Open AccessProspective evaluation of a screening algorithm for carbapenemase‐producing Enterobacteriaceae
Author(s) -
Choquet Morgane,
Guiheneuf Raphaël,
Castelain Sandrine,
Pluquet Emilie,
Decroix Véronique
Publication year - 2019
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.22706
Subject(s) - false positive paradox , turnaround time , predictive value , algorithm , clinical microbiology , enterobacteriaceae , medicine , microbiology and biotechnology , computer science , biology , machine learning , escherichia coli , gene , genetics , operating system
Abstract Background Carbapenemase‐producing Enterobacteriaceae (CPE) have become a major public health issue. The objective of the present study was to prospectively assess the analytical performance of a CPE detection algorithm based on phenotypic tests (the screening test) and MALDI‐ToF hydrolysis (the confirmatory test). Methods Over a 6‐month period and based on a disk diffusion method, 74 carbapenem‐resistant strains were included in this study. Results Of the collected isolates, 54 turned out to be negative after phenotypic tests. Hence, 20 strains (including all of the CPEs) were checked with the confirmation test. Seven strains were positive. After molecular biology assessments in a reference center, three of the seven were found to be false positives. The algorithm had a negative predictive value and a sensitivity of 100%, a specificity of 77%, and a positive predictive value of 20%. Conclusion The algorithm has a 24‐hour turnaround time and helps to avoid using expensive molecular biology tests; we consider that it can be used on a routine basis for screening clinical strains.