Application of Automated Microbial Identification Systems for Rapid Diagnosis of Bacterial Sepsis

Abstract

Correct diagnosis of bloodstream infections is crucial for the disease’s outcome, especially for critically ill individuals. To achieve more rapid and adequate decisions, it is important to have a fully automated process for microbial detection, identification, and antimicrobial susceptibility testing. Therefore, most clinical microbiology laboratories are currently using automated systems with continuous monitoring and a closed cycle for the detection of microbial growth. In the current review, we discuss the most popular automated systems used for microbiological testing of blood cultures and present the main principles behind their application and efficiency. The advantages of microbial automated systems are considered in regard to laboratory time management and the accuracy of obtained laboratory results.