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...
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doaj-724e2a0349fe406db8ceb489c2caf3c42020-11-25T01:42:25ZengMDPI AGLife2075-17292020-02-011021610.3390/life10020016life10020016Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data AnalysisMárió Gajdács0Zoltán Bátori1Marianna Ábrók2Andrea Lázár3Katalin Burián4Department of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Eötvös utca 6., 6720 Szeged, HungaryDepartment of Ecology, Faculty of Sciences, University of Szeged, Közép fasor 52., 6726 Szeged, HungaryInstitute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Semmelweis utca 6., 6725 Szeged, HungaryInstitute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Semmelweis utca 6., 6725 Szeged, HungaryInstitute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Semmelweis utca 6., 6725 Szeged, HungaryClassical 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 2008.01.01−2017.12.31. 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%−4.7%. DTR: 7.3%−7.9%) than in <i>Enterobacterales</i> isolates (XDR: 0%−0.1%. DTR: 0.02%−1.5%). Conclusions: The introduction of DTR (and its’ 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.https://www.mdpi.com/2075-1729/10/2/16clinical microbiologyindicatorsurinary tract infectiongram-negativedrug resistanceusual drug resistancedifficult-to-treat resistanceudrdtrmdrxdrpdr |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Márió Gajdács Zoltán Bátori Marianna Ábrók Andrea Lázár Katalin Burián |
spellingShingle |
Márió Gajdács Zoltán Bátori Marianna Ábrók Andrea Lázár Katalin Burián Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis Life clinical microbiology indicators urinary tract infection gram-negative drug resistance usual drug resistance difficult-to-treat resistance udr dtr mdr xdr pdr |
author_facet |
Márió Gajdács Zoltán Bátori Marianna Ábrók Andrea Lázár Katalin Burián |
author_sort |
Márió Gajdács |
title |
Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis |
title_short |
Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis |
title_full |
Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis |
title_fullStr |
Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis |
title_full_unstemmed |
Characterization of Resistance in Gram-Negative Urinary Isolates Using Existing and Novel Indicators of Clinical Relevance: A 10-Year Data Analysis |
title_sort |
characterization of resistance in gram-negative urinary isolates using existing and novel indicators of clinical relevance: a 10-year data analysis |
publisher |
MDPI AG |
series |
Life |
issn |
2075-1729 |
publishDate |
2020-02-01 |
description |
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 2008.01.01−2017.12.31. 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%−4.7%. DTR: 7.3%−7.9%) than in <i>Enterobacterales</i> isolates (XDR: 0%−0.1%. DTR: 0.02%−1.5%). Conclusions: The introduction of DTR (and its’ 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. |
topic |
clinical microbiology indicators urinary tract infection gram-negative drug resistance usual drug resistance difficult-to-treat resistance udr dtr mdr xdr pdr |
url |
https://www.mdpi.com/2075-1729/10/2/16 |
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