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

{"title":"Revolutionizing chronic endometritis diagnosis: real-time polymerase chain reaction unveils microbial pathogens in Indian women with abnormal bleeding and reproductive challenges","authors":"","doi":"10.1016/j.xagr.2024.100377","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Study Design</h3><p>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.</p></div><div><h3>Results</h3><p>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 <em>Enterococcus faecalis</em> (<em>E. faecalis</em>) (19%), <em>Escherichia coli</em> (<em>E. coli</em>) (6.8%), <em>Staphylococcus aureus</em> (<em>S. aureus</em>) (9%), <em>Mycoplasma hominis</em> (5%), <em>Mycoplasma genitalium</em> (6.2%), <em>Streptococcus agalactiae</em> (<em>S. agalactiae</em>) (4.2%), <em>Ureaplasma urealyticum</em> (4%), nontuberculous <em>Mycobacterium</em> (5.2%), <em>Mycobacterium tuberculosis</em> (1.2%), <em>Neisseria gonorrhoeae</em> (0.6%), and <em>Chlamydia trachomatis</em> (2.4%). Standard culture methods identified <em>E. faecalis</em> (10.8%), <em>S. aureus</em> (6.2%), <em>E. coli</em> (3.8%), and <em>S. agalactiae</em> (2.2%).</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":72141,"journal":{"name":"AJOG global reports","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666577824000716/pdfft?md5=2570037d6c2f5734f5463577dcf2222f&pid=1-s2.0-S2666577824000716-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJOG global reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666577824000716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
"革命性的慢性子宫内膜炎诊断:实时 PCR 揭示了印度妇女异常出血和生殖难题中的微生物病原体"
背景本研究旨在评估实时聚合酶链反应(PCR)针对11种流行病原体诊断慢性子宫内膜炎(CE)的实用性,并将结果与传统的培养诊断进行比较。结果 在我们的研究中,PCR 检测出 318 例(63.6%)患者对 11 种病原体中的至少一种呈阳性,而培养法检测出 115 例(23%)患者对 11 种病原体中的至少一种呈阳性。PCR 检测到的主要病原体包括粪肠球菌(E. faecalis)(19%)、大肠杆菌(E. coli)(6.8%)、金黄色葡萄球菌(S. aureus)(9%)、人型支原体(Mycoplasma hominis)(5%)、生殖器支原体(Mycoplasma genitalium)(6.2%)、无乳链球菌(S. agalactiae)(4.2%)、尿解支原体(Ureaplasma urealyticum)(4%)、非结核分枝杆菌(5.2%)、结核分枝杆菌(1.2%)、淋病奈瑟菌(0.6%)和沙眼衣原体(2.4%)。结论 DICE 面板证明其是一种快速、精确且经济高效的诊断工具,可用于检测 CE 中可培养和不可培养的子宫内膜病原体。分子方法优于微生物培养,可确保准确、灵敏地检测出 CE 相关病原体,并与组织学和宫腔镜检查结果完美协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
AJOG global reports
AJOG global reports Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Perinatology, Pediatrics and Child Health, Urology
CiteScore
1.20
自引率
0.00%
发文量
0
期刊最新文献
Acute Sheehan syndrome following massive postpartum hemorrhage due to vulvar hematoma The role of the RHOA/ROCK pathway in the regulation of myometrial stages throughout pregnancy Thoughts and opinions about fertility preservation and family building from the transgender community—an interview-based approach Guillain-Barré syndrome in pregnancy: a case report and review of the literature Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohort
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1