Global prevalence and subgroup analyses of coronavirus disease (COVID-19) associated Candida auris infections (CACa): A systematic review and meta-analysis.

BACKGROUND: Increased hospitalisation rates in the Coronavirus disease 19 (COVID-19) era lead to a new wave of hospital-acquired infections such as emerging multidrug-resistant Candida auris. We aimed to evaluate and estimate the global prevalence of coronavirus-associated C. auris infection (CACa). METHODS: We searched related databases between December 2019 and April 2022 for studies that reported data about CACa. Meta-analysis was performed using MedCalc software version 20.104 according to the DerSimonian and Laird method applying the random-effects model. We evaluated heterogeneity using the χ2 -based Q statistic (significant for p-value < .1) and the I2 statistic (>75% indicative of 'notable' heterogeneity). Moreover, if possible, an odds ratio (OR) analysis was performed for eligible data. RESULTS: Our meta-analysis includes ten eligible studies, including 1942 patients hospitalised with COVID-19; 129 were C. auris cases. The overall pooled prevalence of CACa was estimated at 5.7%. The mortality rate of CACa was estimated at 67.849%. Hypertension was the most prevalent comorbidity (59.374%), followed by diabetes mellitus (52.898%) and cardiovascular diseases (31.392%). Men with a prevalence rate of 80.012% were 3.27 (OR) times more prone to getting infected by C. auris. CONCLUSION: We concluded that the prevalence of C. auris infections decreased during the COVID-19 pandemic and the prevalence gradient changed from Asia to America. Unfortunately, there are many descriptive studies with duplicate content in the field of epidemiology of C. auris infections which are increasing every day. We suggest further non-descriptive studies to accurately establish the cause-and-effect relationships between C. auris and COVID-19 infections.

Confirmation of fifth Candida auris clade by whole genome sequencing.

Candida auris has emerged globally as a multidrug-resistant pathogen causing outbreaks in health care facilities. Whole genome sequencing (WGS) analysis has identified four major clades, while earlier WGS data from a single Iranian isolate suggested the existence of a potential fifth clade. Here, we confirm the existence of this fifth clade by providing WGS data of another four Iranian isolates. These clade V isolates differed less than 100 single-nucleotide polymorphisms (SNPs) between each other, while they were separated from the other clades by more than 200,000 SNPs. Two of these isolates were resistant to fluconazole and were found to harbour mutations in the TAC1b and ERG11 genes.