Comparative Assessment of Matrix-assisted Laser Desorption Ionization-time of Flight Mass Spectrometry (MALDI-TOF-MS) and Conventional Methods in the Identification of Clinically Relevant Yeasts.

candida cma identification maldi-tof-ms yeast

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Jun 2021
Historique:
accepted: 11 06 2021
entrez: 19 7 2021
pubmed: 20 7 2021
medline: 20 7 2021
Statut: epublish

Résumé

Candida species are generally identified by conventional methods such as germ tube or morphological appearance on cornmeal agar (CMA), biochemical methods using API kits, and molecular biological techniques. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) has revolutionized the identification of fungi reducing the turnaround time of days to minutes. To compare the performance of MALDI-TOF MS and conventional methods in the identification of clinically relevant yeasts. In this study, Candida identifications on CMA are compared with the results obtained on MALDI-TOF MS (Bruker Daltonics, Bremen, Germany). Discrepant results were confirmed by sequencing internal transcribed spacer (ITS) regions of rDNA. A total of 114 clinical Candida species isolated from blood cultures were isolated and identified with conventional methods as well as with the MALDI-TOF-MS system. The agreement between the two test results were analyzed using Inter-rater reliability analysis (Cohen's Kappa) in SPSS Software Version 24 (IBM Corp., Armonk, NY). Overall, there was substantial agreement (Cohen's kappa=0.763) between the two methods. A value between 0.61 and 0.80 is classified under substantial. The most frequently isolated bloodstream Candida species included

Sections du résumé

BACKGROUND BACKGROUND
Candida species are generally identified by conventional methods such as germ tube or morphological appearance on cornmeal agar (CMA), biochemical methods using API kits, and molecular biological techniques. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) has revolutionized the identification of fungi reducing the turnaround time of days to minutes.
PURPOSE OBJECTIVE
To compare the performance of MALDI-TOF MS and conventional methods in the identification of clinically relevant yeasts.
MATERIALS AND METHODS METHODS
In this study, Candida identifications on CMA are compared with the results obtained on MALDI-TOF MS (Bruker Daltonics, Bremen, Germany). Discrepant results were confirmed by sequencing internal transcribed spacer (ITS) regions of rDNA.
RESULTS RESULTS
A total of 114 clinical Candida species isolated from blood cultures were isolated and identified with conventional methods as well as with the MALDI-TOF-MS system. The agreement between the two test results were analyzed using Inter-rater reliability analysis (Cohen's Kappa) in SPSS Software Version 24 (IBM Corp., Armonk, NY). Overall, there was substantial agreement (Cohen's kappa=0.763) between the two methods. A value between 0.61 and 0.80 is classified under substantial. The most frequently isolated bloodstream Candida species included

Identifiants

pubmed: 34277227
doi: 10.7759/cureus.15607
pmc: PMC8273367
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e15607

Informations de copyright

Copyright © 2021, Meena et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

J Clin Microbiol. 2009 Sep;47(9):2912-7
pubmed: 19571014
Diagn Microbiol Infect Dis. 2012 May;73(1):65-7
pubmed: 22578939
BMC Infect Dis. 2013 Jul 22;13:337
pubmed: 23875950
Euro Surveill. 2019 Jan;24(4):
pubmed: 30696525
J Clin Microbiol. 2011 Apr;49(4):1614-6
pubmed: 21270234
Clin Microbiol Infect. 2014 Feb;20(2):153-8
pubmed: 23594150
Future Sci OA. 2018 Jun 14;4(6):FSO307
pubmed: 30057784
Med Mycol. 2014 May;52(4):342-9
pubmed: 24782106
BMC Microbiol. 2017 May 25;17(1):128
pubmed: 28545528
Antimicrob Agents Chemother. 2017 Apr 24;61(5):
pubmed: 28264843
Mycopathologia. 2016 Feb;181(1-2):67-73
pubmed: 26400863
Clin Microbiol Infect. 2010 Nov;16(11):1614-9
pubmed: 20636422

Auteurs

Suneeta Meena (S)

Lab Medicine, All India Institute of Medical Sciences New Delhi, New Delhi, IND.

Aroop Mohanty (A)

Microbiology, All India Institute of Medical Sciences Gorakhpur, Gorakhpur, IND.

Neelam Kaistha (N)

Microbiology, All India Institute of Medical Sciences Rishikesh, Rishikesh, IND.

U Sasirekha (U)

Microbiology, All India Institute of Medical Sciences Rishikesh, Rishikesh, IND.

Jitendra Meena (J)

Preventive Oncology, National Cancer Institute, All India Institute of Medical Sciences Jhajjar, Haryana, IND.

Classifications MeSH