Clinical Performance of a Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Method for Detection of Certain blaKPC-Containing Plasmids

Abstract

Rapid detection of blaKPC-containing organisms can significantly impact infection control and clinical practices, as well as therapeutic choices. Current molecular and phenotypic methods to detect these organisms, however, require additional testing beyond routine organism identification. In this study, we evaluated the clinical performance of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) to detect pKpQIL_p019 (p019)-an ∼11,109-Da protein associated with certain blaKPC-containing plasmids that was previously shown to successfully track a clonal outbreak of blaKPC-pKpQIL-Klebsiella pneumoniae in a proof-of-principle study (A. F. Lau, H. Wang, R. A. Weingarten, S. K. Drake, A. F. Suffredini, M. K. Garfield, Y. Chen, M. Gucek, J. H. Youn, F. Stock, H. Tso, J. DeLeo, J. J. Cimino, K. M. Frank, and J. P. Dekker, J Clin Microbiol 52:2804-2812, 2014, http://dx.doi.org/10.1128/JCM.00694-14). PCR for the p019 gene was used as the reference method. Here, blind analysis of 140 characterized Enterobacteriaceae isolates using two protein extraction methods (plate extraction and tube extraction) and two peak detection methods (manual and automated) showed sensitivities and specificities ranging from 96% to 100% and from 95% to 100%, respectively (2,520 spectra analyzed). Feasible laboratory implementation methods (plate extraction and automated analysis) demonstrated 96% sensitivity and 99% specificity. All p019-positive isolates (n = 26) contained blaKPC and were carbapenem resistant. Retrospective analysis of an additional 720 clinical Enterobacteriaceae spectra found an ∼11,109-Da signal in nine spectra (1.3%), including seven from p019-containing, carbapenem-resistant isolates (positive predictive value [PPV], 78%). Instrument tuning had a significant effect on assay sensitivity, highlighting important factors that must be considered as MALDI-TOF MS moves into applications beyond microbial identification. Using a large blind clinical data set, we have shown that spectra acquired for routine organism identification can also be analyzed automatically in real time at high throughput, at no additional expense to the laboratory, to enable rapid detection of potentially blaKPC-containing carbapenem-resistant isolates, providing early and clinically actionable results.