in MOH. Methods This is a cross-sectional study conducted on adults with primary headache disorders. Participants were asked to complete the following validated questionnaires: caffeine food frequency (C-FFQ), caffeine use disorder (CUDQ), headache impact test-6 (HIT-6), Severity of Dependence Scale (SDS). Depression Anxiety Stress Scales–12 (DASS-12), and Substance Use Risk Profile Scale (SURPS). Headache diaries were reviewed to document monthly headache days (MHD) and acute medication days (AMD); subsequently, patients were divided into MOH or non-MOH groups, according to ICHD-3 criteria. Results Among 482 patients with primary headache disorders, 160 (33.2%) fulfilled ICHD-3 criteria for MOH. Patients with MOH had significantly higher MHD, AMD, HIT-6 scores, DASS-12 and SURPS total scores than those with non-MOH (all p < 0.001). Heavy caffeine consumption was more prevalent in MOH patients (23.8% vs. 9.3%), who also demonstrated higher CUDQ scores (median 10 vs. 7, p < 0.001). CUDQ scores correlated positively with MHD, AMD, HIT-6, DASS-12, and SURPS (all p < 0.001). Among patients with MOH, SDS scores correlated with MHD, AMD, HIT-6, DASS-12, SURPS, and CUDQ scores (all p < 0.05). Multivariable regression analysis revealed that AMD, HIT-6 score, and CUDQ score were independently associated with SDS scores ( p -value = 0.002, 0.046, 0.002, respectively). Conclusion Patients with MOH had significantly greater headache burden, psychological distress, and caffeine consumption compared with those without MOH. Caffeine use disorder is significantly associated with greater severity of analgesic dependence in patients with MOH. These findings highlight the importance of assessing caffeine-related behaviors when evaluating patients with MOH and suggest that caffeine use disorder may represent a clinically relevant behavioral factor associated with medication dependence severity.

Background Despite consistent epidemiological evidence identifying smoking as a risk factor for medication-overuse headache (MOH), the mechanisms underlying this association remain incompletely elucidated. The aim of this work was to explore the relationship between the severity of analgesic dependence, headache-related disability, nicotine dependence, psychological distress, and addiction-related personality traits in patients with MOH. Methods This multicenter cross-sectional study was conducted on 442 patients with primary headache disorders. Participants underwent structured face-to-face interviews and were asked to fill out the following questionnaires: Headache Impact Test–6 (HIT-6), Severity of Dependence Scale (SDS), Depression Anxiety Stress Scales-12 (DASS-12), and Substance Use Risk Profile Scale (SURPS). Smoking status was documented for all participants. Current smokers were asked to complete Fagerström Test for Nicotine Dependence questionnaire (FTND). Results This study included 442 patients with primary headache disorders, of whom 150 had MOH and 292 did not. Patients with MOH (n = 150) reported significantly higher monthly headache days (MHD), acute medication days (AMD), HIT-6, DASS-12, and SURPS scores than those without MOH (n = 292) (all P-values < 0.001). Smoking prevalence and FTND scores were significantly higher among MOH patients than those without MOH (all P-values < 0.001). Smokers demonstrated higher MHD, AMD, prevalence of MOH, DASS-12, and SURPS scores than non-smokers (all P-values < 0.05). Among smokers, FTND correlated positively with MHD, AMD, HIT-6, DASS-12, and SURPS (all P-values < 0.001). In patients with MOH, SDS scores showed positive correlations with AMD, HIT-6, DASS-12, and SURPS (all P-values < 0.05). Conclusion Severity of dependence on analgesics in patients with MOH is strongly associated with headache burden, nicotine dependence, psychological distress, and addiction-related personality traits.

Background High-quality research studies on therapeutic approaches for migraine management in pediatrics are scarce. Therefore, we conducted a systematic review of current clinical practice guidelines for the diagnosis and management of migraine in children and adolescents to identify areas of consensus and disagreement, as well as critical gaps, paving the way for future updates and improvements. Methods We searched PubMed, WOS, and SCOPUS for guidelines published in the English language in the last 10 years focused on the diagnosis and management of migraine in children and adolescents. Results Following a systematic search, eight eligible guidelines were identified. These guidelines were authored by the American Academy of Neurology (AAN), the European Headache Federation/European Academy of Neurology (EHF/EAN), the International Headache Society (IHS), National Institute for Health and Care Excellence (NICE), the Danish Headache Society, and the German Migraine and Headache Society and the German Society of Neurology. There was a broad consensus on considering the International Classification of Headache Disorders-3rd edition as the diagnostic reference. As regards management, paracetamol and ibuprofen were considered first line in the acute management of migraine, with sumatriptan and zolmitriptan nasal sprays rated as second line. Injectable medications for acute management were overlooked in most guidelines. On the other hand, targeted age groups, dosing, and preventive treatment choices showed areas of variability. Various non-pharmacological measures gained attention in all guidelines. Notably, CGRP antagonists and non-invasive neuromodulation techniques were identified as major gaps. Conclusion The current systematic review highlights areas of agreement and disagreement between existing guidelines on the management of childhood and adolescent migraine and emphasizes the current gaps and opportunities, thus offering a solid foundation for future studies and guidelines.

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.