We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Direct Bacterial Identification and Antimicrobial Susceptibility Test Evaluated

By LabMedica International staff writers
Posted on 01 Jul 2021
Rapid and accurate microbial identification and antimicrobial susceptibility testing (AST) are essential for timely use of appropriate antimicrobial agents for bloodstream infection. More...
Rapid, accurate diagnostic tests, and innovative treatments constitute the key for improvement of bloodstream infection outcome.

The conventional method to detect infectious agents from the positive blood cultures usually takes up to several days due to sub-culturing onto solid agar plates and biochemical tests. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), which can identify the microorganisms from the colonies within minutes, has proven over the years to be a rapid and accurate method for identification of microorganisms.

Medical Laboratory Scientists at The Catholic University of Korea (Seoul, Korea) prospectively evaluated 124 blood cultures flagged as positive for bacterial growth from August to September 2020. When automated blood culture system showed positive signal, an aliquot from positive blood cultures was subjected to Gram staining and then subcultured. After overnight incubation, a pure colony from the agar plate was used for MALDI-TOF MS analysis with MicroIDSys system (ASTA Corp, Suwon, Korea) and AST by VITEK-2 system (bioMérieux, Marcy l'Etoile, France). For cases showing single morphotype by Gram stain, direct bacterial identification was performed using ASTA Corp’s SepsiPrep kit.

The investigators reported that compared to the conventional method using pure colony, correct direct identification rate was 96.5% and 98.5% for 57 gram-positive isolates and 67 gram-negative isolates, respectively. For direct AST, among the 55 gram-positive isolates, the categorical agreement (CA) for staphylococci, streptococci, and enterococci was 96.7%, 98.4%, and 94.1%, respectively. For 66 gram-negative isolates, the CA for Enterobacterales and non-fermentative gram-negative rods was 99.0% and 96.6%, respectively. A total of three isolates showed “invalid identification”; Streptococcus mitis/oralis, Enterococcus faecium, and Klebsiella oxytoca.

The authors concluded that their study demonstrated the effectiveness of the blood culture pellet prepared with SepsiPrep kit for direct AST as well as rapid and accurate identification. The ASTA SepsiPrep kit was very easy to use because the lysis buffer is freeze-dried and contained in one tube and only two washing steps were needed. Combining use of MicroIDSys Elite system and VITEK-2 system with blood culture pellet provided reliable identification and AST results in same day that the blood culture bottles flagged positive. The study was published in the June, 2021 issue of the Journal of Clinical Laboratory Analysis.

Related Links:
The Catholic University of Korea
ASTA Corp
bioMérieux



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Electrolyte Analyzer
CBS-4000 (CBS-400)
Automated Clinical Chemistry Analyzer
Envoy 500+
Electrolyte Analyzer
BKE-B
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Tracking blood test trends alongside unexplained weight loss may help identify patients at increased cancer risk and support earlier investigation (Image Credit: 123RF)

Blood Test Patterns Improve Cancer Risk Assessment in Primary Care

Unexplained weight loss is a common but nonspecific presentation in primary care that can precede several types of cancer, making referral decisions difficult. Routine blood tests may produce borderline... Read more

Molecular Diagnostics

view channel
Image: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Pathology

view channel
Image: The model combines digitized tumor histopathology, clinical variables, and a 42-gene molecular panel using AI to generate a unified recurrence risk prediction (Image Credit: Shutterstock)

Multimodal AI Improves Breast Cancer Recurrence Risk Prediction Beyond Standard Genomic Testing

Predicting which patients with early-stage breast cancer will develop distant recurrence remains difficult, complicating decisions about long-term therapy and surveillance. Widely used genomic assays are... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.