Evidence map›Paper›PMID 41721420›Full record

ArticleGenome biology2026

Genomic and epidemiological identification of Pseudomonas aeruginosa transmission chains and in hospital ICUs.

Lucia Graña-Miraglia, Xiaoyi Hu, Cheryl Volling, Laura Mataseje, Michael R Mulvey, Allison McGeer, David S Guttman, Toronto Invasive Bacterial Diseases Network (TIBDN)

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Whole genome sequencing of ceftolozane/tazobactam-resistant, XDRFrontiers in cellular and infection microbiology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lucia Graña-MiragliaDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Xiaoyi HuDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Cheryl VollingDepartment of Microbiology, Sinai Health, Toronto, Canada.
Laura MatasejeNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
Michael R MulveyNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
Allison McGeerDepartment of Microbiology, Sinai Health, Toronto, Canada.
David S GuttmanDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada. david.guttman@utoronto.ca.
Toronto Invasive Bacterial Diseases Network (TIBDN)

Funding

Build in Canada Innovation Program BCIP-S6-0518Genomics R&D Initiative GRDI7 2254557Natural Sciences and Engineering Research Council of Canada 455900
6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa (PA) is an opportunistic pathogen that poses a significant threat to hospitalized patients, particularly in intensive care units (ICUs) due to its ability to contaminate the environment and subsequently infect vulnerable patients. This study seeks to demonstrate that genomic data is an accessible, rapid, and robust genomic epidemiological tool that can be used in a clinical or diagnostic setting to improve our understanding of PA transmission dynamics and enhance infection prevention and control strategies.

resultsWe performed analysis on 2046 PA isolates recovered from patients and sink drains in seven hospital ICUs. We find that a pairwise genetic distance threshold of 24 SNPs best approximates the maximum expected divergence between clonal strains. The pairing of this genetic threshold and the ELS identifies 82 transmission clusters, encompassing 730 isolates, suggesting both environment-patient and patient-patient transmission. Our analysis identifies PA reservoirs in ICU sink drains that last nearly two years and transmission clusters that span multiple ICUs, indicating inter-hospital transmission or shared external reservoirs. Epidemiological linkage is identified for over 70% of genetically linked environment-patient strain pairs and 49% of genetically linked patient-patient strain pairs.

conclusionsWe find strong support for the use of a genetic threshold to identify epidemiologically linked strains. We find genomic evidence for persistent environmental reservoirs as sources of ICU-associated PA infection. This work underscores the importance of environmental monitoring and infection control measures to mitigate the risk posed by contaminated sinks and other environmental sources.

Indexed as

Cross InfectionIntensive Care UnitsPseudomonas aeruginosaPseudomonas InfectionsGenome, BacterialGenomicsHumansPolymorphism, Single NucleotideEpidemiologyGenome sequenceHospital ICUsPseudomonas aeruginosaStrain transmission

Identifiers

PMID41721420
PMCPMC13032602

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.