Evidence map›Paper›PMID 33820578›Full record

ArticleInfection control and hospital epidemiology2022

Impact of cascade reporting of antimicrobial susceptibility on fluoroquinolone and meropenem consumption at a Veterans' Affairs medical center.

Nicole C Vissichelli, Christine M Orndahl, Jane A Cecil, Emily M Hill, Matthew M Hitchcock, Roy T Sabo, Michael P Stevens, Dan Tassone, Leroy B Vaughan, J Daniel Markley

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. The importance of pharmacist engagement in diagnostic stewardship.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. 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.

Nicole C VissichelliDivision of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University Health System, Richmond, Virginia.ORCID 0000-0002-7748-1215
Christine M OrndahlDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia.
Jane A CecilDivision of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University Health System, Richmond, Virginia.
Emily M HillDepartment of Pathology, Hunter Holmes McGuire Veteran's Affairs Medical Center, Richmond, Virginia.
Matthew M HitchcockDepartment of Infectious Diseases, Hunter Holmes McGuire Veteran's Affairs Medical Center, Richmond, Virginia.
Roy T SaboDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia.
Michael P StevensDivision of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University Health System, Richmond, Virginia.
Dan TassoneDepartment of Infectious Diseases, Hunter Holmes McGuire Veteran's Affairs Medical Center, Richmond, Virginia.
Leroy B VaughanDepartment of Infectious Diseases, Hunter Holmes McGuire Veteran's Affairs Medical Center, Richmond, Virginia.
J Daniel MarkleyDivision of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University Health System, Richmond, Virginia.

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Global Epidemiology of Infectious DiseasesT32AI052073 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud, Stephen Patrick Luby · 2003 to 2026
$4.2M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

objectiveTo determine whether cascade reporting is associated with a change in meropenem and fluoroquinolone consumption.

designA quasi-experimental study was conducted using an interrupted time series to compare antimicrobial consumption before and after the implementation of cascade reporting.

settingA 399-bed, tertiary-care, Veterans' Affairs medical center.

participantsAntimicrobial consumption data across 8 inpatient units were extracted from the Center for Disease Control and Prevention (CDC) National Health Safety Network (NHSN) antimicrobial use (AU) module from April 2017 through March 2019, reported as antimicrobial days of therapy (DOT) per 1,000 days present (DP).

interventionCascade reporting is a strategy of reporting antimicrobial susceptibility test results in which secondary agents are only reported if an organism is resistant to primary, narrow-spectrum agents. A multidisciplinary team developed cascade reporting algorithms for gram-negative bacteria based on local antibiogram and infectious diseases practice guidelines, aimed at restricting the use of fluoroquinolones and carbapenems. The algorithms were implemented in March 2018.

resultsFollowing the implementation of cascade reporting, mean monthly meropenem (P =.005) and piperacillin/tazobactam (P = .002) consumption decreased and cefepime consumption increased (P < .001). Ciprofloxacin consumption decreased by 2.16 DOT per 1,000 DP per month (SE, 0.25; P < .001). Clostridioides difficile rates did not significantly change.

conclusionCiprofloxacin consumption significantly decreased after the implementation of cascade reporting. Mean meropenem consumption decreased after cascade reporting was implemented, but we observed no significant change in the slope of consumption. cascade reporting may be a useful strategy to optimize antimicrobial prescribing.

Indexed as

Anti-Infective AgentsVeteransAnti-Bacterial AgentsFluoroquinolonesGram-Negative BacteriaHumansMeropenemMicrobial Sensitivity TestsAnti-Bacterial AgentsAnti-Infective AgentsFluoroquinolonesMeropenem

Identifiers

PMID33820578
PMCPMC9370064

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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.