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Title: | Retrospective Analysis of Menstrual-Ovarian Function Disorders in Women with COVID-19 |
Authors: | N.Z. Yuldasheva |
Keywords: | COVID-19, menstrual cycle, ovarian function, retrospective analysis of menstrual-ovarian function disorders |
Issue Date: | 2023 |
Publisher: | Ташкент, Узбекистан |
Abstract: | Background. Disorders of menstrual-ovarian function in women with COVID-19 are an urgent problem since they can lead to further diseases of the reproductive system and complications of pregnancy. This study aims to conduct a retrospective analysis of menstrual-ovarian function disorders in women who have had COVID-19. Materials. A retrospective analysis of the medical records of 100 women who were hospitalized with a diagnosis of COVID-19 in the period from January 2020 to January 2021 with menstrual-ovarian function disorders was carried out. Of these, 65 women (65%) were aged from 18 to 30 years, 25 women (25%) - from 31 to 35 years and 10 women (10%) from 36 to 40 years. The average age of the women in the study was 28±0.4 years. Conclusion. A retrospective analysis of menstrual-ovarian function disorders in women with COVID-19 confirms the potential impact of coronavirus on menstrual-ovarian function. The following types of menstrual-ovarian function disorders were identified in the women included in the study: amenorrhea in 17%, oligomenorrhea in -21%, dysmenorrhea in 17% and abnormal uterine bleeding in 45% of patients. The average duration of violations was 3.8 months. The results of a retrospective analysis showed that women who have had COVID-19 have a high risk of developing menstrual-ovarian func- tion disorders. A more severe and prolonged COVID-19 disease increases this risk by 2.5 times. |
URI: | http://repository.tma.uz/xmlui/handle/1/8297 |
Appears in Collections: | Thesis, Articles |
Files in This Item:
File | Description | Size | Format | |
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457-Article Text-1223-1-10-20230529.pdf | Retrospective Analysis of Menstrual-Ovarian Function Disorders in Women with COVID-19 | 429.69 kB | Adobe PDF | View/Open |
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