Characterizing non-linear effects of hospitalisation duration on antimicrobial resistance in respiratory isolates: an analysis of a prospective nationwide surveillance system R. Sommerstein, A. Atkinson, E.F. Lo Priore, A. Kronenberg, J. Marschall A. Burnens, A. Cherkaoui, O. Dubuis, A. Egli, V. Gaia, D. Koch, A. Kronenberg, S.L. Leib, S. Luyet, P. Nordmann, V. Perreten, J.-C. Piffaretti, G. Prod’hom, J. Schrenzel, A.F. Widmer, G. Zanetti, R. Zbinden R. Sommerstein, A. Atkinson, E.F. Lo Priore, A. Kronenberg, J. Marschall A. Burnens, A. Cherkaoui, O. Dubuis, A. Egli, V. Gaia, D. Koch, A. Kronenberg, S.L. Leib, S. Luyet, P. Nordmann, V. Perreten, J.-C. Piffaretti, G. Prod’hom, J. Schrenzel, A.F. Widmer, G. Zanetti, R. Zbinden Clinical Microbiology and Infection Volume 24, Issue 1, Pages 45-52 (January 2018) DOI: 10.1016/j.cmi.2017.05.018 Copyright © 2017 European Society of Clinical Microbiology and Infectious Diseases Terms and Conditions
Clinical Microbiology and Infection 2018 24, 45-52DOI: (10.1016/j.cmi.2017.05.018) Copyright © 2017 European Society of Clinical Microbiology and Infectious Diseases Terms and Conditions
Fig. 1 Flowchart of isolates included in the study. Clinical Microbiology and Infection 2018 24, 45-52DOI: (10.1016/j.cmi.2017.05.018) Copyright © 2017 European Society of Clinical Microbiology and Infectious Diseases Terms and Conditions
Fig. 2 Included isolates, stratified by species, relative to hospitalisation duration. The distribution of the species is projected to the y-axis (%). Additionally, each bar contains the value (absolute number) of species recovered on the day indicated. Clinical Microbiology and Infection 2018 24, 45-52DOI: (10.1016/j.cmi.2017.05.018) Copyright © 2017 European Society of Clinical Microbiology and Infectious Diseases Terms and Conditions
Fig. 3 Illustration of the resistance rates for relevant lower respiratory tract species—relative to hospitalisation duration. Unadjusted generalized additive model of antibiotic resistance rates and 95% CI per hospitalisation day are shown for Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumoniae, Enterobacter spp. and Streptococcus pneumoniae. Clinical Microbiology and Infection 2018 24, 45-52DOI: (10.1016/j.cmi.2017.05.018) Copyright © 2017 European Society of Clinical Microbiology and Infectious Diseases Terms and Conditions