How new molecular tools can help bugbusters: a Burkholderia cepacia complex outbreak investigation.

An outbreak of bloodstream infection (BSI) caused by members of the Burkholderia cepacia complex (Bcc) took place from March 2012 until April 2014 involving thirteen patients. AIM: To describe an outbreak investigation of BSI Bcc and showing how genetic sequencing tools contributed to confirm the hypothesis of extrinsic contamination proposed by an observational study. METHODS: The Infection Control Department revised and reinforced good practices of infusion therapy and catheter care, visits to affected wards, a case control study, and environmental screening based on the case-control findings. RESULTS: Data from the case-control study found an association of cases with central venous catheter (OR 1.36; CI 1.15-1.67) and intravenous cisatracurium use (OR 10.75; CI 1.67-68.89). Visits to the operatory block revealed problems related to the cold chain used for the preservation of thermolabile cisatracurium. We could not retrieve Bcc from environmental samples using classic microbiology. New samples from the same surfaces were obtained for genetic sequencing. Bcc was identified in the cooler box, refrigerator and reusable ice packages. CONCLUSION: Environmental screening using genetic sequencing proved to be a useful tool for confirming our hypothesis of extrinsic contamination raised by the case-control study.

One year cross-sectional study in adult and neonatal intensive care units reveals the bacterial and antimicrobial resistance genes profiles in patients and hospital surfaces.

Several studies have shown the ubiquitous presence of bacteria in hospital surfaces, staff, and patients. Frequently, these bacteria are related to HAI (healthcare-associated infections) and carry antimicrobial resistance (AMR). These HAI-related bacteria contribute to a major public health issue by increasing patient morbidity and mortality during or after hospital stay. Bacterial high-throughput amplicon gene sequencing along with identification of AMR genes, as well as whole genome sequencing (WGS), are biotechnological tools that allow multiple-sample screening for a diversity of bacteria. In this paper, we used these methods to perform a one-year cross sectional profiling of bacteria and AMR genes in adult and neonatal intensive care units (ICU and NICU) in a Brazilian public, tertiary hospital. Our results showed high abundances of HAI-related bacteria such as S. epidermidis, S. aureus, K. pneumoniae, A. baumannii complex, E. coli, E. faecalis, and P. aeruginosa in patients and hospital surfaces. Most abundant AMR genes detected throughout ICU and NICU were mecA, blaCTX-M-1 group, blaSHV-like, and blaKPC-like. We found that NICU environment and patients were more widely contaminated with pathogenic bacteria than ICU. Patient samples, despite the higher bacterial load, have lower bacterial diversity than environmental samples in both units. Finally, we also identified contamination hotspots in the hospital environment showing constant frequencies of bacterial and AMR contamination throughout the year. Whole genome sequencing (WGS), 16S rRNA oligotypes, and AMR identification allowed a high-resolution characterization of the hospital microbiome profile.