AI Article Synopsis

  • A new automated microbiology system called RAISUS was assessed for identifying gram-positive and gram-negative bacteria, achieving a 99.0% success rate in identifying 200 out of 202 clinical isolates.
  • The RAISUS system outperformed the existing MicroScan Walk/Away system, which had six misidentifications, indicating a higher accuracy in species identification.
  • Additionally, the RAISUS provided rapid results with most identification completed within 5 hours and susceptibility test results in 4 to 7 hours, proving it effective for routine clinical laboratory use.

Article Abstract

A fully automated microbiology system, RAISUS newly developed (Nissui Pharmaceuticals Co., Ltd., Tokyo) was evaluated for gram-positive and gram-negative clinical isolates. In the species-identification, the RAISUS comparably identified 200 of 202 isolates (99.0%) consisting of 10 species of gram-positive cocci and of 16 species of gram-negative bacilli. When compared to the MicroScan Walk/Away, which resulted in six misidentifications, the RAISUS showed higher accuracy in species-identification. In the evaluation of antimicrobial susceptibility test, the RAISUS gave comparable minimum inhibitory concentrations (MICs) and category interpretations. Of 693 testings for gram-positive and of 721 testings for gram-negative isolates, 655 (94.5%) and 688 (95.4%) testings gave comparable interpretations to the reference microdilution test, respectively. Most identification results were reported within 5-hour incubation by RAISUS, and susceptibility test results were 4 to 7 hour-incubations. With these results obtained through laboratory-based evaluation, it became apparent that the RAISUS has enough accuracy and rapidity to determine species-identification and antimicrobial susceptibility, and is applicable to the routine testing in clinical laboratories.

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