Evaluation of the MALDI-TOF MS method for routine identification of Candida species in a tertiary care hospital in Thailand
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Issued Date
2022-01-01
Resource Type
ISSN
22317538
eISSN
18238262
Scopus ID
2-s2.0-85133515000
Journal Title
Malaysian Journal of Microbiology
Volume
18
Issue
3
Start Page
301
End Page
308
Rights Holder(s)
SCOPUS
Bibliographic Citation
Malaysian Journal of Microbiology Vol.18 No.3 (2022) , 301-308
Suggested Citation
Mongkudkarn A., Tulyaprawat O., Tingtoy N., Boonlert D., Ngamskulrungroj P., Chongtrakool P. Evaluation of the MALDI-TOF MS method for routine identification of Candida species in a tertiary care hospital in Thailand. Malaysian Journal of Microbiology Vol.18 No.3 (2022) , 301-308. 308. doi:10.21161/mjm.211234 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/85050
Title
Evaluation of the MALDI-TOF MS method for routine identification of Candida species in a tertiary care hospital in Thailand
Author's Affiliation
Other Contributor(s)
Abstract
Aims: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is increasingly used to identify Candida spp. in diagnostic laboratories due to its strength in providing accurate information results, speed and cost-effectiveness. However, its accuracy varies on instrument platform, reference database, sample preparation techniques and interlaboratory comparisons. Therefore, the use of MALDI-TOF MS for species identification was evaluated against traditional biochemical identification, namely BrillianceTM Candida and Remel RapIDTM Yeast Plus System. Methodology and results: To evaluate and compare identification efficiency, turnaround time and consumable cost, 194 clinical isolates of Candida were collected. The results showed overall 85.6% concordant identification between two methods with 94.9-99.5% and 100% accuracy in traditional and MALDI-TOF MS, respectively, in the identification of four common Candida species; C. albicans, C. tropicalis, C. parapsilosis sensu stricto and C. glabrata sensu stricto. Other Candida species were also identified with 85.6% and 97.5% accuracy rates by traditional and MALDI-TOF MS, respectively. Additionally, identification using MALDI-TOF MS reduced overall turnaround time and cost by approximately 99.8% and 86.5%, respectively. Conclusion, significance and impact of study: This study highlights the performance of MALDI-TOF MS, which is more accurate in identifying Candida spp. with a less hands-on approach, cheaper cost and shorter turnaround time.