Modern possibilities for the prevention of pelvic organ prolapse

Autor: Yu. A. Boldyreva, V. B. Tskhay, A. M. Polstyanoy, O. Yu. Polstyanaya
Jazyk: English<br />Russian
Rok vydání: 2022
Předmět:
Zdroj: Медицинский вестник Юга России, Vol 13, Iss 2, Pp 7-17 (2022)
Druh dokumentu: article
ISSN: 2219-8075
2618-7876
DOI: 10.21886/2219-8075-2022-13-2-7-17
Popis: In the practice of an obstetrician-gynecologist, the problem of pelvic organ prolapse is increasingly being raised. Symptoms of pelvic organ prolapse are noted from a young age, gradually progressing and reducing the patient’s quality of life. Various surgical methods of treatment also don’t solve the problem of prolapse. The recurrence rate after correction of prolapse with own tissues reaches 40%, and operations using mesh implants have a number of specific complications, the fight against which sometimes becomes more difficult than primary intervention. Despite the steady increase in the prevalence of the disease, effective methods of dealing with it have not yet been developed. Also, the tactics of managing patients at the initial stage of prolapse, when there are complaints, but they are not given enough attention, both by the doctor and the patient, are not defined. The main risk factors for the disease are: perineal ruptures during childbirth, episiotomy, menopause, repeated pregnancies and childbirth, polyhydramnios, multiple pregnancy, fetal macrosomia, conditions accompanied by a chronic increase in intraabdominal pressure, heavy physical labor, impaired innervation and circulation of the pelvic floor, genetic predisposition, hysterectomy and connective tissue dysplasia. The review is devoted to the causes and methods of prevention of pelvic organ prolapse at the present stage. Methods such as pelvic floor muscles training, including in the biofeedback mode using vaginal simulators, electrical impulse stimulation, high-intensity focused electromagnetic stimulation, and non-ablative Er:YAG laser therapy are considered. A systematic literature search was carried out using Scopus, web of Science, MedLine, PubMed and eLibrary data base system.
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