An Evaluation of Efficacy of Automated Blood Culture System of Dg Technology Using Bact/Alert 3d 60
Authors/Creators
- 1. 3rd Year PG Resident, Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
- 2. Associate Professor, Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
- 3. Professor & Head, Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
- 4. Assistant Professor Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
- 5. Senior Resident Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
- 6. Tutor Department of Microbiology, C.U. Shah Medical College, Surendranagar, Gujarat
Description
Introduction: Sepsis is a potentially deadly medical condition characterized by a whole body inflammatory state due to a variety of pathogenic organisms in blood. Early diagnosis and initiation of proper antibiotic therapy by performing blood culture tests is of prime importance. Conventional blood culture method has some limitations, like prolonged time of reporting. Automated Blood Culture techniques for microbiological diagnosis of sepsis is more commonly used in comparison to conventional blood culture methods as it continuously monitors blood culture systems with faster turnaround time. This study was undertaken to evaluate the efficacy of the automated blood culture system of DG Technologies by comparing it with BacT/ALERT 3D 60. Material and Method: This study was conducted at department of microbiology, C U Shah Medical College, Surendranagar. Total seven organisms in different concentrations i.e 10, 102 and 104 CFU/ml were prepared and 1 ml suspension from each dilution was inoculated in aerobic blood culture bottles of both the manufacturers. Sterile whole blood in quantity of 5 ml was added in all the bottles to check the efficacy of blood culture media to neutralize the antimicrobial effect of the blood. Result: Both the system showed similar outcome for all seven organisms and for all three concentrations i.e 10, 102 and 104 CFU/ml. A minor difference in turnaround time was noted. The difference in time ranges from 10 to 30 min. Conclusion: The DG Technology automated blood culture system gives quite comparable results with the standard existing automated system (BacT/ALERT 3D 60).
Abstract (English)
Introduction: Sepsis is a potentially deadly medical condition characterized by a whole body inflammatory state due to a variety of pathogenic organisms in blood. Early diagnosis and initiation of proper antibiotic therapy by performing blood culture tests is of prime importance. Conventional blood culture method has some limitations, like prolonged time of reporting. Automated Blood Culture techniques for microbiological diagnosis of sepsis is more commonly used in comparison to conventional blood culture methods as it continuously monitors blood culture systems with faster turnaround time. This study was undertaken to evaluate the efficacy of the automated blood culture system of DG Technologies by comparing it with BacT/ALERT 3D 60. Material and Method: This study was conducted at department of microbiology, C U Shah Medical College, Surendranagar. Total seven organisms in different concentrations i.e 10, 102 and 104 CFU/ml were prepared and 1 ml suspension from each dilution was inoculated in aerobic blood culture bottles of both the manufacturers. Sterile whole blood in quantity of 5 ml was added in all the bottles to check the efficacy of blood culture media to neutralize the antimicrobial effect of the blood. Result: Both the system showed similar outcome for all seven organisms and for all three concentrations i.e 10, 102 and 104 CFU/ml. A minor difference in turnaround time was noted. The difference in time ranges from 10 to 30 min. Conclusion: The DG Technology automated blood culture system gives quite comparable results with the standard existing automated system (BacT/ALERT 3D 60).
Files
IJPCR,Vol16,Issue7,Article278.pdf
Files
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Additional details
Dates
- Accepted
-
2024-06-25
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/16/IJPCR,Vol16,Issue7,Article278.pdf
- Development Status
- Active
References
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