Epidemiological and mycological characteristics of candidemia in Iran

A. Vaezi, Hamed Fakhim, S. Khodavaisy, A. Alizadeh, M. Nazeri, A. Soleimani, T. Boekhout, H. Badali

Research output: Contribution to journal/periodicalArticleScientificpeer-review

Abstract

To date, there has been no comprehensive review of the epidemiology, risk factors, species distribution, and outcomes of candidemia in Iran. This study aimed to perform a systematic review and meta-analysis of all reported candidemia cases in Iran until December 2015. The review process occurred in three steps, namely a literature search, data extraction and statistical analyses. After a comprehensive literature search, we identified 55 cases. The mean age of patients was 46.80±24.30 years (range 1–81 years). The main risk factors for candidemia were surgery and burns (23.6%), followed by malignancies (20%), use of broad-spectrum antibiotics (18.2%), and diabetes (7.3%). Candida parapsilosis (n=17, 30.8%) was the leading agent, followed by Candida albicans (n=15, 27.3%), Candida glabrata (n=10, 18.2%), and Candida tropicalis (n=8, 14.5%). The frequencies of candidemia cases due to C. glabrata, C. parapsilosis, and C. albicans were significantly higher among patients aged>60, 21–40, and 41–60 years, respectively. Comparison of risk factors for candidemia by multiple logistic regression showed that one of the most important risk factors was surgery (OR: 4.245; 95% CI: 1.141–15.789; P=0.031). The outcome was recorded in only 19 cases and 13 of those patients (68.4%) expired. This study confirms that knowledge of the local epidemiology is important when conducting surveillance studies to prevent and control candidemia and will be of interest for antifungal stewardship.
Original languageEnglish
Pages (from-to)146-152
Number of pages7
JournalJournal de Mycologie Médicale
Volume27
Issue number2
DOIs
Publication statusPublished - 2017

Fingerprint

Dive into the research topics of 'Epidemiological and mycological characteristics of candidemia in Iran'. Together they form a unique fingerprint.

Cite this