1,364
Views
93
CrossRef citations to date
0
Altmetric
Review Article

The epidemiology, pathogenesis, and diagnosis of vulvovaginal candidosis: A mycological perspective

&
Pages 250-261 | Received 26 Aug 2010, Accepted 26 Mar 2011, Published online: 20 May 2011
 

Abstract

Vulvovaginal candidosis (VVC) is the second most common cause of vaginitis after bacterial vaginosis, and it is diagnosed in up to 40% of women with vaginal complaints in the primary care setting. Reliable diagnosis of VVC requires a correlation of clinical features with mycological evidence. The mycological methods used for diagnosis include microscopic examination, fungal culture, and antigen tests. Fungal culture can reveal the species of organism(s) responsible for the infection and provide epidemiological data. This report reviews current knowledge about the available diagnostic methods and tests that accurately diagnose VVC, and highlights the importance of fungal culture.

Acknowledgment

This study is dedicated to an outstanding obstetrician and gynecologist emeritus, Professor Nihat Arıdogan, who has the attitude and the substance of a genius and continually and convincingly conveyed a spirit of adventure in regard to research and an excitement in teaching for over 25 years in Çukurova University, Turkey.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and the writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 783.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.