Innovative approaches to the diagnosis of premenstrual syndrome: the role of the Telegram bot in clinical practice

Background: Premenstrual syndrome (PMS) is a common condition among women of reproductive age and is characterized by pronounced psychoemotional and somatic disturbances that significantly reduce quality of life. According to recent national reviews and clinical studies, PMS remains an underestimated cause of temporary disability and maladaptation, particularly in populations with high cognitive workloads. Pain syndromes – mastalgia, headache, abdominal pain, and musculoskeletal discomfort – represent the leading components of the PMS clinical picture and frequently coexist with emotional lability and sleep disturbances. Despite its high prevalence, PMS remains insufficiently recognized, and standardized tools for pain assessment and dynamic symptom monitoring are still lacking.

Objective: To evaluate the effectiveness of the PMS BOT Telegram-based system in the diagnosis, dynamic monitoring, and clinical assessment of PMS-related symptoms.

Materials and methods: The study included 158 women of reproductive age: 70 with clinical manifestations of PMS and 88 controls. The PMS BOT chatbot facilitated daily symptom reporting, assessment of pain intensity and psychoemotional disturbances, and the generation of individualized menstrual diaries. Additional diagnostic tools included the Visual Analog Scale (VAS), the PSST questionnaire, algometry, assessment of micronutrient status (B-vitamins, 25-OH vitamin D, ferritin), and measurement of stress-related hormones (cortisol, noradrenaline, adrenaline, serotonin, prolactin).

Results: The chatbot improved adherence (80 % active participation for ≥3 cycles) and provided standardized data collection. The most frequent PMS symptoms were emotional lability (97.1 %), insomnia (71.4 %), and muscle tension (61.4 %). The symptom period decreased from 9–10 to 6–8 days.

Conclusion: The PMS BOT Telegram chatbot is an effective and accessible digital tool for PMS diagnosis and monitoring, improving quality of care and supporting personalized approaches in gynecology.