Literature DB >> 30903536

Comparison of Amsel criteria, Nugent score, culture and two CE-IVD marked quantitative real-time PCRs with microbiota analysis for the diagnosis of bacterial vaginosis.

Ellen H A van den Munckhof1, Rosalie L van Sitter2, Kim E Boers2, Ronald F Lamont3,4, René Te Witt5, Saskia le Cessie6,7, Cornelis W Knetsch8, Leen-Jan van Doorn8, Wim G V Quint8, Anco Molijn8, Maurine A Leverstein-van Hall5,9,10.   

Abstract

Bacterial vaginosis (BV) is a common gynaecological condition. Diagnosis of BV is typically based on Amsel criteria, Nugent score and/or bacterial culture. In this study, these conventional methods and two CE-IVD marked quantitative real-time (q)PCR assays were compared with microbiota analysis for the diagnosis of BV. Eighty women were evaluated for BV during two sequential hospital visits by Amsel criteria, Nugent score, culture, the AmpliSens® Florocenosis/Bacterial vaginosis-FRT PCR kit (InterLabService, Moscow, Russia), and the BD MAX™ Vaginal Panel (BD Diagnostics, MD, USA). Microbiota analysis based on amplicon sequencing of the 16S ribosomal RNA gene was used as reference test. The microbiota profile of 36/115 (31%) included cases was associated with BV. Based on microbiota analysis, the sensitivity of detecting BV was 38.9% for culture, 61.15% for Amsel criteria, 63.9% for Nugent score and the BD MAX assay, and 80.6% for the AmpliSens assay, while the specificity of all methods was ≥ 92.4%. Microbiota profiles of the cases with discrepant results between microbiota analysis and the diagnostic methods were variable. All five diagnostic methods missed BV positive cases with a relatively high abundance of the genus Alloscardovia, Bifidobacterium, or Dialister, which were categorised as unspecified dysbiosis by the AmpliSens assay. Compared to Amsel criteria, Nugent score, culture, and the BD MAX assay, the AmpliSens assay was most in agreement with microbiota analysis, indicating that currently, the AmpliSens assay may be the best diagnostic method available to diagnose BV in a routine clinical setting.

Entities:  

Keywords:  Amsel criteria; Bacterial vaginosis; Culture; Diagnostics; Microbiota analysis; Nugent score; Quantitative real-time PCR

Mesh:

Substances:

Year:  2019        PMID: 30903536     DOI: 10.1007/s10096-019-03538-7

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  7 in total

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2.  Bacterial vaginosis-associated vaginal microbiota is an age-independent risk factor for Chlamydia trachomatis, Mycoplasma genitalium and Trichomonas vaginalis infections in low-risk women, St. Petersburg, Russia.

Authors:  Elena Shipitsyna; Tatiana Khusnutdinova; Olga Budilovskaya; Anna Krysanova; Kira Shalepo; Alevtina Savicheva; Magnus Unemo
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Review 3.  Live Bacteria Supplementation as Probiotic for Managing Fishy, Odorous Vaginal Discharge Disease of Bacterial Vaginosis: An Alternative Treatment Option?

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4.  Mixed Vaginitis in the Third Trimester of Pregnancy Is Associated With Adverse Pregnancy Outcomes: A Cross-Sectional Study.

Authors:  Huanrong Li; Mengting Dong; Wenjuan Xie; Wenhui Qi; Fei Teng; Huiyang Li; Ye Yan; Chen Wang; Cha Han; Fengxia Xue
Journal:  Front Cell Infect Microbiol       Date:  2022-03-28       Impact factor: 5.293

5.  Nanophotonic Sialidase Immunoassay for Bacterial Vaginosis Diagnosis.

Authors:  Cynthia Rodríguez-Nava; Karen Cortés-Sarabia; Mariana D Avila-Huerta; Edwin J Ortiz-Riaño; Ana K Estrada-Moreno; Luz Del C Alarcón-Romero; Olga Mata-Ruíz; Yolanda Medina-Flores; Amalia Vences-Velázquez; Eden Morales-Narváez
Journal:  ACS Pharmacol Transl Sci       Date:  2021-01-26

6.  The vaginal microbiota in the course of bacterial vaginosis treatment.

Authors:  Romy D Zwittink; Ellen H A van den Munckhof; Maurine A Leverstein-van Hall; Kim Boers; Anco Molijn; Cornelis W Knetsch; Ed J Kuijper
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2020-10-07       Impact factor: 3.267

7.  MinION, a portable long-read sequencer, enables rapid vaginal microbiota analysis in a clinical setting.

Authors:  Shinnosuke Komiya; Yoshiyuki Matsuo; So Nakagawa; Yoshiharu Morimoto; Kirill Kryukov; Hidetaka Okada; Kiichi Hirota
Journal:  BMC Med Genomics       Date:  2022-03-25       Impact factor: 3.063

  7 in total

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