Open AccessInfluence of analysis conditions for antimicrobial susceptibility test data on susceptibility rates
Author(s) -
Yasutoshi Hatsuda,
Toshihiko Ishizaka,
Naonori Koizumi,
Yukako Yasui,
Takako Saito,
Syou Maki,
Sachiko Omotani,
Junji Mukai,
Tomoya Tachi,
Hitomi Teramachi,
Michiaki Myotoku
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0235059
Subject(s) - pseudomonas aeruginosa , antibiotics , antimicrobial , klebsiella pneumoniae , medicine , antibiotic resistance , antimicrobial stewardship , microbiology and biotechnology , biology , bacteria , escherichia coli , biochemistry , genetics , gene
Background To support effective antibiotic selection in empirical treatments, infection control interventions, and antimicrobial resistance containment strategies, many medical institutions collect antimicrobial susceptibility test data conducted at their facilities to prepare cumulative antibiograms. Aim To evaluate how the setpoints of duplicate isolate removal period and data collection period affect the calculated susceptibility rates in antibiograms. Methods The Sakai City Medical Center is a regional core hospital for tertiary emergency medical care with 480 beds for general clinical care. In this study, all the Pseudomonas aeruginosa , Escherichia coli , and Klebsiella pneumoniae isolates collected at the Sakai City Medical Center Clinical Laboratory between July 2013 and December 2018 were subjected to antimicrobial susceptibility tests and the resulting data was analyzed. Findings The longer the duplicate isolate removal period, the fewer the isolates are available for every bacterial species. Differences in the length of the duplicate isolate removal period affected P . aeruginosa susceptibility rates to β-lactam antibiotics by up to 10.8%. The setpoint of the data collection period affected the antimicrobial susceptibility rates by up to 7.3%. We found that a significant change in susceptibility could be missed depending on the setting of the data collection period, in preparing antibiogram of β-lactam antibiotics for P . aeruginosa . Conclusions When referring to antibiograms, medical professionals involved in infectious disease treatment should be aware that the parameter values, such as the duplicate isolate removal period and the data collection period, affect P . aeruginosa susceptibility rates especially to β-lactam antibiotics. And antibiogram should be updated within the shortest time period that is practically possible, taking into account restrictions such as numbers of specimen.