Revolutionizing chronic endometritis diagnosis: real-time polymerase chain reaction unveils microbial pathogens in Indian women with abnormal bleeding and reproductive challenges

革新慢性子宫内膜炎诊断:实时聚合酶链式反应揭示印度异常出血和生殖障碍女性体内的微生物病原体

阅读:1

Abstract

BACKGROUND: This study aimed to assess the utility of real-time-polymerase chain reaction (PCR) for diagnosing chronic endometritis (CE) by targeting 11 prevalent pathogens and to compare the outcomes with conventional culture-based diagnosis. STUDY DESIGN: A retrospective analysis was conducted on 500 patients with clinical conditions such as abnormal bleeding, in vitro fertilization failure, recurrent implantation failure, recurrent miscarriage, and recurrent pregnancy loss. The prevalence of 11 key pathogens associated with CE was evaluated in endometrial biopsy samples. RESULTS: In our study, PCR identified 318 cases (63.6%) positive for at least one of the 11 investigated pathogens, while culture-based methods detected 115 cases (23%). Predominant pathogens detected by PCR included Enterococcus faecalis (E. faecalis) (19%), Escherichia coli (E. coli) (6.8%), Staphylococcus aureus (S. aureus) (9%), Mycoplasma hominis (5%), Mycoplasma genitalium (6.2%), Streptococcus agalactiae (S. agalactiae) (4.2%), Ureaplasma urealyticum (4%), nontuberculous Mycobacterium (5.2%), Mycobacterium tuberculosis (1.2%), Neisseria gonorrhoeae (0.6%), and Chlamydia trachomatis (2.4%). Standard culture methods identified E. faecalis (10.8%), S. aureus (6.2%), E. coli (3.8%), and S. agalactiae (2.2%). CONCLUSION: The DICE panel proves itself as a swift, precise, and cost-effective diagnostic tool for detecting both culturable and nonculturable endometrial pathogens in CE. Demonstrating superiority, the Molecular method outshines microbial culture, ensuring accurate and sensitive detection of CE-associated pathogens, harmonizing seamlessly with histology and hysteroscopy findings.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。