Bacterial colonization and succession in a newly opened hospital.
Simon LaxNaseer SangwanDaniel P SmithPeter LarsenKim Marie HandleyMiles RichardsonKristina GuytonMonika KrezalekBenjamin D ShoganJennifer DefazioIrma D FlemingBaddr ShakhsheerStephen WeberEmily LandonSylvia Garcia-HouchinsJeffrey A SiegelJohn AlverdyRob KnightBrent StephensJack A GilbertPublished in: Science translational medicine (2018)
The microorganisms that inhabit hospitals may influence patient recovery and outcome, although the complexity and diversity of these bacterial communities can confound our ability to focus on potential pathogens in isolation. To develop a community-level understanding of how microorganisms colonize and move through the hospital environment, we characterized the bacterial dynamics among hospital surfaces, patients, and staff over the course of 1 year as a new hospital became operational. The bacteria in patient rooms, particularly on bedrails, consistently resembled the skin microbiota of the patient occupying the room. Bacterial communities on patients and room surfaces became increasingly similar over the course of a patient's stay. Temporal correlations in community structure demonstrated that patients initially acquired room-associated taxa that predated their stay but that their own microbial signatures began to influence the room community structure over time. The α- and β-diversity of patient skin samples were only weakly or nonsignificantly associated with clinical factors such as chemotherapy, antibiotic usage, and surgical recovery, and no factor except for ambulatory status affected microbial similarity between the microbiotas of a patient and their room. Metagenomic analyses revealed that genes conferring antimicrobial resistance were consistently more abundant on room surfaces than on the skin of the patients inhabiting those rooms. In addition, persistent unique genotypes of Staphylococcus and Propionibacterium were identified. Dynamic Bayesian network analysis suggested that hospital staff were more likely to be a source of bacteria on the skin of patients than the reverse but that there were no universal patterns of transmission across patient rooms.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- healthcare
- peritoneal dialysis
- prognostic factors
- microbial community
- staphylococcus aureus
- squamous cell carcinoma
- blood pressure
- dna methylation
- escherichia coli
- network analysis
- pseudomonas aeruginosa
- biofilm formation
- cystic fibrosis
- acute care
- radiation therapy
- gene expression
- multidrug resistant
- mental health
- climate change
- transcription factor
- candida albicans
- electronic health record