Analysis of resistance trends in urinary Escherichia coli and Klebsiella spp. isolates using known and novel indicators of clinical relevance: a 10-year retrospective study
DOI: 10.22591/magyurol.2020.3.berczics
Authors:
Gajdács Márió dr.1, Ábrók Marianna2, Lázár Andrea dr.2, Burián Katalin dr.2,3
1Szegedi Tudományegyetem Gyógyszerésztudományi Kar, Gyógyszerhatástani és Biofarmáciai Intézet, Szeged (intézetvezető: Zupkó István dr.)
2Szegedi Tudományegyetem Általános Orvostudományi Kar, Klinikai Mikrobiológiai Diagnosztikai Intézet, Szeged (intézetvezető: Burián Katalin dr.)
3Szegedi Tudományegyetem Általános Orvostudományi Kar, Orvosi Mikrobiológiai és Immunbiológiai Intézet, Szeged (intézetvezető: Burián Katalin)
Summary
Introduction: The emergence and spread of antibiotic-resistant bacterial pathogens worldwide is one of the most important public health problems. A number of new bacterial resistance criteria have been published in recent years to improve the correlation between resistance data and clinical outcome.
Materials and methods: This study retrospectively collected microbiological and resistance data for the period of January 1, 2008-December 31, 2008 (10 years) at the Institute of Clinical Microbiology, University of Szeged. During data analysis, bacterial isolates were classified into various resistance categories (wild type, UDR, MDR, XDR, PDR, and DTR and mDTR). Results: Gram-negative bacteria were isolated from n=16,240 (76.8%) of outpatient samples and n=13,386 (69.3%) of inpatient samples during the 10-year study period (p=0.038). For E. coli isolates, 34.1–39.4% of the strains in total were wild-type, while for Klebsiella spp. strains, this ratio was 40.4–45.7%. The prevalence of UDR isolates for E. coli isolates was lowest in 2013 and highest in 2011, while for Klebsiella spp., this was the lowest in 2017 and the highest in 2011/2013.
Conclusions: In addition to its clinical-centered philosophy, the use of DTR (and its modifications as detailed in this study) in bedside and clinical practice may have significant benefits in terms of clinical data.