DIGITAL MONITORING AND EARLY PREDICTION OF CEPHALGIC SYNDROME IN WOMEN WITH PREMENSTRUAL SYNDROME

Premenstrual syndrome (PMS) is a group of cyclically occurring physical, emotional, and neurovegetative disturbances that significantly impair the quality of life of women of reproductive age. One of the common manifes­tations of PMS is cephalgic syndrome, characterized by headaches of varying intensity, duration, and frequency. The occurrence of headaches may be associated with cyclic hormonal fluctuations, disturbances in neurotransmitter ac­tivity, autonomic dysfunction, and individual sensitivity to painful stimuli. Modern digital technologies, including elec­tronic headache diaries, mobile applications, and automated analysis of clinical data, provide new opportunities for monitoring and predicting headache episodes.

Objective: To improve methods for the early prediction of cephalgic syndrome in women with premenstrual syndrome.

Materials and Methods: The study will have a prospective clinical and neurological design and will include women of reproductive age diagnosed with PMS who report recurrent headaches.

Expected Results: The study is expected to identify specific clinical and neurological characteristics of cephal­gic syndrome associated with PMS and establish correlations between headache intensity, menstrual cycle phases, sleep quality, psycho-emotional status, and neurovegetative parameters. Digital monitoring will help investigate in­dividual symptom dynamics, identify potential predictors of headaches, and develop an early prediction model. A comprehensive assessment of the collected data is expected to improve individualized patient management and facilitate the timely planning of preventive measures.

Conclusion: Digital monitoring of cephalgic syndrome in women with premenstrual syndrome represents a promising area of research and clinical practice.