Evidence map›Paper›PMID 36168494›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2021

Evaluation of antibiotic escalation in response to nurse-driven inpatient sepsis screen.

Daisuke Furukawa, Thomas D Dieringer, Mitchell D Wong, Julia T Tong, Isa A Cader, Lauren E Wisk, Maria A Han, Summer M Gupta, Russell B Kerbel, Daniel Z Uslan and 1 more

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Daisuke FurukawaDivision of Infectious Disease, Department of Medicine, University of California-Los Angeles, California.ORCID https://orcid.org/0000-0002-5383-1663
Thomas D DieringerDivision of Infectious Disease, Department of Medicine, University of California-Los Angeles, California.
Mitchell D WongDivision of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California.ORCID https://orcid.org/0000-0002-4800-8410
Julia T TongDivision of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California.
Isa A CaderDavid Geffen School of Medicine, University of California-Los Angeles, California.
Lauren E WiskDivision of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California.
Maria A HanDivision of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California.ORCID https://orcid.org/0000-0003-4516-7894
Summer M GuptaQuality Management Services, UCLA Health, Los Angeles, California.
Russell B KerbelDivision of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California.ORCID https://orcid.org/0000-0003-4768-3235
Daniel Z UslanDivision of Infectious Disease, Department of Medicine, University of California-Los Angeles, California.
Christopher J GraberInfectious Diseases Section, VA Greater Los Angeles Healthcare System, Los Angeles, California.ORCID https://orcid.org/0000-0003-4041-2811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the frequency and predictors of antibiotic escalation in response to the inpatient sepsis screen at our institution. Design: Retrospective cohort study. Setting: Two affiliated academic medical centers in Los Angeles, California. Patients: Hospitalized patients aged 18 years and older who had their first positive sepsis screen between January 1, 2019, and December 31, 2019, on acute-care wards. Methods: We described the rate and etiology of antibiotic escalation, and we conducted multivariable regression analyses of predictors of antibiotic escalation. Results: Of the 576 cases with a positive sepsis screen, antibiotic escalation occurred in 131 cases (22.7%). New infection was the most documented etiology of escalation, with 76 cases (13.2%), followed by known pre-existing infection, with 26 cases (4.5%). Antibiotics were continued past 3 days in 17 cases (3.0%) in which new or existing infection was not apparent. Abnormal temperature (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.91-4.70) and abnormal lactate (aOR, 2.04; 95% CI, 1.28-3.27) were significant predictors of antibiotic escalation. The patient already being on antibiotics (aOR, 0.54; 95% CI, 0.34-0.89) and the positive screen occurred during a nursing shift change (aOR, 0.36; 95% CI, 0.22-0.57) were negative predictors. Pneumonia was the most documented new infection, but only 19 (50%) of 38 pneumonia cases met full clinical diagnostic criteria. Conclusions: Inpatient sepsis screening led to a new infectious diagnosis in 13.2% of all positive sepsis screens, and the risk of prolonged antibiotic exposure without a clear infectious source was low. Pneumonia diagnostics and lactate testing are potential targets for future stewardship efforts.

Identifiers

PMID36168494
PMCPMC9495422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.