The journal of headache and pain
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The term "aura" refers to a well-defined pattern of usually positive, progressive, and reversible neurological symptoms, with spreading depolarization as the underlying mechanism. While commonly associated with migraine, aura can also occur in other neurological disorders (i.e., cerebrovascular disorders). However, current terminology inadequately describes its different underlying clinical etiologies. ⋯ This nuanced classification aims to aid in the diagnostic evaluation and phenotyping of aura phenomenon, ultimately improving the diagnosis and management of the different associated neurological conditions. Moreover, it could promote effective communication and translational mechanistic research.
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In our previous study, we demonstrated that headaches are highly prevalent among medical students in Vietnam. In the present study, we provide estimates of the associated symptom burden and impaired participation, utilizing these estimates to assess headache-related healthcare needs within this population. ⋯ This first study on headache burden in Vietnam reveals substantial symptom burden alongside a correspondingly high level of impaired participation among medical students.
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Migraine is the most common complex neurological disorder, affecting over a billion people worldwide. Neurogenic inflammation has long been recognized as a key factor in the pathophysiology of migraine though little research has been directed to investigating whether inflammation is greatest in migraine with aura or without, and whether inflammation is a permanent state in migraine or whether is an event related transitory state. Thus, the primary aim of this single-centre, retrospective study was to explore the potential clinical utility of the Serial Systemic Immune-Inflammatory Indices (SSIIi) as a comparative measure of duration and severity of inflammation derived from routine blood cell counts in migraine patients with aura and no-aura both within an acute inpatient setting and as outpatients. Specifically, we assessed the role of two serial white blood cell counts to calculate the SSIIi using the formula: neutrophil count x platelet count/lymphocyte count) between aura and no-aura migraine patients at time of admission to a tertiary care centre in Melbourne, Australia, and following 24 h post admission versus comparable serial measures in 20 out patients with migraine and ongoing symptoms. ⋯ SSIIi levels were significantly lower in patients with migraine with aura (MA), compared to MO. MA showed a greater, though non-significant, decrease between the two measurements compared to those with migraine without aura (MO) and outpatient controls, whose SSIIi levels remained consistently higher. The control group displayed similar findings to MO inpatients, suggesting persistent systemic inflammation in a subset of migraine patients regardless of in patient or outpatient of presentation and highlighting the need for future studies to more rigorously evaluate the role of systemic inflammation in migraine pathophysiology, chronicity, and progression though the multiple phases of migraine including the interictal phase.
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Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting. ⋯ When validated using follow-up data, which was not included during model training, the model achieved 91%, 94%, 89% accuracies and 0.96, 0.94, 0.98 AUC for the total, interictal, and ictal/peri-ictal phases, respectively, confirming its robustness. Feature importance and clinical association analyses exhibited that the somatomotor, limbic, and default mode regions could be reliable markers of migraine. Our findings, which demonstrate a robust diagnostic performance using multimodal MRI features and a machine-learning framework, may offer a valuable approach for clinical diagnosis across diverse cohorts and help alleviate the decision-making burden for clinicians.
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Diagnosing headache disorders poses significant challenges, particularly in primary and secondary levels of care (PSLC), potentially leading to misdiagnosis and underdiagnosis. This study evaluates diagnostic agreement for migraine, tension-type headache (TTH), and cluster headache (CH) between PSLC and tertiary care (TLC) and assesses adherence to the International Classification of Headache Disorders 3rd edition (ICHD-3) guidelines. ⋯ Our findings indicate a significant degree of diagnostic agreement across different levels of care according to the ICHD-3 guidelines. However, there remains insufficient reliability in clinical diagnostics, highlighting the need for continued efforts to improve the early recognition and diagnostic accuracy and consistency of primary headaches to optimize patient care and treatment outcomes in Germany.