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새로운 말디토프 질량 분석 장비인 ASTA MicroIDSys의 임상 균주를 이용한 균종 동정 성능 평가

Other Titles
 Evaluation of the Performance of ASTA MicroIDSys, a Novel Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry System, in Identification of Bacterial Clinical Isolates 
Authors
 유창승  ;  이은정  ;  김도균  ;  정석훈 
Citation
 Annals of Clinical Microbiology, Vol.23(3) : 195-208, 2020-09 
Journal Title
Annals of Clinical Microbiology
ISSN
 2288-0585 
Issue Date
2020-09
Abstract
Background:We evaluated the performance of ASTA MicroIDSys (ASTA, Korea) and Bruker Biotyper (Bruker Daltonics, Germany) systems in the identification of bacterial isolates from clinical microbiology laboratory specimens during the study period. In addition, species for which the identification accuracy using MALDI-TOF MS systems was previously reported to be poor were also identified by comparing the MS results with those obtained using molecular identification.

Methods:A total of 889 non-duplicated clinical isolates were included in this study. The results of ASTA MicroIDSys were compared with those of Bruker Biotyper; 16S rRNA sequencing was performed for the species for which results obtained using the two systems did not match. The sequences of rpoB , hisA, and/or recA for the clinical isolates of Acinetobacter species, Klebsiella species, and Burkholderia cepacia complex were analyzed and used as reference identifications.

Results: The concordance rates for bacterial identification using ASTA MicroIDSys and Bruker Biotyper were 100% at the genus level and 98.3% at the species level for isolates belonging to the order Enterobacterales. Similarly, the concordance rates at the genus and species levels were 98.8% and 91.0% for glucose non-fermenting bacilli, 100% and 100% for gram-positive cocci, and 98.9% and 98.9% for other isolates, respectively. ASTA MicroIDSys was expected to correctly identify 97.9% of the 108,251 isolates identified in our clinical microbiology laboratory over the past 5 years.

Conclusion:ASTA MicroIDSys showed excellent performance in bacterial identification for most of the clinically relevant species. Further extension of the database could improve the identification accuracy of ASTA MicroIDSys.
Files in This Item:
T202006206.pdf Download
DOI
10.5145/ACM.2303.23.3.3
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dokyun(김도균) ORCID logo https://orcid.org/0000-0002-0348-5440
Liu, Changseung(유창승) ORCID logo https://orcid.org/0000-0002-8777-7431
Jeong, Seok Hoon(정석훈) ORCID logo https://orcid.org/0000-0001-9290-897X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/182560
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