Observational studyBMJ open2014
Seeking the source of Pseudomonas aeruginosa infections in a recently opened hospital: an observational study using whole-genome sequencing.
Observational study in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 130 citations in OpenAlex.
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- Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- High frequency body site translocation of nosocomial Pseudomonas aeruginosa.Nature communications · 2025Article
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- Genomic Characterization of Extremely Antibiotic-Resistant Strains ofBiotech (Basel (Switzerland)) · 2025Article
- In vitro and in silico evaluation of the serrapeptase effect on biofilm and amyloids of Pseudomonas aeruginosa.Applied microbiology and biotechnology · 2023Article
- An Overview of Cefiderocol's Therapeutic Potential and Underlying Resistance Mechanisms.Life (Basel, Switzerland) · 2023Review
- Mechanisms of Antibiotic and Biocide Resistance That Contribute toBiomedicines · 2023Review
- Antimicrobial Susceptibility and Molecular Features of Colonizing Isolates ofAntibiotics (Basel, Switzerland) · 2023Article
- Rapid detection ofFrontiers in cellular and infection microbiology · 2023Article
- From Copper Tolerance to Resistance inGenes · 2022Review
- Siderophores drive invasion dynamics in bacterial communities through their dual role as public good versus public bad.Ecology letters · 2022Article
- Whole-genome analysis of carbapenem-resistantComputational and structural biotechnology journal · 2022Article
- Whole Genome Multi-Locus Sequence Typing and Genomic Single Nucleotide Polymorphism Analysis for Epidemiological Typing ofFrontiers in microbiology · 2022Article
- β-lactam Resistance inPathogens (Basel, Switzerland) · 2021Review
- The rise and the fall of aMicrobial genomics · 2021Article
- Combining Functional Genomics and Whole-Genome Sequencing to Detect Antibiotic Resistance Genes in Bacterial Strains Co-Occurring Simultaneously in a Brazilian Hospital.Antibiotics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesPseudomonas aeruginosa is a common nosocomial pathogen responsible for significant morbidity and mortality internationally. Patients may become colonised or infected with P. aeruginosa after exposure to contaminated sources within the hospital environment. The aim of this study was to determine whether whole-genome sequencing (WGS) can be used to determine the source in a cohort of burns patients at high risk of P. aeruginosa acquisition. STUDY
designAn observational prospective cohort study.
settingBurns care ward and critical care ward in the UK.
participantsPatients with >7% total burns by surface area were recruited into the study.
methodsAll patients were screened for P. aeruginosa on admission and samples taken from their immediate environment, including water. Screening patients who subsequently developed a positive P. aeruginosa microbiology result were subject to enhanced environmental surveillance. All isolates of P. aeruginosa were genome sequenced. Sequence analysis looked at similarity and relatedness between isolates.
resultsWGS for 141 P. aeruginosa isolates were obtained from patients, hospital water and the ward environment. Phylogenetic analysis revealed eight distinct clades, with a single clade representing the majority of environmental isolates in the burns unit. Isolates from three patients had identical genotypes compared with water isolates from the same room. There was clear clustering of water isolates by room and outlet, allowing the source of acquisitions to be unambiguously identified. Whole-genome shotgun sequencing of biofilm DNA extracted from a thermostatic mixer valve revealed this was the source of a P. aeruginosa subpopulation previously detected in water. In the remaining two cases there was no clear link to the hospital environment.
conclusionsThis study reveals that WGS can be used for source tracking of P. aeruginosa in a hospital setting, and that acquisitions can be traced to a specific source within a hospital ward.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.