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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Main Authors: Márió Gajdács, Zoltán Bátori, Marianna Ábrók, Andrea Lázár, Katalin Burián
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Life
Subjects:
udr
dtr
mdr
xdr
pdr
Online Access:https://www.mdpi.com/2075-1729/10/2/16
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spelling 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&#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.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&#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.
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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