Evidence map›Paper›PMID 33827937›Full record

ArticlePediatrics2021

Diagnostic Stewardship of Endotracheal Aspirate Cultures in a PICU.

Anna C Sick-Samuels, Matthew Linz, Jules Bergmann, James C Fackler, Sean M Berenholtz, Shawn L Ralston, Katherine Hoops, Joe Dwyer, Elizabeth Colantuoni, Aaron M Milstone

Abstract read
In one paragraph

Article in Pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
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  18. Article
  19. Diagnostic Stewardship in the Pediatric Intensive Care Unit.Infectious disease clinics of North America · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anna C Sick-SamuelsDepartments of Pediatrics and asick1@jhmi.edu.
Matthew LinzNew Jersey Medical School, Rutgers University, Newark, New Jersey; and.
Jules BergmannAnesthesiology and Critical Care Medicine, School of Medicine, and.
James C FacklerAnesthesiology and Critical Care Medicine, School of Medicine, and.
Sean M BerenholtzAnesthesiology and Critical Care Medicine, School of Medicine, and.
Shawn L RalstonDepartments of Pediatrics and.
Katherine HoopsAnesthesiology and Critical Care Medicine, School of Medicine, and.
Joe DwyerExtra-Corporeal Membrane Oxygenation Services, Division of Respiratory Care, Departments of Pediatrics and.
Elizabeth ColantuoniBiostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Aaron M MilstoneDepartments of Pediatrics and.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
Implementing Diagnostic Stewardship to Reduce Antibiotic Use and Resistance in Critically Ill ChildrenR18HS025642 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI MILSTONE, AARON M · 2017 to 2020
$1.9M
Mentoring in prevention of hospital-acquired infections and antibiotic resistanceK24AI141580 · NIAID · JOHNS HOPKINS UNIVERSITY · PI AARON M MILSTONE · 2019 to 2026
$1.4M
AHRQ HHS R18 HS025642NCATS NIH HHS KL2 TR003099NCATS NIH HHS UL1 TR001079NIAID NIH HHS K24 AI141580
6 · The paper itself

Abstract

backgroundClinicians commonly obtain endotracheal aspirate cultures (EACs) in the evaluation of suspected ventilator-associated infections. However, bacterial growth in EACs does not distinguish bacterial colonization from infection and may lead to overtreatment with antibiotics. We describe the development and impact of a clinical decision support algorithm to standardize the use of EACs from ventilated PICU patients.

methodsWe monitored EAC use using a statistical process control chart. We compared the rate of EACs using Poisson regression and a quasi-experimental interrupted time series model and assessed clinical outcomes 1 year before and after introduction of the algorithm.

resultsIn the preintervention year, there were 557 EACs over 5092 ventilator days; after introduction of the algorithm, there were 234 EACs over 3654 ventilator days (an incident rate of 10.9 vs 6.5 per 100 ventilator days). There was a 41% decrease in the monthly rate of EACs (incidence rate ratio [IRR]: 0.59; 95% confidence interval [CI] 0.51-0.67;

conclusionsA clinical decision support algorithm standardizing EAC obtainment from ventilated PICU patients was associated with a sustained decline in the rate of EACs, without changes in mortality, readmissions, or length of stay.

Indexed as

AlgorithmsClinical Decision-MakingRespiration, ArtificialAdolescentBody FluidsChildChild, PreschoolHumansInfantInfant, NewbornIntensive Care Units, PediatricQuality ImprovementRetrospective StudiesTime FactorsTracheaYoung Adult

Identifiers

PMID33827937
PMCPMC8086005

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.