Automated microbiological diagnosis of bloodstream infections
Abstract: The term “bloodstream infection” (BSI) describes the existence of live microorganisms in the blood that have the potential to alter hemodynamic and clinical features, trigger an inflammatory response in the host, and have significant repercussions. Although viruses, fungi, bacteria, and protozoa can all cause bloodstream infections (BSIs), bacteria are the primary cause. When treating patients, it is critical to identify the bacteriological agent and its antibiotic susceptibility pattern as soon as possible. Blood samples from suspected BSI patients are run through automated culture systems to isolate bacteria. Two automated techniques for bacterial growth detection are BacT/Alert 3D and Bactec (BD), followed by Vitek-2’s AST and identification.
Authors
- Basanti Kumari Pathi (ORCID: https://orcid.org/0000-0001-9112-3249)
- Arup Mukherjee (ORCID: https://orcid.org/0000-0001-6451-0358)
- Suman Baral (ORCID: https://orcid.org/0000-0003-0906-138X)
- Soumya Ranjan Nayak (ORCID: https://orcid.org/0000-0002-4155-884X)
- Smrutishree Mohapatro
Publication Details
- Journal
- Journal of Integrative Medicine and Research
- Published
- 2024-10-01
- DOI
- https://doi.org/10.4103/jimr.jimr_7_24
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00