Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis

Classical resistance classifications (multidrug resistance [MDR], extensive drug resistance [XDR], pan-drug resistance [PDR]) are very useful for epidemiological purposes, however, they may not correlate well with clinical outcomes, therefore, several novel classification criteria (e.g., usual drug resistance [UDR], difficult-to-treat resistance [DTR]) were introduced for Gram-negative bacteria in recent years. Microbiological and resistance data was collected for urinary tract infections (UTIs) retrospectively, corresponding to the 2008.01.01&#8722;2017.12.31. period. Isolates were classified into various resistance categories (wild type/susceptible, UDR, MDR, XDR, DTR and PDR), in addition, two new indicators (modified DTR; mDTR and mcDTR) and a predictive composite score (pMAR) were introduced. Results: n = 16,240 (76.8%) outpatient and n = 13,386 (69.3%) inpatient UTI isolates were relevant to our analysis. <i>Citrobacter-Enterobacter-Serratia</i> had the highest level of UDR isolates (88.9%), the <i>Proteus-Providencia-Morganella</i> group had the highest mDTR levels. MDR levels were highest in <i>Acinetobacter</i> spp. (9.7%) and <i>Proteus-Providencia-Morganella</i> (9.1%). XDR- and DTR-levels were higher in non-fermenters (XDR: 1.7%&#8722;4.7%. DTR: 7.3%&#8722;7.9%) than in <i>Enterobacterales</i> isolates (XDR: 0%&#8722;0.1%. DTR: 0.02%&#8722;1.5%). Conclusions: The introduction of DTR (and its&#8217; modifications detailed in this study) to the bedside and in clinical practice will definitely lead to substantial benefits in the assessment of the significance of bacterial resistance in human therapeutics.

Abstract licence: CC BY

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