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Identification and in vitro susceptibility pattern of fungal pathogens in immunocompromised patients with invasive fungal infections

Research Abstract
Background
 
In intensive care units, invasive fungal infections have become more common, particularly among immunocompromised patients. Early identification and starting the treatment of those patients with antifungal therapy is critical for preventing unnecessary use of toxic antifungal agents.
Objective
 
The aim of this research is to determine which common fungi cause invasive fungal infection in immunocompromised patients, as well as their antifungal susceptibility patterns in vitro, in Assiut University Hospitals.
Methodology
 
This was a hospital based descriptive study conducted on 120 patients with clinical suspicion of having fungal infections admitted at different Intensive Care Units (ICUs) at Assiut University Hospitals. Direct microscopic examination and inoculation on Sabouraud Dextrose Agar (SDA) were performed on the collected specimens. Isolated yeasts were classified using phenotypic methods such as chromogenic media (Brilliance Candida agar), germ tube examination, and the Vitek 2 system for certain isolates, while the identification of mould isolates was primarily based on macroscopic and microscopic characteristics. Moulds were tested in vitro for antifungal susceptibility using the disc diffusion, and yeast were tested using Vitek 2 device cards.
Results
 
In this study, 100 out of 120 (83.3%) of the samples were positive for fungal infection. Candida and Aspergillus species were the most commonly isolated fungal pathogens. The isolates had the highest sensitivity to Amphotericin B (95 %), followed by Micafungin (94 %) in an in vitro sensitivity survey.
Conclusion
 
Invasive fungal infections are a leading cause of morbidity and …
Research Authors
Shaimaa Abd El-Azeem Salem
Research Date
Research Journal
Egyptian Journal of Medical Microbiology
Research Member
Research Pages
127-134
Research Publisher
Egyptian Society for Medical Microbiology (ESMM)
Research Vol
Volume 30, Issue 3
Research Website
https://scholar.google.com/scholar?oi=bibs&cluster=373137743721081569&btnI=1&hl=en
Research Year
2021