Metapopulation ecology links antibiotic resistance, consumption and patient transfers in a network of hospital wards
Julie Teresa Shapiro, et al.
Received Date: 27th August 19
Julie Teresa Shapiro, Gilles Leboucher, Anne-Florence Myard-Dury, Pascale Girardo, Anatole Luzatti, Mélissa Mary, Jean-François Sauzon, Bénédicte Lafay, Olivier Dauwalder, Frédéric Laurent, Gérard Lina, Christian Chidiac, Sandrine Couray-Targe, François Vandenesch, Jean-Pierre Flandrois, Jean-Philippe Rasigade
Antimicrobial resistance (AMR) is a global threat. A better understanding of how antibiotic use and between-ward patient transfers (or connectivity) impact hospital AMR can help optimize antibiotic stewardship and infection control strategies. Here, we used metapopulation ecology to explain variations in infection incidences of 17 ESKAPE pathogen variants in a network of 357 hospital wards. Multivariate models identified the strongest influence of ward-level antibiotic use on more resistant variants, and of connectivity on nosocomial species and carbapenem-resistant variants. Pairwise associations between infection incidence and the consumption of specific antibiotics were significantly stronger when such associations represented a priori AMR selection, suggesting that AMR evolves within the network. Piperacillin-tazobactam consumption was the strongest predictor of the cumulative incidence of infections resistant to empirical sepsis therapy. Our data establish that both antibiotic use and connectivity measurably influence hospital AMR and provide a ranking of key antibiotics by their impact on AMR.
Read in full at bioRxiv.
This is an abstract of a preprint hosted on an independent third party site. It has not been peer reviewed but is currently under consideration at Nature Communications.