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Diagnostic prediction tools for bacteraemia caused by 3rd generation cephalosporin-resistant Enterobacteriaceae in suspected bacterial infections: a nested case-control study

View ORCID ProfileWouter C. Rottier, View ORCID ProfileCornelis H. van Werkhoven, Yara R. P. Bamberg, J. Wendelien Dorigo-Zetsma, Ewoudt M. van de Garde, Babette C. van Hees, Jan A. J. W. Kluytmans, Emile M Kuck, Paul D. van der Linden, Jan M. Prins, Steven F. T. Thijsen, Annelies Verbon, Bart J. M. Vlaminckx, Heidi S M Ammerlaan, Marc J. M. Bonten
doi: https://doi.org/10.1101/120550
Wouter C. Rottier
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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  • ORCID record for Wouter C. Rottier
Cornelis H. van Werkhoven
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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  • ORCID record for Cornelis H. van Werkhoven
Yara R. P. Bamberg
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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J. Wendelien Dorigo-Zetsma
3Central Laboratory for Bacteriology and Serology, Tergooi Hospitals, Hilversum, the Netherlands
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Ewoudt M. van de Garde
5Department of Clinical Pharmacy, St. Antonius Hospital, Utrecht/Nieuwegein, The Netherlands
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Babette C. van Hees
7Department of Medical Microbiology and Infection Control, Gelre Hospitals, Apeldoorn, the Netherlands
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Jan A. J. W. Kluytmans
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
8Department of Medical Microbiology and Infection Control, Amphia Hospital, Breda, the Netherlands
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Emile M Kuck
9Department of Hospital Pharmacy, Immunology, Diakonessenhuis, Utrecht, the Netherlands
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Paul D. van der Linden
4Department of Clinical Pharmacy, Tergooi Hospitals, Hilversum, the Netherlands
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Jan M. Prins
11Department of Internal Medicine, Academic Medical Center, Amsterdam, the Netherlands
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Steven F. T. Thijsen
10Department of Medical Microbiology and Immunology, Diakonessenhuis, Utrecht, the Netherlands
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Annelies Verbon
12Department of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, the Netherlands.
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Bart J. M. Vlaminckx
6Department of Medical Microbiology and Immunology, St. Antonius Hospital, Utrecht/Nieuwegein, The Netherlands
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Heidi S M Ammerlaan
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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Marc J. M. Bonten
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
2Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands
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Abstract

Objectives Current antibiotic treatment guidelines on when to consider 3rd generation cephalosporin resistant Enterobacteriaceae (3GC-R EB) as a cause of infection have low specificity, thereby increasing unnecessary carbapenem use. Therefore, we aimed to develop new diagnostic scoring systems to direct initial carbapenem treatment to patients at risk of 3GC-R EB bacteraemia.

Methods A retrospective nested case-control study was performed that included patients ≥18 years from 8 Dutch hospitals in whom blood cultures were obtained and intravenous antibiotics were initiated. Patients with 3GC-R EB bacteraemia were each matched to four control infection episodes within the same hospital, based on blood culture date and onset location (community or hospital). Starting from 32 commonly described clinical risk factors available at infection onset, selection strategies were used to derive scoring systems for the probability of community‐ and hospital-onset 3GC-R EB bacteraemia.

Results Among 22,506 community-onset and 8,110 hospital-onset infections, respectively 90 (0.4%) and 82 (1.0%) were 3GC-R EB bacteraemias. As control populations, 360 community-onset and 328 hospital-onset infection episodes were included. The derived community-onset and hospital-onset scoring system consisted of 6 and 9 predictors, respectively, and both showed good discrimination with c-statistics of 0.807 and 0.842. Cutoffs for the scores could be chosen such that ~20% of patients would be eligible for empirical carbapenem treatment, which would capture ~70% of those with 3GC-R EB bacteraemia.

Conclusions These prediction rules for 3GC-R EB bacteraemia, specifically geared towards the initiation of empiric antibiotic treatment, may improve the balance between inappropriate antibiotics and carbapenem overuse.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 10, 2017.
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Diagnostic prediction tools for bacteraemia caused by 3rd generation cephalosporin-resistant Enterobacteriaceae in suspected bacterial infections: a nested case-control study
Wouter C. Rottier, Cornelis H. van Werkhoven, Yara R. P. Bamberg, J. Wendelien Dorigo-Zetsma, Ewoudt M. van de Garde, Babette C. van Hees, Jan A. J. W. Kluytmans, Emile M Kuck, Paul D. van der Linden, Jan M. Prins, Steven F. T. Thijsen, Annelies Verbon, Bart J. M. Vlaminckx, Heidi S M Ammerlaan, Marc J. M. Bonten
bioRxiv 120550; doi: https://doi.org/10.1101/120550
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Diagnostic prediction tools for bacteraemia caused by 3rd generation cephalosporin-resistant Enterobacteriaceae in suspected bacterial infections: a nested case-control study
Wouter C. Rottier, Cornelis H. van Werkhoven, Yara R. P. Bamberg, J. Wendelien Dorigo-Zetsma, Ewoudt M. van de Garde, Babette C. van Hees, Jan A. J. W. Kluytmans, Emile M Kuck, Paul D. van der Linden, Jan M. Prins, Steven F. T. Thijsen, Annelies Verbon, Bart J. M. Vlaminckx, Heidi S M Ammerlaan, Marc J. M. Bonten
bioRxiv 120550; doi: https://doi.org/10.1101/120550

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