Revista de neurologia · 2025
[Influence of Clinical and Demographic Variables on the Characteristics of Migraine Attacks].
СтатьяНаблюдательное исследованиеАннотация на английскомПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Quintas Sonia, Sánchez Natalia Aranda, Gonzalez-Martinez Alicia, Campos Alba Vieira, Pagán Josué, Ayala José Luis, Galvez-Goicuría Javier, Sobrado Mónica, Vivancos José, Gago-Veiga Ana Beatriz
Аннотация
INTRODUCTION: Migraine diagnosis relies on clinical criteria that encompass various pain features and associated symptoms, which can vary widely across patients. The aim of this study was to analyze the potential association between sociodemographic factors and the characteristics of migraine attacks.
METHODS: We conducted an observational longitudinal study with prospective and real-time data collection using a custom-designed smartphone application. Clinical features and accompanying symptoms of each attack were recorded.
RESULTS: A total of 377 migraine attacks from 51 patients were analyzed. Headache intensity was higher in women (p = 0.038), in those with lower cognitive reserve (p = 0.049), and in patients with higher Headache Impact Test-6 (HIT-6) scores (p = 0.020). Hemicranial pain was more common in patients with a longer disease duration (p = 0.028) and female sex was associated with a higher frequency of nausea (p = 0.034).
CONCLUSIONS: Prospective and real-time recording of migraine attacks provides added value by more accurately capturing their clinical variability. Our findings suggest that sociodemographic variables influence attack characteristics, supporting the need for more personalized therapeutic approaches.
METHODS: We conducted an observational longitudinal study with prospective and real-time data collection using a custom-designed smartphone application. Clinical features and accompanying symptoms of each attack were recorded.
RESULTS: A total of 377 migraine attacks from 51 patients were analyzed. Headache intensity was higher in women (p = 0.038), in those with lower cognitive reserve (p = 0.049), and in patients with higher Headache Impact Test-6 (HIT-6) scores (p = 0.020). Hemicranial pain was more common in patients with a longer disease duration (p = 0.028) and female sex was associated with a higher frequency of nausea (p = 0.034).
CONCLUSIONS: Prospective and real-time recording of migraine attacks provides added value by more accurately capturing their clinical variability. Our findings suggest that sociodemographic variables influence attack characteristics, supporting the need for more personalized therapeutic approaches.