Journal of Headache and Pain最新文献

Background: Pre-cluster symptoms (PCSs) are symptoms preceding cluster bouts and might have implications for the treatment of cluster headache (CH). This study investigated the prevalence of PCSs, and their utility in predicting upcoming bouts as well as the associations with therapeutic efficacy.

Methods: We prospectively collected data from patients with CH. Each patient received a structured interview and completed questionnaire surveys during CH bouts. In sub-study 1, we cross-sectionally analyzed the prevalence, symptomatology, and predictability of upcoming bouts. Overall, 34 PCSs, divided into seven categories, were queried, including head and neck pain, cranial autonomic symptoms, restlessness, fatigue or mood changes, sleep alterations, constitutional symptoms, and generalized pain. In sub-study 2, we recorded the weekly frequency of CH attacks after the initiation of verapamil concurrently with a 14-day transitional therapy based on the patients' headache diary. A responder to verapamil was defined as a patient who have a reduction from baseline of at least 50% in the weekly frequency of CH attacks 4 weeks after the initiation of verapamil.

Results: A total of 168 CH patients (women/men: 39/129) completed the study. In sub-study 1, we found 149 (88.7%) experienced PCSs, with a median of 24 (IQR 18 to 72) hours before the bouts. Up to 57.7% of patients with PCS reported that they could predict upcoming bouts. Among the seven categories of PCSs, head and neck pain was the most common (81.0%) and was associated with a higher predictability of upcoming bouts (odds ratio [OR] = 4.0; 95% confidence interval [CI] 1.7-9.6). In sub-study 2, we found two categories of PCSs were associated with the response to verapamil: sleep alteration (OR = 2.5 [95% CI = 1.3-4.8], p = 0.004) and ≥ 1 cranial autonomic symptoms (OR = 2.7 [95% CI = 1.4-5.1], p = 0.003).

Conclusion: PCSs were very common in CH and could be used to predict upcoming bouts. Different symptom categories of PCSs may have different clinical implications.

Background: Headache disorders, including migraine, pose a significant burden globally, with varying prevalence rates across different regions. However, research on migraine in Nigeria and other low-income countries is limited. Understanding the prevalence, characteristics, and treatment outcomes of migraine in Nigeria is essential for informing healthcare policies and improving patient care.

Methods: This systematic review and meta-analysis aimed to synthesize existing literature on migraine prevalence, characteristics, and treatment outcomes in Nigeria. Eligible studies were identified through comprehensive searches of multiple electronic databases and grey literature sources. Studies reporting migraine prevalence, diagnostic criteria, treatment modalities, and outcomes were included. Data extraction and quality assessment were performed following established guidelines.

Results: Ten studies involving 7,768 participants met the inclusion criteria and were included in the meta-analysis. The pooled prevalence of migraine headache in Nigeria was calculated to be 16% (95% CI = 7-28), with significant heterogeneity observed among studies (I² = 99.35%, P < 0.001). Subgroup analysis revealed a higher prevalence of migraine among women compared to men. Common triggers for migraine included physical activity, sleep deprivation, mental and physical fatigue, and emotional stress. Treatment modalities varied, with simple analgesics, NSAIDs, ergotamine derivatives, and amitriptyline being commonly used. However, many participants reported inadequate pain relief or significant side effects, highlighting the need for improved management strategies.

Conclusion: The findings of this systematic review and meta-analysis underscore the significant burden of migraine in Nigeria and the need for improved healthcare policies and interventions. Addressing gaps in access to specialized care and implementing more effective treatment regimens could help alleviate the burden of migraine on individuals and healthcare systems in Nigeria. Further research is needed to standardize diagnostic criteria and methodologies and provide more reliable prevalence estimates.

Purpose: This study aimed to comprehensively assess the safety of rimegepant administration in real-world clinical settings.

Methods: Data from the Food and Drug Administration Adverse Event Reporting System (FAERS) spanning the second quarter of 2020 through the first quarter of 2023 were retrospectively analyzed in this pharmacovigilance investigation. This study focuses on employing subgroup analysis to monitor rimegepant drug safety. Descriptive analysis was employed to examine clinical characteristics and concomitant medication of adverse event reports associated with rimegepant, including report season, reporter country, sex, age, weight, dose, and frequency, onset time, et al. Correlation analysis, including techniques such as violin plots, was utilized to explore relationships between clinical characteristics in greater detail. Additionally, four disproportionality analysis methods were applied to assess adverse event signals associated with rimegepant.

Results: A total of 5,416,969 adverse event reports extracted from the FAERS database, 10, 194 adverse events were identified as the "primary suspect" (PS) drug attributed to rimegepant. Rimegepant-associated adverse events involved 27 System Organ Classes (SOCs), and the significant SOC meeting all four detection criteria was "general disorders and administration site conditions" (SOC: 10018065). Additionally, new significant adverse events were discovered, including "vomiting projectile" (PT: 10047708), "eructation" (PT: 10015137), "motion sickness" (PT: 10027990), "feeling drunk" (PT: 10016330), "reaction to food additive" (PT: 10037977), etc. Descriptive analysis indicated that the majority of reporters were consumers (88.1%), with most reports involving female patients. Significant differences were observed between female and male patients across age categories, and the concomitant use of rimegepant with other medications was complex.

Conclusion: This study has preliminarily identified potential new adverse events associated with rimegepant, such as those involving the gastrointestinal system, nervous system, and immune system, which warrant further research to determine their exact mechanisms and risk factors. Additionally, significant differences in rimegepant-related adverse events were observed across different age groups and sexes, and the complexity of concomitant medication use should be given special attention in clinical practice.

Background: Controversy exists whether prophylactic drugs are necessary in the treatment of medication overuse headache (MOH).

Objectives: To determine comparative benefits and safety of available drugs for the treatment of MOH including elimination of medication overuse (MO).

Methods: We systematically reviewed randomized controlled trials though an extensive literature search comparing different drug effects on MOH. A random-effect network meta-analysis was conducted to rank comparative effects of interventions. Outcome improvements from baseline include responder rate defined as ≥ 50% reduction of headache frequency, proportion of patients who revert to no acute medication overuse (nMO), and reduction in monthly headache and acute medication intake frequency. Certainty of evidence was classified using the Grading of Recommendations, Assessment, Development & Evaluation (GRADE).

Results: Of 8,248 screened publications, 28 were eligible for analysis. Topiramate was found to be beneficial based on its responder rate (odds ratios [OR] 4.93), headache frequency (weighted mean difference [WMD] -5.53) and acute medication intake frequency (WMD - 6.95), with fewer safety issues (i.e., tolerability, or more adverse events) than placebo (OR 0.20). Fremanezumab, galcanezumab and botulinum toxin type A (BTA) were beneficial for increased responder rates (OR 3.46 to 3.07, 2.95, and 2.57, respectively). For reversion to nMO, eptinezumab, fremanezumab and BTA were superior to placebo (OR 2.75 to 2.64, 1.87 to1.57, and 1.55, respectively). Eptinezumab, fremanezumab, erenumab 140 mg, and BTA were more efficacious than erenumab 70 mg (OR 3.84 to 3.70, 2.60 to 2.49, 2.44 and 2.16, respectively) without differences in safety and tolerability.

Conclusion: Despite lower safety and greater intolerability issues, topiramate has large beneficial effects probably on increasing responder rates, reducing headache frequency, and might reduce monthly medication intake frequency. Fremanezumab, galcanezumab, and eptinezumab are promising for increasing responder rates. For reversion to nMO, eptinezumab has large beneficial effects, fremanezumab has a smaller effect. BTA might have a moderate effect on responder rates and probably has a small effect on reversion to nMO.

Trial registration: PROSPERO, CRD42021193370.

Background: Migraine is a debilitating neurological disorder that presents significant management challenges, resulting in underdiagnosis and inappropriate treatments, leaving patients at risk of medication overuse (MO). MO contributes to disease progression and the development of medication overuse headache (MOH). Predicting which migraine patients are at risk of MO/MOH is crucial for effective management. Thus, this systematic review aims to review and critique available prediction models for MO/MOH in migraine patients.

Methods: A systematic search was conducted using Embase, Scopus, Medline/PubMed, ACM Digital Library, and IEEE databases from inception to April 22, 2024. The risk of bias was assessed using the prediction model risk of bias assessment tool.

Results: Out of 1,579 articles, six studies with nine models met the inclusion criteria. Three studies developed new prediction models, while the remaining validated existing scores. Most studies utilized cross-sectional and prospective data collection in specific headache settings and migraine types. The models included up to 53 predictors, with sample sizes from 17 to 1,419 participants. Traditional statistical models (logistic regression and least absolute shrinkage and selection operator regression) were used in two studies, while one utilized a machine learning (ML) technique (support vector machines). Receiver operating characteristic analysis was employed to validate existing scores. The area under the receiver operating characteristic (AUROC) for the ML model (0.83) outperformed the traditional statistical model (0.62) in internal validation. The AUROCs ranged from 0.84 to 0.85 for the validation of existing scores. Common predictors included age and gender; genetic data and questionnaire evaluations were also included. All studies demonstrated a high risk of bias in model construction and high concerns regarding applicability to participants.

Conclusion: This review identified promising results for MO/MOH prediction models in migraine patients, although the field remains limited. Future research should incorporate important risk factors, assess discrimination and calibration, and perform external validation. Further studies with robust designs, appropriate settings, high-quality and quantity data, and rigorous methodologies are necessary to advance this field.

Background: Patients with migraine are vulnerable to insufficient sleep, but the impact of sleep restriction is largely unknown. In addition, the importance of sleep may be different in patients with migraine who mostly have attack onsets during sleep, so called sleep-related migraine, compared to patients with non-sleep-related migraine. In this study we investigate the effect of sleep restriction on endogenous pain modulation in patients with migraine and healthy controls. We also compared the effect of sleep restriction in sleep-related and in non-sleep-related migraine.

Methods: Measurements were conducted in 39 patients with migraine between attacks and 31 controls, once after habitual sleep and once after two consecutive nights of partial sleep restriction. There were 29 and 10 patients with non-sleep-related and sleep-related migraine respectively. Test stimulus was 2-min tonic noxious heat to the left volar forearm. Temporal summation was calculated as the regression coefficient for rated pain in the late part of this 2-min stimulation. Conditioning stimulus was right hand-immersion in 7 °C water. Conditioned pain modulation was defined as the difference in rated pain with and without the conditioning stimulus and was calculated for temporal summation and mean rated pain for the test stimulus. The effect of sleep restriction on temporal summation and conditioned pain modulation was compared in migraine subjects and controls using two-level models with recordings nested in subjects.

Results: Conditioned pain modulation for temporal summation of heat pain tended to be reduced after sleep restriction in patients with migraine compared to controls (p = 0.060) and, in an exploratory analysis, was reduced more after sleep restriction in sleep-related than in non-sleep-related migraine (p = 0.017). No other differences between groups after sleep restriction were found for temporal summation or conditioned pain modulation.

Conclusion: Patients with migraine may have a subtly altered endogenous pain modulation system. Sleep restriction may have an increased pronociceptive effect on this system, suggesting a mechanism for vulnerability to insufficient sleep in migraine. This effect seems to be larger in sleep-related migraine than in non-sleep-related migraine.

Background: Migraine-related perfusion changes are documented but inconsistent across studies due to limited sample size and insufficient phenotyping. The phasic and spatial dynamics across migraine subtypes remains poorly characterized. This study aimed to determine spatiotemporal dynamics of gray matter (GM) perfusion in migraine.

Methods: We prospectively recruited episodic (EM) and chronic migraine (CM) patients, diagnosed with the International Headache Society criteria and healthy controls (HCs) between 2021 and 2023 from the headache center in a tertiary medical center, and adjacent communities. Magnetic resonance (3-tesla) arterial spin labeling (ASL) was conducted for whole brain cerebral blood flow (CBF) in all participants. The voxel-wise and whole brain gray matter (GM) CBF were compared between subgroups. Spatial pattern analysis of CBF and its correlations with headache frequency were investigated regarding different migraine phases and subtypes. Sex- and age-adjusted voxel-wise and whole brain GM comparisons were performed between HCs and different EM and CM phases. Spatial pattern analysis was conducted by CBF clusters with phasic differences and spin permutation test. Correlations between headache frequency and CBF were investigated regarding different EM and CM phases.

Results: Totally 344 subjects (172 EM, 120 CM, and 52 HCs) were enrolled. Higher CBF in different anatomical locations was identified in ictal EM and CM. The combined panels of the specific locations with altered CBF in ictal EM on receiver operating characteristic curve analysis demonstrated areas under curve of 0.780 (vs. HCs) and 0.811 (vs. preictal EM). The spatial distribution of ictal-interictal CBF alteration of EM and CM were not correlated with each other (p = 0.665; r = - 0.018). Positive correlations between headache frequency and CBF were noted in ictal EM and CM regarding whole GM and specific anatomical locations.

Conclusions: Patients with migraine exhibited unique spatiotemporal CBF dynamics across different phases and distinct between subtypes. The findings provide neurobiological insights into how selected anatomical structures engage in a migraine attack and adapt to plastic change of repeated attacks along with chronicity.

Background: Patients with migraine are typically advised to avoid passive smoking because it may aggravate headaches and other health conditions. However, there is insufficient high-quality evidence on the association between passive smoking and migraine, which warrants further investigation using animal models. Therefore, using a mouse model, we examined the effect of passive smoking on susceptibility to cortical spreading depolarization (CSD), the biological basis of migraine with aura.

Findings: Fifty C57BL/6 mice (25 males and 25 females) were exposed for one hour to cigarette smoke or room air. Subsequently, potassium chloride (KCl) was administered under isoflurane anesthesia to induce CSD, and the CSD threshold, frequency of induction, and propagation velocity were determined. The threshold to induce CSD (median [interquartile range (IQR)]) was significantly lower in female mice (adjusted p = 0.01) in the smoking group (0.05 [0.05, 0.088]) than in the sham group (0.125 [0.1, 0.15]); however, there was no significant difference in the male mice (adjusted p = 0.77). CSD frequency or propagation velocity did not differ significantly between the two groups for either sex.

Conclusions: Female mice in the smoking group showed lower CSD threshold compared to the sham group, suggesting a potential sex-specific difference in the effect of smoking on the pathogenesis of CSD and migraine with aura. This finding may contribute to the understanding of migraine pathophysiology in association with passive smoking and sex difference.

Background: Headache disorders are among the most prevalent neurological disorders worldwide. However, whether groups differing in socioeconomic position (SEP) are disproportionately affected by headache disorders has not yet been adequately clarified. Our aim was to analyse (1) the headache prevalence by socioeconomic position (SEP) and (2) the attack frequency by SEP in a German population-based adult sample.

Methods: Cross-sectional data from a random general population were used. The sample included N = 2,189 participants aged ≥ 18 years. SEP was measured using net equivalised income (NEI) and education. A binary logistic regression model tested the effect of SEP in predicting the prevalence of headache in general. Ordinal logistic regressions were modeled to predict the effect of SEP on the likelihood of attack frequency. Attack frequency was categorized in low frequency episodic headache (LFEH: 0-3 days per month), moderate frequency episodic headache (MFEH: 4-14 days per month) and chronic headache (CH: ≥ 15 days per month).

Results: Of the 2,189 participants, 891 reported headache in the last six months. Neither income nor education was associated with headache prevalence. However, significant differences between income groups were found for attack frequency. Compared to participants with NEI > 150%, those with NEI < 60% were 5.21 times more likely (95%CI 2.03, 13.36) to experience higher headache frequency, and those with NEI between 60 and 150% were 2.29 times more likely (95%CI 1.02, 5.11), with adjustments made for a set of potential confounders, including depressive symptoms.

Conclusions: To reduce headache attacks, it is essential to address both low- and middle-income groups affected by headaches. Universal public health prevention campaigns are particularly appropriate.

Background: Chronic migraine is closely related to the dysregulation of neurochemical substances in the brain, with metabolic imbalance being one of the proposed causes of chronic migraine. This study aims to evaluate the metabolic changes between energy metabolism and excitatory and inhibitory neurotransmitters in key brain regions of mice with chronic migraine-like state and to uncover the dysfunctional pathways of migraine.

Methods: A chronic migraine-like state mouse model was established by repeated administration of nitroglycerin (NTG). We used von Frey filaments to assess the mechanical thresholds of the hind paw and periorbital in wild-type and familial hemiplegic migraine type 2 mice. After the experiments, tissue was collected from five brain regions: the somatosensory cortex (SSP), hippocampus, thalamus (TH), hypothalamus, and the spinal trigeminal nucleus caudalis (TNC). Proton magnetic resonance spectroscopy (¹H-MRS) was employed to study the changes in brain metabolites associated with migraine, aiming to explore the mechanisms underlying metabolic imbalance in chronic migraine-like state.

Results: In NTG-induced chronic migraine-like state model, we observed a significant reduction in energy metabolism during central sensitization, an increase in excitatory neurotransmitters such as glutamate, and a tendency for inhibitory neurotransmitters like GABA to decrease. The TNC and thalamus were the most affected regions. Furthermore, the consistency of N-acetylaspartate levels highlighted the importance of the TNC-TH-SSP pathway in the ascending nociceptive transmission of migraine.

Conclusion: Abnormal energy metabolism and neurotransmitter imbalance in the brain region of NTG-induced chronic migraine-like state model are crucial mechanisms contributing to the chronicity of migraine.