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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Kassim, Ali Pflüger, Valentin Premji, Zul Daubenberger, Claudia Revathi, Gunturu |
| Abstract | Background MALDI-TOF MS is an analytical method that has recently become integral in the identification of microorganisms in clinical laboratories. It relies on databases that majorly employ pattern recognition or fingerprinting. Biomarker based databases have also been developed and there is optimism that these may be superior to pattern recognition based databases. This study compared the performance of ribosomal biomarker based MALDI-TOF MS and conventional methods in the identification of selected bacteria and yeast. Methods The study was a cross sectional study identifying clinically relevant bacteria and yeast isolated from varied clinical specimens submitted to a clinical laboratory. The identification of bacteria using conventional Vitek 2™ automated system, serotyping and MALDI-TOF MS was performed as per standard operating procedures. Comparison of sensitivities were then carried out using Pearson Chi-Square test and p-value of <0.05 was considered statistically significant. Secondary outcomes analyzed included the major and minor error rates. Results Of the 383 isolates MALDI-TOF MS and conventional methods identified 97.6 and 95.7% (p = 0.231) to the genus level and 97.4 and 88.0% (p = 0.000) to the species level respectively. Biomarker based MALDI-TOF MS was significantly superior to Vitek 2™ in the identification of Gram negative bacteria and Gram positive bacteria to the species level. For the Gram positive bacteria, significant difference was observed in the identification of Coagulase negative Staphylococci (p = 0.000) and Enterococcus (p = 0.008). Significant difference was also observed between serotyping and MALDI-TOF MS (p = 0.005) and this was attributed to the lack of identification of Shigella species by MALDI-TOF MS. There was no significant difference observed in the identification of yeast however some species of Candida were unidentified by MALDI-TOF MS. Conclusion Biomarker based MALDI-TOF MS had good performance in a clinical laboratory setting with high sensitivities in the identification of clinically relevant microorganisms. |
| Related Links | https://bmcmicrobiol.biomedcentral.com/counter/pdf/10.1186/s12866-017-1037-z.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712180 |
| DOI | 10.1186/s12866-017-1037-z |
| Journal | BMC Microbiology |
| Issue Number | 1 |
| Volume Number | 17 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2017-05-25 |
| Access Restriction | Open |
| Subject Keyword | Microbiology Biological Microscopy Mycology Parasitology Virology Life Sciences MALDI-TOF MS PAPMID™ VITEK 2™ SARAMIS™ |
| Content Type | Text |
| Resource Type | Article |
| Subject | Microbiology Microbiology (medical) |
| Journal Impact Factor | 4/2023 |
| 5-Year Journal Impact Factor | 4.6/2023 |
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