Evidence map›Paper›PMID 27025939›Full record

Observational studyIntensive care medicine2016

Impact of de-escalation of beta-lactam antibiotics on the emergence of antibiotic resistance in ICU patients: a retrospective observational study.

Liesbet De Bus, Wouter Denys, Julie Catteeuw, Bram Gadeyne, Karel Vermeulen, Jerina Boelens, Geert Claeys, Jan J De Waele, Johan Decruyenaere, Pieter O Depuydt

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Simplified Spectrum Score (SScientific reports · 2024
    Article
  8. Antimicrobial De-Escalation in Critically Ill Patients.Antibiotics (Basel, Switzerland) · 2024
    Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Modification of Initial Empirical Antibiotic Prescription and its Impact on Patient Outcome: Experience of an Indian Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Timing of antibiotic therapy in the ICU.Critical care (London, England) · 2021
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Liesbet De BusDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium. liesbet.debus@ugent.be.
Wouter DenysDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
Julie CatteeuwDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
Bram GadeyneDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
Karel VermeulenDepartment of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
Jerina BoelensDepartment of Laboratory Medicine, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
Geert ClaeysDepartment of Laboratory Medicine, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
Jan J De WaeleDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
Johan DecruyenaereDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
Pieter O DepuydtDepartment of Critical Care Medicine, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAntibiotic de-escalation is promoted to limit prolonged exposure to broad-spectrum antibiotics, but proof that it prevents the emergence of resistance is lacking. We evaluated determinants of antibiotic de-escalation in an attempt to assess whether the latter is associated with a lower emergence of antimicrobial resistance.

methodsAntibiotic treatments, starting with empirical beta-lactam prescriptions, were prospectively documented during 2013 and 2014 in a tertiary intensive care unit (ICU) and categorized as continuation, de-escalation or escalation of the empirical antimicrobial treatment. Determinants of the de-escalation or escalation treatments were identified by multivariate logistic regression; the continuation category was used as the reference group. Using systematically collected diagnostic and surveillance cultures, we estimated the cumulative incidence of antimicrobial resistance following de-escalation or continuation of therapy, with adjustment for ICU discharge and death as competing risks.

resultsOf 478 anti-pseudomonal antibiotic prescriptions, 42 (9 %) were classified as escalation of the antimicrobial treatment and 121 (25 %) were classified as de-escalation, mainly through replacement of the originally prescribed antibiotics with those having a narrower spectrum. In multivariate analysis, de-escalation was associated with the identification of etiologic pathogens (p < 0.001). The duration of the antibiotic course in the ICU in de-escalated versus continued prescriptions was 8 (range 6-10) versus 5 (range 4-7) days, respectively (p < 0.001). Mortality did not differ between patients in the de-escalation and continuation categories. The cumulative incidence estimates of the emergence of resistance to the initial beta-lactam antibiotic on day 14 were 30.6 and 23.5 % for de-escalation and continuation, respectively (p = 0.22). For the selection of multi-drug resistant pathogens, these values were 23.5 (de-escalation) and 18.6 % (continuation) respectively (p = 0.35).

conclusionThe emergence of antibiotic-resistant bacteria after exposure to anti-pseudomonal beta-lactam antibiotics was not lower following de-escalation.

Indexed as

Intensive Care UnitsAgedAnti-Bacterial Agentsbeta-LactamsCeftazidimeDrug Resistance, MicrobialFemaleHumansMaleMeropenemMiddle AgedPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug CombinationRetrospective StudiesThienamycinsAnti-Bacterial Agentsbeta-LactamsCeftazidimeMeropenemPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug CombinationThienamycinsAntibiotic stewardshipBeta-lactam antibioticsDe-escalationInformation technology systemMulti-drug resistance

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.