Study Protocol for Genomic Epidemiology Investigation of Intensive Care Unit Patient Colonization by
Andrey Shelenkov1, Oksana Ni2, Irina Morozova3
1Central Research Institute of Epidemiology, Novogireevskaya Str., 3a, 111123 Moscow, Russia.
ESKAPE bacteria pose a significant threat due to antibiotic resistance. This study details a whole-genome sequencing protocol to track antimicrobial-resistant (AMR) pathogen colonization in intensive care unit (ICU) patients.
Area of Science:
- Microbiology
- Genomics
- Infectious Diseases
Background:
- ESKAPE pathogens are a leading cause of healthcare-associated infections.
- Rapid acquisition of antimicrobial resistance (AMR) by these bacteria necessitates robust surveillance.
- Understanding colonization dynamics is crucial for preventing severe infections in intensive care units (ICUs).
Purpose of the Study:
- To present a comprehensive protocol for characterizing AMR pathogen colonization in ICU patients.
- To identify risk factors associated with resistant microflora acquisition.
- To analyze the spread and mechanisms of antibiotic resistance using whole-genome sequencing (WGS).
Main Methods:
- Collection of rectal/oropharyngeal swabs or respiratory samples from ICU patients.
- Cultivation, species identification, and antibiotic susceptibility testing.
- Whole-genome sequencing (WGS) of isolates to determine resistance genes, virulence factors, and typing profiles (MLST, cgMLST).
Main Results:
- Characterization of species distribution, phenotypic and genotypic resistance profiles, and clonal structure of AMR pathogens.
- Estimation of detection frequency and colonization patterns at different body sites.
- Identification of key risk factors, including prior exposures, associated with admission colonization.
Conclusions:
- The protocol provides a framework for detailed surveillance of AMR colonization in ICUs.
- WGS data enables comprehensive analysis of pathogen composition, resistance trends, and clonal characteristics.
- This approach aids in estimating AMR infection risk and severity in critically ill patients.
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