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.
Ana Paula ChristoffAline Fernanda Rodrigues SereiaGiuliano Netto Flores CruzDaniela Carolina de BastianiVanessa Leitner SilvaCamila HernandesAna Paula Metran NascenteAna Andrea Dos ReisRenata Gonçalves ViessiAndrea Dos Santos Pereira MarquesBianca Silva BragaTelma Priscila Lovizio RaduanMarines Dalla Valle MartinoFernando Gatti de MenezesLuiz Felipe Valter de OliveiraPublished in: PloS one (2020)
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.
Keyphrases
- healthcare
- end stage renal disease
- antimicrobial resistance
- intensive care unit
- public health
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- genome wide
- prognostic factors
- escherichia coli
- cross sectional
- preterm infants
- high throughput
- emergency department
- peritoneal dialysis
- drinking water
- pseudomonas aeruginosa
- mental health
- patient reported
- mass spectrometry
- mechanical ventilation
- liquid chromatography
- extracorporeal membrane oxygenation
- case report
- health risk
- bioinformatics analysis
- high speed
- staphylococcus aureus
- electronic health record
- klebsiella pneumoniae
- candida albicans
- acute respiratory distress syndrome