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Prabha Krishnan

Prabha Krishnan

Tan Tock Seng Hospital and National Public Health Laboratory, Singapore

Title: Adapting laboratory techniques for the detection of Carbapenamase Producing Enterobacteriaceae (CPE) carriage to changing trends in the prevalence of CPE in Singapore

Biography

Biography: Prabha Krishnan

Abstract

The local epidemiology of CPE has been evolving over the last decade; since 2010, this 1500-bed-hospital has adopted an expanding screening program for CPE detection.  The high-risk screening strategy has been replaced by a  combined proactive (selective on-entry screening) and reactive (contact-tracing) strategy for early identification of asymptomatic carriers. Between 2010 and 2015, the number of CPE detected on screening has increased from one to 31, genotypes from one to eight and enterobacterial species  from three to 14.  Laboratory protocols too have evolved over this period. A rectal swab (or stool sample) was initially processed using the CDC-TSB-Enrichment-Method with 10-µg ertapenem disc. Since 2013, to improve turn-around-time and sensitivity, samples were plated onto chromogenic agar (chromIDTM CARBA, bioMérieux) and colonies with characteristic colours were investigated further. From April 2016 the selective plate has been changed to chromIDTM CARBA-SMART Agar to improve detection of OXA-48-type CPE. Species identification is by MALDI-ToF-MS (Bruker Daltonics) and antimicrobial susceptibility testing by VITEK-2 (bioMérieux Vitek, Inc.), interpreted according to revised (June 2010) breakpoints set by CLSI. A few isolates harbouring OXA-48-type and IMI-1 carbapenemases were not detected with this protocol. The genotype of meropenem non-susceptible isolates was determined using a multiplex RT-PCR assay targeting Class A (KPC, IMI, GES, SME), Class B (NDM, IMP, VIM) and Class D (OXA-48-type) carbapenemases.  No one protocol is ideal for the early detection of all CPEs; an algorithm to investigate all Enterobacteriaceae with meropenem MIC  > 0.25 mgs/L as proposed by Hrabák J. et al could lead to a more sensitive CPE detection workflow