Chrome Extension
WeChat Mini Program
Use on ChatGLM

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

MYCOSES(2022)

Cited 31|Views5
No score
Abstract
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 chi(2)-based Q statistic (significant for p-value < .1) and the I-2 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.
More
Translated text
Key words
Candida auris, coronavirus disease 19 (COVID-19), COVID associated infections, prevalence, risk factors, SARS-CoV-2
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined