Evidence map›Paper›PMID 28709439›Full record

ArticleCritical care (London, England)2017

Enhanced antimicrobial de-escalation for pneumonia in mechanically ventilated patients: a cross-over study.

Tracy Trupka, Kristen Fisher, Scott T Micek, Paul Juang, Marin H Kollef

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02685930 (Pneumonia in the Intensive Care Unit), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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.

NCT02685930 completednot on this map

Pneumonia in the Intensive Care Unit (ICU) Setting

TypeobservationalSponsorWashington University School of MedicineRan2016 to 2017Enrolled364ConditionsPneumonia, Respiratory FailureArmsAntibiotic de-escalation by ICU stewardship team with decreased exposure to broad spectrum antibiotics and shorter duration of therapy
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Value of hospital antimicrobial stewardship programs [ASPs]: a systematic review.Antimicrobial resistance and infection control · 2019
    Pooled it
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  10. Observational
  11. Prospective Nasal Screening for Methicillin-ResistantOpen forum infectious diseases · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Tracy TrupkaDivision of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 4523 Clayton Ave, Campus Box 8052, St. Louis, MO, 63110, USA.
Kristen FisherDivision of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 4523 Clayton Ave, Campus Box 8052, St. Louis, MO, 63110, USA.
Scott T MicekDivision of Pharmacy Practice, St. Louis College of Pharmacy, St. Louis, MO, USA.
Paul JuangDivision of Pharmacy Practice, St. Louis College of Pharmacy, St. Louis, MO, USA.
Marin H KollefDivision of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 4523 Clayton Ave, Campus Box 8052, St. Louis, MO, 63110, USA. kollefm@wustl.edu.
Washington University in St. Louis · USUniversity of Health Sciences and Pharmacy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotics are commonly administered to hospitalized patients with infiltrates for possible bacterial pneumonia, often leading to unnecessary treatment and increasing the risk for resistance emergence. Therefore, we performed a study to determine if an enhanced antibiotic de-escalation practice could improve antibiotic utilization in mechanically ventilated patients with suspected pneumonia cared for in an academic closed intensive care unit (ICU).

methodsThis was a prospective cross-over trial comparing routine antibiotic management (RAM) and enhanced antimicrobial de-escalation (EAD) performed within two medical ICUs (total 34 beds) at Barnes-Jewish Hospital, an academic referral center. Patients in the EAD group had their antibiotic orders and microbiology results reviewed daily by a dedicated team comprised of a second-year critical care fellow, an ICU attending physician and an ICU pharmacist. Antibiotic de-escalation recommendations were made when appropriate based on microbiologic test results and clinical response to therapy.

resultsThere were 283 patients evaluable, with suspected pneumonia requiring mechanical ventilation: 139 (49.1%) patients in the RAM group and 144 (50.9%) in the EAD group. Early treatment failure based on clinical deterioration occurred in 33 (23.7%) and 40 (27.8%) patients, respectively (P = 0.438). In the remaining patients, antimicrobial de-escalation occurred in 70 (66.0%) and 70 (67.3%), respectively (P = 0.845). There was no difference between groups in total antibiotic days ((median (interquartile range)) 7.0 days (4.0, 9.0) versus 7.0 days (4.0, 8.8) (P = 0.616)); hospital mortality (25.2% versus 35.4% (P = 0.061)); or hospital duration (12.0 days (6.0, 20.0) versus 11.0 days (6.0, 22.0) (P = 0.918).

conclusionsThe addition of an EAD program to a high-intensity daytime staffing model already practicing a high-level of antibiotic stewardship in an academic ICU was not associated with greater antibiotic de-escalation or a reduction in the overall duration of antibiotic therapy.

trial registrationClinicalTrials.gov, NCT02685930 . Registered on 26 January 2016.

Indexed as

Academic Medical CentersAgedAnti-Bacterial AgentsCarbapenemsCefepimeCeftriaxoneCephalosporinsCross-Over StudiesFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedMonobactamsPneumoniaAnti-Bacterial AgentsCarbapenemsCefepimeCeftriaxoneCephalosporinsMonobactamsQuinolonesAntibioticsDe-escalationMechanical ventilationPneumonia

Identifiers

PMID28709439
PMCPMC5513164
OpenAlexW2735235055

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.