ArticleCommunications medicine2024
Genomic virulence markers are associated with severe outcomes in patients with Pseudomonas aeruginosa bloodstream infection.
Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
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Who cites it
14 citing papers in PubMed.
- Heterogeneity of Critical Organ Dysfunction During Late-Onset Bacteremia in Preterm Infants.JAMA network open · 2026Observational
- Beyond probiotics: Lacticaseibacillus rhamnosus as a multi-target antagonist of Pseudomonas aeruginosa infections.Folia microbiologica · 2026Review
- Genomic diversity ofMicrobial genomics · 2026Article
- Molecular characterization of virulence and resistance determinants in clinical Pseudomonas aeruginosa isolates: a cross-sectional analysis of virulence-resistance associations.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Effectiveness of conventional antimicrobial agents against carbapenem resistant non-carbapenem β-lactams susceptible Pseudomonas aeruginosa infection in critically ill patients: a multicentre retrospective study.BMC infectious diseases · 2026Observational
- Can Artificial Intelligence Transform Early Warning for Antimicrobial-Resistant Outbreak Clones? Approaches, Gaps, and Opportunities: A Scoping Review.Antibiotics (Basel, Switzerland) · 2026Review
- First reported Pseudomonas soli bloodstream infection confirmed by whole-genome sequencing after MALDI-TOF misidentification.BMC microbiology · 2026Article
- Genomic and Phenotypic Insights into Carbapenem-ResistantMicroorganisms · 2026Article
- Carbapenem-resistance oprD mutations reshape Pseudomonas aeruginosa host-pathogen interactions during infection.Nature communications · 2026Article
- Enhancing infection diagnostics in advanced chronic liver disease: harnessing clinical metagenomics for rapid pathogen and antimicrobial resistance detection.npj antimicrobials and resistance · 2026Review
- Predictors of Mortality inPathogens (Basel, Switzerland) · 2026Review
- Genomic variants distinguish Pseudomonas aeruginosa from cystic fibrosis sputum and bloodstream infection.BMC infectious diseases · 2026Article
- Targeted probe capture metagenomics-enabled surveillance of multidrug-resistant organisms and antimicrobial resistance genes in post-handwashing areas of public washrooms.Environmental microbiome · 2025Article
- Detection of the ST111 Global High-RiskCurrent issues in molecular biology · 2025Article
Corrections and comments
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Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPseudomonas aeruginosa (PA) bloodstream infection (BSI) is a common healthcare-associated complication linked to antimicrobial resistance and high mortality. Ongoing clinical trials are exploring novel anti-virulence agents, yet studies on how bacterial virulence affects PA infection outcomes is conflicting and data from real-world clinical populations is limited.
methodsWe studied a multicentre cohort of 773 adult patients with PA BSI consecutively collected during 7-years from sites in Europe and Australia. Comprehensive clinical data and whole-genome sequencing of all bacterial strains were obtained.
resultsBased on the virulence genotype, we identify several virulence clusters, each showing varying proportions of multidrug-resistant phenotypes. Genes tied to biofilm synthesis and epidemic clones ST175 and ST235 are associated with mortality, while the type III secretion system is associated with septic shock. Adding genomic biomarkers to machine learning models based on clinical data indicates improved prediction of severe outcomes in PA BSI patients.
conclusionsThese findings suggest that virulence markers provide prognostic information with potential applications in guiding adjuvant sepsis treatments.
Identifiers
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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 Socratic graph.