Influence of analysis conditions for antimicrobial susceptibility test data on susceptibility rates

Abstract

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.

Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling

“…On 1 July 2015, Sakai City Medical Center was moved to its current location, approximately 3.5 km away from its original location, a relocation that led to a significant turnover of outpatients and inpatients; the bacterial flora inhabiting the centre and its surroundings is also likely to have changed significantly. 15 , 16 We confirmed the impact of the hospital relocation on bacterial flora 17 and found that it is feasible to visualize and capture the changes in CRRs using CRR diagrams. 18 …”