Investigating potential transmission of antimicrobial resistance in an open-plan hospital ward: a cross-sectional metagenomic study of resistome dispersion in a lower middle-income setting
Ashokan A, Hanson J, Aung NM, Kyi MM, Taylor SL, Choo JM, Flynn E, Mobegi F, et al. (12 authors)
Antimicrobial resistance and infection control · 2021-03
Abstract
Background Antimicrobial resistance (AMR) represents a profound global health threat. Reducing AMR spread requires the identification of transmission pathways. The extent to which hospital wards represent a venue for substantial AMR transmission in low- and middle-income countries settings is poorly understood. Methods Rectal swabs were obtained from adult male inpatients in a "Nightingale" model general medicine ward in Yangon, Myanmar. Resistome characteristics were characterised by metagenomic sequencing. AMR gene carriage was related to inter-patient distance (representing inter-patient interaction) using distance-based linear models. Clinical predictors of AMR patterns were identified through univariate and multivariate regression. Results Resistome similarity showed a weak but significant positive correlation with inter-patient distance (r = 0.12, p = 0.04). Nineteen AMR determinants contributed significantly to this relationship, including those encoding β-lactamase activity (OXA-1, NDM-7; adjusted p Conclusions AMR dispersion patterns primarily reflect the placement of particular patients by their condition, rather than AMR transmission. The proportion of AMR determinants that varied with inter-patient distance was limited, suggesting that nosocomial transmission is a relatively minor contributor to population-level carriage.
MeSH terms
- Humans
- Tuberculosis
- Sepsis
- Anti-Bacterial Agents
- Cross-Sectional Studies
- Infection Control
- Drug Resistance, Multiple, Bacterial
- Developing Countries
- Adolescent
- Adult
- Aged
- Middle Aged
- Inpatients
- Hospitals, Teaching
- Patients' Rooms
- Hospitals
- Hospitals, Public
- Myanmar
- Male
- Young Adult
- Metagenomics
- Tertiary Care Centers
- Spatial Analysis