Prevalence and Antifungal Susceptibility of the Emerging Fungal Species, , Isolated in a Teaching Hospital in Poland.

Prevalence and Antifungal Susceptibility of the Emerging Fungal Species, , Isolated in a Teaching Hospital in Poland.

Sikora, Magdalena;Kuthan, Robert;Piskorska-Malolepsza, Katarzyna;Golas-Pradzynska, Marlena;Domański, Dariusz;Augustynowicz-Kopeć, Ewa;Swoboda-Kopec, Ewa;
polish journal of microbiology 2019 Vol. 68 pp. 303-308
214
sikora2019prevalencepolish

Abstract

The data on susceptibility to antifungals of new species within complex are limited. Our study was to enrich a global knowledge of yeast epidemiology and drug resistance. The study was focused on the identification of species within clinical isolates of the complex and on the determination of their resistance to antifungals. Four hundred forty-five clinical strains were isolated from different clinical samples at routine mycological exams at the Infant Jesus Teaching Hospital in Warsaw. The identification of the most of tested isolates to species complex level was performed using the ID 32 C system. The identification of and species within the complex was performed by DNA sequencing. The MICs of amphotericin B, fluconazole, itraconazole, posaconazole, voriconazole, caspofungin, anidulafungin, and micafungin were determined by E-test. Twenty-four isolates did not have an ITS-1 region, characteristic of and their D1/D2 regions of the 26S rRNA were 99% homologous to 26S rRNA. No strains of were recovered. strains were very susceptible to amphotericin B, anidulafungin, micafungin, and caspofungin. Ninety-two percent of were resistant to itraconazole. The halves of the strains was resistant to posaconazole. Eighty-three percent of were susceptible to voriconazole. None of the tested strains were susceptible to fluconazole. In the present study, none of the strains were simultaneously resistant to azoles and echinocandins. should be recognized as an emerging pathogen, resistant to azoles.The data on susceptibility to antifungals of new species within complex are limited. Our study was to enrich a global knowledge of yeast epidemiology and drug resistance. The study was focused on the identification of species within clinical isolates of the complex and on the determination of their resistance to antifungals. Four hundred forty-five clinical strains were isolated from different clinical samples at routine mycological exams at the Infant Jesus Teaching Hospital in Warsaw. The identification of the most of tested isolates to species complex level was performed using the ID 32 C system. The identification of and species within the complex was performed by DNA sequencing. The MICs of amphotericin B, fluconazole, itraconazole, posaconazole, voriconazole, caspofungin, anidulafungin, and micafungin were determined by E-test. Twenty-four isolates did not have an ITS-1 region, characteristic of and their D1/D2 regions of the 26S rRNA were 99% homologous to 26S rRNA. No strains of were recovered. strains were very susceptible to amphotericin B, anidulafungin, micafungin, and caspofungin. Ninety-two percent of were resistant to itraconazole. The halves of the strains was resistant to posaconazole. Eighty-three percent of were susceptible to voriconazole. None of the tested strains were susceptible to fluconazole. In the present study, none of the strains were simultaneously resistant to azoles and echinocandins. should be recognized as an emerging pathogen, resistant to azoles.

Citation

ID: 74604
Ref Key: sikora2019prevalencepolish
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
74604
Unique Identifier:
10.33073/pjm-2019-032
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet