Evangelia Voulgari1, Georgios Miliotis1, Eirini Siatravani1, Leonidas S Tzouvelekis2, Eva Tzelepi1, Vivi Miriagou3. 1. Laboratory of Bacteriology, Hellenic Pasteur Institute, Athens, Greece. 2. Laboratory of Bacteriology, Hellenic Pasteur Institute, Athens, Greece; Department of Microbiology, Medical School, University of Athens, Athens, Greece. 3. Laboratory of Bacteriology, Hellenic Pasteur Institute, Athens, Greece. Electronic address: miriagou@pasteur.gr.
Abstract
OBJECTIVES: Given the international spread of multidrug-resistant Gram-negative bacteria the need for prompt and precise characterization of underlying resistance traits has evolved into the cornerstone of infection control strategies. Novel commercial molecular tests enable rapid simultaneous testing for multiple resistance genes. We aimed to evaluate the performance of OpGen's Acuitas® Resistome Test and the Acuitas Lighthouse® software. METHODS: The test is tailored towards detecting 46 β-lactamase genes (SHV and TEM variants associated with wild-type penicillin resistance, extended-spectrum β-lactamases [ESBLs], acquired AmpCs and carbapenemases) via a microfluidic polymerase chain reaction (PCR) array. In total 118 isolates part of the collection of the Bacteriology Laboratory of the Hellenic Pasteur Institute, specifically 96 enterobacterial isolates and 21 Acinetobacter baumannii, of divergent origins, with previously characterized β-lactamase content, were tested. RESULTS: In the enterobacterial group all 69 carbapenemase genes of the KPC, VIM, NDM and OXA-48 types were correctly identified (sensitivity, specificity, positive predictive value [PPV] and negative predictive value [NPV] of 100%). Non-ESBL SHV enzymes, ESBLs (CTX-M, GES, VEB types) and acquired AmpC enzymes were also correctly characterized. Of the 35 SHV-ESBLs harboured, correct identification was possible in 32/35 isolates, with overall sensitivity, specificity, PPV and NPV for the Klebsiella pneumoniae group of 89.29%, 100%, 100% and 91.18%, respectively. For the A. baumannii group the test exhibited an overall sensitivity for carbapenemase detection of 96.55% and 100% PPV. CONCLUSIONS: The OpGen Acuitas Resistome Test is an efficient molecular tool that can identify resistance threats in health care institutions with high diagnostic accuracy and be integrated into targeted surveillance protocols.
OBJECTIVES: Given the international spread of multidrug-resistant Gram-negative bacteria the need for prompt and precise characterization of underlying resistance traits has evolved into the cornerstone of infection control strategies. Novel commercial molecular tests enable rapid simultaneous testing for multiple resistance genes. We aimed to evaluate the performance of OpGen's Acuitas® Resistome Test and the Acuitas Lighthouse® software. METHODS: The test is tailored towards detecting 46 β-lactamase genes (SHV and TEM variants associated with wild-type penicillin resistance, extended-spectrum β-lactamases [ESBLs], acquired AmpCs and carbapenemases) via a microfluidic polymerase chain reaction (PCR) array. In total 118 isolates part of the collection of the Bacteriology Laboratory of the Hellenic Pasteur Institute, specifically 96 enterobacterial isolates and 21 Acinetobacter baumannii, of divergent origins, with previously characterized β-lactamase content, were tested. RESULTS: In the enterobacterial group all 69 carbapenemase genes of the KPC, VIM, NDM and OXA-48 types were correctly identified (sensitivity, specificity, positive predictive value [PPV] and negative predictive value [NPV] of 100%). Non-ESBL SHV enzymes, ESBLs (CTX-M, GES, VEB types) and acquired AmpC enzymes were also correctly characterized. Of the 35 SHV-ESBLs harboured, correct identification was possible in 32/35 isolates, with overall sensitivity, specificity, PPV and NPV for the Klebsiella pneumoniae group of 89.29%, 100%, 100% and 91.18%, respectively. For the A. baumannii group the test exhibited an overall sensitivity for carbapenemase detection of 96.55% and 100% PPV. CONCLUSIONS: The OpGen Acuitas Resistome Test is an efficient molecular tool that can identify resistance threats in health care institutions with high diagnostic accuracy and be integrated into targeted surveillance protocols.