Direct Microbial Identification using An Automated Microbial Identification System to Facilitate the EUCAST RAST Method Without Mass Spectrometry.

Gram-negative (GN) sepsis is a medical emergency where management in resource-limited settings relies on conventional microbiological culture techniques providing results in 3-4 days. Recognizing this delay in turnaround time (TAT), both EUCAST and CLSI have developed protocols for determining AST results directly from positively flagged automated blood culture bottles (+aBCs). EUCAST rapid AST (RAST) protocol was first introduced in 2018, where zone diameter breakpoints for four common etiological agents of GN sepsis, i.e., Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii complex can be reported. However, those clinical laboratories that have implemented this method in their routine workflow rely on mass spectrometry-based microbial identification, which is not easily available, thus precluding its implementation in resource-limited settings. To circumvent it, we evaluated a direct inoculum protocol (DIP) using a commercial automated microbial identification and antimicrobial susceptibility testing system (aMIAST) to enable early microbial identification within 8 h of positive flagging of aBC. We evaluated this protocol from January to October 2023 to identify the four RAST reportable GN (RR-GN) in the positively flagged aBC. The microbial identification results in DIP were compared with the standard inoculum preparation protocol (SIP) in aMIAST. Of 204 +aBCs with monomorphic GN (+naBC), one of the 4 RR-GN was identified in 105 +naBCs by SIP (E. coli: 50, K. pneumoniae: 20, P. aeruginosa: 9 and A. baumannii complex: 26). Of these, 94% (98/105) were correctly identified by DIP whereas major error and very major error rates were 6% (7/105) and 1.7% (4/240), respectively. When DIP for microbial identification is done using the EUCAST RAST method, provisional clinical reports can be provided within 24 h of receiving the sample. This approach has the potential to significantly reduce the TAT, enabling early institution of appropriate antimicrobial therapy.