Highlights
- •The J-SIPHE system enabled multicenter analysis of antibiotic use and resistance.
- •Carbapenem use correlated with carbapenem-resistant P. aeruginosa occurrence.
- •Quinolone use correlated with fluoroquinolone-resistant E. coli occurrence.
Abstract
Background
The Japan Surveillance for Infection Prevention and Healthcare Epidemiology (J-SIPHE)
system aggregates information related to antimicrobial resistance (AMR) measures in
participating medical institutions nationwide and is intended to be used for promotion
of AMR measures in participating facilities and their communities. This multicenter
study aimed to determine the usefulness of the J-SIPHE system for evaluating the correlation
between antibiotic use and antibiotic resistance in Hokkaido, Japan.
Methods
Data on antibiotic use and detection rate of major resistant Gram-negative bacteria
at 19 hospitals in 2020 were collected from the J-SIPHE system, and data correlations
were analyzed using JMP Pro.
Results
The detection rate of carbapenem-resistant Pseudomonas aeruginosa was significantly positively correlated with carbapenem use (Spearman's ρ = 0.551;
P = .015). There were significant positive correlations between the detection rate
of fluoroquinolone-resistant Escherichia coli and the use of piperacillin/tazobactam, carbapenems, and quinolones [ρ = 0.518 (P = .023), ρ = 0.76 (P < .001), and ρ = 0.502 (P = .029), respectively].
Conclusions
This is the first multicenter study to investigate the correlation between antibiotic
use and antibiotic resistance using the J-SIPHE system. The results suggest that using
this system may be beneficial for promoting AMR measures.
Key Words
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Article info
Publication history
Published online: June 04, 2022
Footnotes
Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflicts of interest: All authors have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Identification
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© 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
