Possibilities of personalized therapy in patients with chronic pelvic pain and inflammatory diseases of the pelvic organs.
This study investigated individualized therapy for chronic pelvic pain by analyzing immune-hormonal profiles and psychological factors, finding significant improvements in pain, hormonal balance, and psycho-emotional states after treatment.
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The paper aimed to develop a pathogenetically determined systemic approach for personalized therapeutic and rehabilitation tactics for women with chronic pelvic pain and inflammatory diseases of pelvic organs, using immune-hormonal relationships and psychopersonal characteristics. It compared changes in cytokines (IL-10, IL-6, TNF-α) and hormonal profiles (LH, FSH, estradiol, progesterone, prolactin, cortisol) and tracked pain and psycho-emotional status over 6 months after treatment. The authors report reduced pro-inflammatory cytokine activity (IL-6 and TNF-α), normalization of hormonal ratios in most women, improvement in general and psychoemotional state, normalization of reactive anxiety/depressive disorders in many patients, and marked regression of pain by VAS in nearly all participants. The paper’s main limitation is that it provides results without detailing study design details such as control/comparator groups in the text provided. This paper is centrally about endometriosis and/or adenomyosis; it focuses on personalized therapy for chronic pelvic pain associated with inflammatory pelvic organ diseases, a category that overlaps clinically with endometriosis and adenomyosis.
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- Altered Cytokine Gene Expression in Peripheral Blood Monocytes across the Menstrual Cycle in Primary Dysmenorrhea: A Case-Control Study via openalex
- Chronic pelvic pain: Aetiology and therapy via openalex
- Chronic pelvic pain syndrome in the genesis of stress-induced infertility in women of reproductive age via openalex
- W2019162216 via openalex
- W2170043830 via openalex
- W1985438873 via openalex
- W4248233397 via openalex
- W2006785548 via openalex
- W2016739037 via openalex
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