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

• Main Authors: Anushia Ashokan, Josh Hanson, Ne Myo Aung, Mar Mar Kyi, Steven L. Taylor, Jocelyn M. Choo, Erin Flynn, Fredrick Mobegi, Morgyn S. Warner, Steve L. Wesselingh, Mark A. Boyd, Geraint B. Rogers
• Format: Article
• Language: English
• Published: BMC 2021-03-01
• Series: Antimicrobial Resistance and Infection Control
• Subjects: Antibiotic resistance; Metagenomics; Resource-limited settings; Healthcare; Resistome dispersion
• Online Access: https://doi.org/10.1186/s13756-021-00915-w

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 < 0.003), trimethoprim resistance (dfrA14, adjusted p = 0.0495), and chloramphenicol resistance (catB3, adjusted p = 0.002). Clinical traits of co-located patients carrying specific AMR genes were not random. Specifically, AMR genes that contributed to distance-resistome relationships (OXA-1, catB3, dfrA14) mapped to tuberculosis patients, who were placed together according to ward policy. In contrast, patients with sepsis were not placed together, and carried AMR genes that were not spatially significant or consistent with shared antibiotic exposure. 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.