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Two Artificial Tears Outbreak-Associated Cases of Extensively Drug-Resistant Pseudomonas aeruginosa Detected Through Whole Genome Sequencing-Based Surveillance.
Sundermann, Alexander J; Rangachar Srinivasa, Vatsala; Mills, Emma G; Griffith, Marissa P; Waggle, Kady D; Ayres, Ashley M; Pless, Lora; Snyder, Graham M; Harrison, Lee H; Van Tyne, Daria.
Affiliation
  • Sundermann AJ; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh.
  • Rangachar Srinivasa V; Division of Infectious Diseases, University of Pittsburgh School of Medicine.
  • Mills EG; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh.
  • Griffith MP; Division of Infectious Diseases, University of Pittsburgh School of Medicine.
  • Waggle KD; Department of Epidemiology, School of Public Health, University of Pittsburgh.
  • Ayres AM; Division of Infectious Diseases, University of Pittsburgh School of Medicine.
  • Pless L; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh.
  • Snyder GM; Division of Infectious Diseases, University of Pittsburgh School of Medicine.
  • Harrison LH; Department of Epidemiology, School of Public Health, University of Pittsburgh.
  • Van Tyne D; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh.
J Infect Dis ; 229(2): 517-521, 2024 Feb 14.
Article in En | MEDLINE | ID: mdl-37700467
ABSTRACT
We describe 2 cases of extensively drug-resistant Pseudomonas aeruginosa infection caused by a strain of public health concern, as it was recently associated with a nationwide outbreak of contaminated artificial tears. Both cases were detected through database review of genomes in the Enhanced Detection System for Hospital-Associated Transmission (EDS-HAT), a routine genome sequencing-based surveillance program. We generated a high-quality reference genome for the outbreak strain from an isolate from our center and examined the mobile elements encoding blaVIM-80 and bla-GES-9 carbapenemases. We used publicly available Pseudomonas aeruginosa genomes to explore the genetic relatedness and antimicrobial resistance genes of the outbreak strain.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudomonas aeruginosa / Pseudomonas Infections Type of study: Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Infect Dis Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudomonas aeruginosa / Pseudomonas Infections Type of study: Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Infect Dis Year: 2024 Type: Article