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Clinical Application of Matrix-Assisted Laser-Resolved Ionization Time-Of-Flight Mass Spectrometry for Rapid Detection of BloodBorne Pathogens.
- Source :
-
Alternative Therapies in Health & Medicine . Feb2024, Vol. 30 Issue 2, p97-101. 5p. - Publication Year :
- 2024
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Abstract
- Objective • To evaluate the performance of matrixassisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) in the identification of clinical pathogenic microorganisms. Methods • Blood culture-positive specimens were collected from inpatients in our hospital from March to December 2022 and identified using VITEK 2XL (biochemical), VITEK MS (colony), VITEK MS (bacterial membrane) and VITEK MS (separating gel) methods, respectively, to compare the compliance rate and identification values of the four methods. Results • A total of 280 strains were included in the analysis, including 155 (55.36%) Gram-negative and 125 (44.64%) Gram-positive strains. 279 (99.64%) of the 280 strains were identified by VITEK 2XL (biochemical), including 154 (99.35%) Gram-negative and 125 (100%) Gram-positive strains. VITEK MS (colony) identified 278 (99.29%) strains, including 153 (98.71%) Gram-negative and 125 (100%) Gram-positive. 261 (93.21%) strains were identified in VITEK MS (bacterial membrane), including 148 (95.48%) Gram-negative and 113 (90.40%) Grampositive strains. VITEK MS (separating gel) identified 232 (82.86%) strains, including 136 (87.74%) Gram-negative and 96 (76.80%) Gram-positive strains. Conclusion • MALDI-TOF MS findings are highly consistent with traditional culture identification methods in terms of identification accuracy, and the VITEK MS (bacterial membrane) and VITEK MS (separating gel) identification methods significantly reduce the turnaround time for identification in the laboratory. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10786791
- Volume :
- 30
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Alternative Therapies in Health & Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 176480763