Bacterial vaginosis in pregnant women: A comparison of the Nugent Score with a multiplex PCR.

Bacterial Vaginosis Nugent score Polymerase Chain Reaction Vaginal Diseases Vaginal Health pregnancy

Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
13 Jun 2024
Historique:
received: 05 04 2024
revised: 11 06 2024
accepted: 11 06 2024
medline: 22 6 2024
pubmed: 22 6 2024
entrez: 22 6 2024
Statut: aheadofprint

Résumé

We evaluated the Nugent score against a multiplex real-time PCR (reference) for diagnosing bacterial vaginosis (BV) in 140 pregnant women. The Nugent score had a sensitivity of 60 %, a specificity of 81 % and a negative predictive value of 92 % - therefore a tool to rule out BV in pregnant women.

Identifiants

pubmed: 38908040
pii: S0732-8893(24)00229-3
doi: 10.1016/j.diagmicrobio.2024.116403
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116403

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Tom Theiler (T)

Institute of Medical Microbiology, University Hospital Münster, Münster, Germany. Electronic address: Tom.Theiler@ukmuenster.de.

Sarah Schoeler (S)

Institute of Medical Microbiology, University Hospital Münster, Münster, Germany.

Mareike Möllers (M)

Department of Obstetrics and Gynecology, University Hospital Münster, Münster, Germany.

Franziska Schuler (F)

Institute of Medical Microbiology, University Hospital Münster, Münster, Germany.

Ioana D Olaru (ID)

Institute of Medical Microbiology, University Hospital Münster, Münster, Germany.

Frieder Schaumburg (F)

Institute of Medical Microbiology, University Hospital Münster, Münster, Germany.

Classifications MeSH