Impact of Difficult-to-Treat Resistance in Gram-negative Bacteremia on Mortality: Retrospective Analysis of Nationwide Surveillance Data

Abstract Background Clinically relevant categorization of antimicrobial resistance is critical to mitigating the threat it poses. Difficult-to-treat resistance (DTR) is a recently proposed category defined as nonsusceptibility to all first-line antibiotic agents. Methods A retrospective study was co...

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Veröffentlicht in:Clinical infectious diseases 2020-12, Vol.71 (9), p.e487-e496
Hauptverfasser: Huh, Kyungmin, Chung, Doo Ryeon, Ha, Young Eun, Ko, Jae-Hoon, Kim, Si-Ho, Kim, Min-Ji, Huh, Hee Jae, Lee, Nam Yong, Cho, Sun Young, Kang, Cheol-In, Peck, Kyong Ran, Song, Jae-Hoon
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container_end_page e496
container_issue 9
container_start_page e487
container_title Clinical infectious diseases
container_volume 71
creator Huh, Kyungmin
Chung, Doo Ryeon
Ha, Young Eun
Ko, Jae-Hoon
Kim, Si-Ho
Kim, Min-Ji
Huh, Hee Jae
Lee, Nam Yong
Cho, Sun Young
Kang, Cheol-In
Peck, Kyong Ran
Song, Jae-Hoon
description Abstract Background Clinically relevant categorization of antimicrobial resistance is critical to mitigating the threat it poses. Difficult-to-treat resistance (DTR) is a recently proposed category defined as nonsusceptibility to all first-line antibiotic agents. Methods A retrospective study was conducted with nonduplicate cases of gram-negative bloodstream infection (GNBSI) caused by 4 major taxa (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter species) identified from a nationwide surveillance database. DTR was defined as nonsusceptibility to all the β-lactams and fluoroquinolones tested. Patient characteristics and mortality were compared between DTR GNBSI and GNBSI caused by carbapenem-resistant but not DTR and extended-spectrum cephalosporin–resistant but not DTR isolates using Centers for Disease Control and Prevention definitions. Adjusted odds ratios (aORs) for 30-day in-hospital mortality were examined for DTR in overall and in propensity score–matched cohorts. Results A total of 1167 episodes of monomicrobial GNBSI were identified, and 147 (12.6%) of the isolates were DTR. The majority of DTR isolates were Acinetobacter species (79.6%) and P. aeruginosa (17.7%). DTR infections were associated with previous antibiotic use, healthcare contact, ventilator use, and lower respiratory tract infection. Crude mortality for GNBSI caused by DTR was 50.3%. A multivariable model showed that only DTR, but not other categories, was significantly associated with mortality (adjusted odds ratio [aOR], 3.58 [95% confidence interval {CI}, 1.27–10.19]). DTR was also a significant predictor for mortality in the analysis of propensity score–matched cohorts (aOR, 3.48 [95% CI, 1.82–6.79]). Conclusions In patients with GNBSI, DTR was associated with higher mortality than those in other resistance categories. Our findings suggest that DTR could be useful for surveillance and prognostication. In this retrospective analysis of nationwide surveillance data, bloodstream infections caused by gram-negative bacteria resistant to all β-lactams and fluoroquinolones (difficult-to-treat resistance) were associated with an increased risk of 30-day in-hospital mortality.
doi_str_mv 10.1093/cid/ciaa084
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Difficult-to-treat resistance (DTR) is a recently proposed category defined as nonsusceptibility to all first-line antibiotic agents. Methods A retrospective study was conducted with nonduplicate cases of gram-negative bloodstream infection (GNBSI) caused by 4 major taxa (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter species) identified from a nationwide surveillance database. DTR was defined as nonsusceptibility to all the β-lactams and fluoroquinolones tested. Patient characteristics and mortality were compared between DTR GNBSI and GNBSI caused by carbapenem-resistant but not DTR and extended-spectrum cephalosporin–resistant but not DTR isolates using Centers for Disease Control and Prevention definitions. Adjusted odds ratios (aORs) for 30-day in-hospital mortality were examined for DTR in overall and in propensity score–matched cohorts. Results A total of 1167 episodes of monomicrobial GNBSI were identified, and 147 (12.6%) of the isolates were DTR. The majority of DTR isolates were Acinetobacter species (79.6%) and P. aeruginosa (17.7%). DTR infections were associated with previous antibiotic use, healthcare contact, ventilator use, and lower respiratory tract infection. Crude mortality for GNBSI caused by DTR was 50.3%. A multivariable model showed that only DTR, but not other categories, was significantly associated with mortality (adjusted odds ratio [aOR], 3.58 [95% confidence interval {CI}, 1.27–10.19]). DTR was also a significant predictor for mortality in the analysis of propensity score–matched cohorts (aOR, 3.48 [95% CI, 1.82–6.79]). Conclusions In patients with GNBSI, DTR was associated with higher mortality than those in other resistance categories. Our findings suggest that DTR could be useful for surveillance and prognostication. In this retrospective analysis of nationwide surveillance data, bloodstream infections caused by gram-negative bacteria resistant to all β-lactams and fluoroquinolones (difficult-to-treat resistance) were associated with an increased risk of 30-day in-hospital mortality.</description><identifier>ISSN: 1058-4838</identifier><identifier>EISSN: 1537-6591</identifier><identifier>DOI: 10.1093/cid/ciaa084</identifier><identifier>PMID: 31994704</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Anti-Bacterial Agents - therapeutic use ; Bacteremia - drug therapy ; Bacteremia - epidemiology ; Carbapenems ; Drug Resistance, Bacterial ; Fluoroquinolones ; Gram-Negative Bacteria ; Gram-Negative Bacterial Infections - drug therapy ; Gram-Negative Bacterial Infections - epidemiology ; Humans ; Immunology ; Infectious Diseases ; Life Sciences &amp; Biomedicine ; Microbial Sensitivity Tests ; Microbiology ; Retrospective Studies ; Science &amp; Technology</subject><ispartof>Clinical infectious diseases, 2020-12, Vol.71 (9), p.e487-e496</ispartof><rights>The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>61</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000605984800015</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c357t-a0a22582a591925999471bb800f16dd5cf19e122350a54a30ead78ec06fad3c3</citedby><cites>FETCH-LOGICAL-c357t-a0a22582a591925999471bb800f16dd5cf19e122350a54a30ead78ec06fad3c3</cites><orcidid>0000-0002-7464-9780 ; 0000-0002-5140-3964</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,1586,27933,27934,28257</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31994704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huh, Kyungmin</creatorcontrib><creatorcontrib>Chung, Doo Ryeon</creatorcontrib><creatorcontrib>Ha, Young Eun</creatorcontrib><creatorcontrib>Ko, Jae-Hoon</creatorcontrib><creatorcontrib>Kim, Si-Ho</creatorcontrib><creatorcontrib>Kim, Min-Ji</creatorcontrib><creatorcontrib>Huh, Hee Jae</creatorcontrib><creatorcontrib>Lee, Nam Yong</creatorcontrib><creatorcontrib>Cho, Sun Young</creatorcontrib><creatorcontrib>Kang, Cheol-In</creatorcontrib><creatorcontrib>Peck, Kyong Ran</creatorcontrib><creatorcontrib>Song, Jae-Hoon</creatorcontrib><creatorcontrib>Korean Antimicrobial Resistance Su</creatorcontrib><creatorcontrib>Korean Antimicrobial Resistance Surveillance Network (KARS-Net) Investigators</creatorcontrib><title>Impact of Difficult-to-Treat Resistance in Gram-negative Bacteremia on Mortality: Retrospective Analysis of Nationwide Surveillance Data</title><title>Clinical infectious diseases</title><addtitle>CLIN INFECT DIS</addtitle><addtitle>Clin Infect Dis</addtitle><description>Abstract Background Clinically relevant categorization of antimicrobial resistance is critical to mitigating the threat it poses. Difficult-to-treat resistance (DTR) is a recently proposed category defined as nonsusceptibility to all first-line antibiotic agents. Methods A retrospective study was conducted with nonduplicate cases of gram-negative bloodstream infection (GNBSI) caused by 4 major taxa (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter species) identified from a nationwide surveillance database. DTR was defined as nonsusceptibility to all the β-lactams and fluoroquinolones tested. Patient characteristics and mortality were compared between DTR GNBSI and GNBSI caused by carbapenem-resistant but not DTR and extended-spectrum cephalosporin–resistant but not DTR isolates using Centers for Disease Control and Prevention definitions. Adjusted odds ratios (aORs) for 30-day in-hospital mortality were examined for DTR in overall and in propensity score–matched cohorts. Results A total of 1167 episodes of monomicrobial GNBSI were identified, and 147 (12.6%) of the isolates were DTR. The majority of DTR isolates were Acinetobacter species (79.6%) and P. aeruginosa (17.7%). DTR infections were associated with previous antibiotic use, healthcare contact, ventilator use, and lower respiratory tract infection. Crude mortality for GNBSI caused by DTR was 50.3%. A multivariable model showed that only DTR, but not other categories, was significantly associated with mortality (adjusted odds ratio [aOR], 3.58 [95% confidence interval {CI}, 1.27–10.19]). DTR was also a significant predictor for mortality in the analysis of propensity score–matched cohorts (aOR, 3.48 [95% CI, 1.82–6.79]). Conclusions In patients with GNBSI, DTR was associated with higher mortality than those in other resistance categories. Our findings suggest that DTR could be useful for surveillance and prognostication. In this retrospective analysis of nationwide surveillance data, bloodstream infections caused by gram-negative bacteria resistant to all β-lactams and fluoroquinolones (difficult-to-treat resistance) were associated with an increased risk of 30-day in-hospital mortality.</description><subject>Anti-Bacterial Agents - therapeutic use</subject><subject>Bacteremia - drug therapy</subject><subject>Bacteremia - epidemiology</subject><subject>Carbapenems</subject><subject>Drug Resistance, Bacterial</subject><subject>Fluoroquinolones</subject><subject>Gram-Negative Bacteria</subject><subject>Gram-Negative Bacterial Infections - drug therapy</subject><subject>Gram-Negative Bacterial Infections - epidemiology</subject><subject>Humans</subject><subject>Immunology</subject><subject>Infectious Diseases</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Microbial Sensitivity Tests</subject><subject>Microbiology</subject><subject>Retrospective Studies</subject><subject>Science &amp; 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Chung, Doo Ryeon ; Ha, Young Eun ; Ko, Jae-Hoon ; Kim, Si-Ho ; Kim, Min-Ji ; Huh, Hee Jae ; Lee, Nam Yong ; Cho, Sun Young ; Kang, Cheol-In ; Peck, Kyong Ran ; Song, Jae-Hoon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-a0a22582a591925999471bb800f16dd5cf19e122350a54a30ead78ec06fad3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anti-Bacterial Agents - therapeutic use</topic><topic>Bacteremia - drug therapy</topic><topic>Bacteremia - epidemiology</topic><topic>Carbapenems</topic><topic>Drug Resistance, Bacterial</topic><topic>Fluoroquinolones</topic><topic>Gram-Negative Bacteria</topic><topic>Gram-Negative Bacterial Infections - drug therapy</topic><topic>Gram-Negative Bacterial Infections - epidemiology</topic><topic>Humans</topic><topic>Immunology</topic><topic>Infectious Diseases</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Microbial Sensitivity Tests</topic><topic>Microbiology</topic><topic>Retrospective Studies</topic><topic>Science &amp; Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huh, Kyungmin</creatorcontrib><creatorcontrib>Chung, Doo Ryeon</creatorcontrib><creatorcontrib>Ha, Young Eun</creatorcontrib><creatorcontrib>Ko, Jae-Hoon</creatorcontrib><creatorcontrib>Kim, Si-Ho</creatorcontrib><creatorcontrib>Kim, Min-Ji</creatorcontrib><creatorcontrib>Huh, Hee Jae</creatorcontrib><creatorcontrib>Lee, Nam Yong</creatorcontrib><creatorcontrib>Cho, Sun Young</creatorcontrib><creatorcontrib>Kang, Cheol-In</creatorcontrib><creatorcontrib>Peck, Kyong Ran</creatorcontrib><creatorcontrib>Song, Jae-Hoon</creatorcontrib><creatorcontrib>Korean Antimicrobial Resistance Su</creatorcontrib><creatorcontrib>Korean Antimicrobial Resistance Surveillance Network (KARS-Net) Investigators</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huh, Kyungmin</au><au>Chung, Doo Ryeon</au><au>Ha, Young Eun</au><au>Ko, Jae-Hoon</au><au>Kim, Si-Ho</au><au>Kim, Min-Ji</au><au>Huh, Hee Jae</au><au>Lee, Nam Yong</au><au>Cho, Sun Young</au><au>Kang, Cheol-In</au><au>Peck, Kyong Ran</au><au>Song, Jae-Hoon</au><aucorp>Korean Antimicrobial Resistance Su</aucorp><aucorp>Korean Antimicrobial Resistance Surveillance Network (KARS-Net) Investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of Difficult-to-Treat Resistance in Gram-negative Bacteremia on Mortality: Retrospective Analysis of Nationwide Surveillance Data</atitle><jtitle>Clinical infectious diseases</jtitle><stitle>CLIN INFECT DIS</stitle><addtitle>Clin Infect Dis</addtitle><date>2020-12-03</date><risdate>2020</risdate><volume>71</volume><issue>9</issue><spage>e487</spage><epage>e496</epage><pages>e487-e496</pages><issn>1058-4838</issn><eissn>1537-6591</eissn><abstract>Abstract Background Clinically relevant categorization of antimicrobial resistance is critical to mitigating the threat it poses. Difficult-to-treat resistance (DTR) is a recently proposed category defined as nonsusceptibility to all first-line antibiotic agents. Methods A retrospective study was conducted with nonduplicate cases of gram-negative bloodstream infection (GNBSI) caused by 4 major taxa (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter species) identified from a nationwide surveillance database. DTR was defined as nonsusceptibility to all the β-lactams and fluoroquinolones tested. Patient characteristics and mortality were compared between DTR GNBSI and GNBSI caused by carbapenem-resistant but not DTR and extended-spectrum cephalosporin–resistant but not DTR isolates using Centers for Disease Control and Prevention definitions. Adjusted odds ratios (aORs) for 30-day in-hospital mortality were examined for DTR in overall and in propensity score–matched cohorts. Results A total of 1167 episodes of monomicrobial GNBSI were identified, and 147 (12.6%) of the isolates were DTR. The majority of DTR isolates were Acinetobacter species (79.6%) and P. aeruginosa (17.7%). DTR infections were associated with previous antibiotic use, healthcare contact, ventilator use, and lower respiratory tract infection. Crude mortality for GNBSI caused by DTR was 50.3%. A multivariable model showed that only DTR, but not other categories, was significantly associated with mortality (adjusted odds ratio [aOR], 3.58 [95% confidence interval {CI}, 1.27–10.19]). DTR was also a significant predictor for mortality in the analysis of propensity score–matched cohorts (aOR, 3.48 [95% CI, 1.82–6.79]). Conclusions In patients with GNBSI, DTR was associated with higher mortality than those in other resistance categories. Our findings suggest that DTR could be useful for surveillance and prognostication. In this retrospective analysis of nationwide surveillance data, bloodstream infections caused by gram-negative bacteria resistant to all β-lactams and fluoroquinolones (difficult-to-treat resistance) were associated with an increased risk of 30-day in-hospital mortality.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>31994704</pmid><doi>10.1093/cid/ciaa084</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7464-9780</orcidid><orcidid>https://orcid.org/0000-0002-5140-3964</orcidid><oa>free_for_read</oa></addata></record>
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subjects Anti-Bacterial Agents - therapeutic use
Bacteremia - drug therapy
Bacteremia - epidemiology
Carbapenems
Drug Resistance, Bacterial
Fluoroquinolones
Gram-Negative Bacteria
Gram-Negative Bacterial Infections - drug therapy
Gram-Negative Bacterial Infections - epidemiology
Humans
Immunology
Infectious Diseases
Life Sciences & Biomedicine
Microbial Sensitivity Tests
Microbiology
Retrospective Studies
Science & Technology
title Impact of Difficult-to-Treat Resistance in Gram-negative Bacteremia on Mortality: Retrospective Analysis of Nationwide Surveillance Data
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