Login / Signup

Rapid identification and antimicrobial susceptibility testing of Gram-negative rod on positive blood cultures using MicroScan panels.

Ana Infante-UrriosVictoria Ortiz de la Tabla DucasseCoral Martín-GonzálezGregoria GázquezFernando Buñuel
Published in: European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology (2020)
Shortening the turnaround time of antimicrobial susceptibility testing (AST) of bacteria permits a significant reduction of patient morbidity, mortality, and cost. Conventional blood culture methods are the gold standard diagnostic test to guide management of patient with sepsis, but the conventional process requires at least 12 to 24 h after the blood culture has been flagged as positive due to requirement for pure colonies. We describe a simple and inexpensive method to obtain faster AST with MicroScan system (Beckman Coulter) directly from positive blood cultures. Conventional and direct identification and AST were performed simultaneously by both methods in 1070 blood cultures, and 9106 MICs were determinated. About 96.5% were correctly identified with the direct method. Overall, categorical agreement was 92.86%. We found 46 very major errors, but globally the results showed a good correlation with the standard method, particularly favorable for E. coli and K. pneumoniae, except amoxicillin-clavulanate and piperacillin-tazobactam. For P. mirabilis, betalactams antibiotics (except second- and third-generation cephalosporines) showed a good correlation, and also a good correlation was found for ciprofloxacine and gentamicine in P. aeruginosa and amoxicillin-clavulanate, ciprofloxacine, gentamicine, and cotrimoxazole in E. cloacae. This method has the main advantage of providing reliable results 1 day earlier, being a simple, fast, and cheap method for identification and antimicrobial susceptibility testing results from positive blood cultures.
Keyphrases
  • gram negative
  • multidrug resistant
  • escherichia coli
  • emergency department
  • acute kidney injury
  • bioinformatics analysis