Evidence map›Paper›PMID 33487182›Full record

ArticleInfection control and hospital epidemiology2021

Reductions in vancomycin and meropenem following the implementation of a febrile neutropenia management algorithm in hospitalized adults: An interrupted time series analysis.

Trang D Trinh, Luke Strnad, Lloyd Damon, John H Dzundza, Larissa R Graff, Laura M Griffith, Alexandra Hilts-Horeczko, Rebecca Olin, Samantha Shenoy, Catherine DeVoe and 7 more

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

17 authors.

Trang D TrinhMedication Outcomes Center, Department of Clinical Pharmacy, University of California, San Francisco School of Pharmacy, San Francisco, California.ORCID 0000-0002-9928-4714
Luke StrnadDivision of Infectious Diseases, Department of Medicine, Oregon Health and Sciences University School of Medicine, Portland, Oregon.
Lloyd DamonDivision of Hematology and Oncology, Department of Medicine, University of California, San Francisco School of Medicine, San Francisco, California.
John H DzundzaDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco School of Medicine, San Francisco, California.
Larissa R GraffDepartment of Pharmaceutical Services, University of California, San Francisco Health, San Francisco, California.
Laura M GriffithDepartment of Nursing, University of California, San Francisco Health, San Francisco, California.
Alexandra Hilts-HoreczkoDepartment of Pharmaceutical Services, University of California, San Francisco Health, San Francisco, California.
Rebecca OlinDivision of Hematology and Oncology, Department of Medicine, University of California, San Francisco School of Medicine, San Francisco, California.
Samantha ShenoyHematology and Oncology Clinic, University of California, San Francisco Health, San Francisco, California.
Catherine DeVoeDivision of Infectious Diseases, Department of Medicine, University of California School of Medicine, San Francisco, San Francisco, California.
Lusha WangDivision of Infection Prevention, Department of Quality, University of California, San Francisco Health, San Francisco, California.
Rosa Rodriguez-MonguioMedication Outcomes Center, Department of Clinical Pharmacy, University of California, San Francisco School of Pharmacy, San Francisco, California.
Tina M GuDepartment of Pharmaceutical Services, University of California, San Francisco Health, San Francisco, California.
Scott R HamptonDepartment of Pharmacy, University of California, San Diego Health, San Diego, California.
Brian Allan C MacapinlacDepartment of Pharmacy, Kaiser Permanente, Union City, California.
Katherine YangDepartment of Clinical Pharmacy, University of California, San Francisco School of Pharmacy, San Francisco, California.
Sarah B DoernbergDivision of Infectious Diseases, Department of Medicine, University of California School of Medicine, San Francisco, San Francisco, California.

Funding

BIOLOGY OF INFECTIOUS DISEASES TRAINING PROGRAMT32AI007641 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2000 to 2026
$6.9M
NIAID NIH HHS T32 AI007641
6 · The paper itself

Abstract

objectiveTo evaluate broad-spectrum intravenous antibiotic use before and after the implementation of a revised febrile neutropenia management algorithm in a population of adults with hematologic malignancies.

designQuasi-experimental study. SETTING AND POPULATION: Patients admitted between 2014 and 2018 to the Adult Malignant Hematology service of an acute-care hospital in the United States.

methodsAggregate data for adult malignant hematology service were obtained for population-level antibiotic use: days of therapy (DOT), C. difficile infections, bacterial bloodstream infections, intensive care unit (ICU) length of stay, and in-hospital mortality. All rates are reported per 1,000 patient days before the implementation of an febrile neutropenia management algorithm (July 2014-May 2016) and after the intervention (June 2016-December 2018). These data were compared using interrupted time series analysis.

resultsIn total, 2,014 patients comprised 6,788 encounters and 89,612 patient days during the study period. Broad-spectrum intravenous (IV) antibiotic use decreased by 5.7% with immediate reductions in meropenem and vancomycin use by 22 (P = .02) and 15 (P = .001) DOT per 1,000 patient days, respectively. Bacterial bloodstream infection rates significantly increased following algorithm implementation. No differences were observed in the use of other antibiotics or safety outcomes including C. difficile infection, ICU length of stay, and in-hospital mortality.

conclusionsReductions in vancomycin and meropenem were observed following the implementation of a more stringent febrile neutropenia management algorithm, without evidence of adverse outcomes. Successful implementation occurred through a collaborative effort and continues to be a core reinforcement strategy at our institution. Future studies evaluating patient-level data may identify further stewardship opportunities in this population.

Indexed as

Clostridioides difficileFebrile NeutropeniaAdultAlgorithmsHumansInterrupted Time Series AnalysisMeropenemVancomycinMeropenemVancomycin

Identifiers

PMID33487182
PMCPMC8459315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.