Evidence map›Paper›PMID 37193004›Full record

ArticleJAC-antimicrobial resistance2023

Clinical, contextual and hospital-level factors associated with escalation and de-escalation of empiric Gram-negative antibiotics among US inpatients.

Jonathan D Baghdadi, Katherine E Goodman, Laurence S Magder, Emily L Heil, Kimberly Claeys, Jacqueline Bork, Anthony D Harris

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Impact of the BioFireBMC infectious diseases · 2026
    Article
  2. Association Between Delayed Broad-Spectrum Gram-negative Antibiotics and Clinical Outcomes: How Much Does Getting It Right With Empiric Antibiotics Matter?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  3. 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

7 authors.

Jonathan D BaghdadiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2442-0654
Katherine E GoodmanDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0003-2851-775X
Laurence S MagderDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Emily L HeilDepartment of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Kimberly ClaeysDepartment of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Jacqueline BorkDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Anthony D HarrisDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.

Funding

AHRQ HHS K08 HS028854
6 · The paper itself

Abstract

Background: Empiric Gram-negative antibiotics are frequently changed in response to new information. To inform antibiotic stewardship, we sought to identify predictors of antibiotic changes using information knowable before microbiological test results. Methods: We performed a retrospective cohort study. Survival-time models were used to evaluate clinical factors associated with antibiotic escalation and de-escalation (defined as an increase or decrease, respectively, in the spectrum or number of Gram-negative antibiotics within 5 days of initiation). Spectrum was categorized as narrow, broad, extended or protected. Tjur's D statistic was used to estimate the discriminatory power of groups of variables. Results: In 2019, 2 751 969 patients received empiric Gram-negative antibiotics at 920 study hospitals. Antibiotic escalation occurred in 6.5%, and 49.2% underwent de-escalation; 8.8% were changed to an equivalent regimen. Escalation was more likely when empiric antibiotics were narrow-spectrum (HR 19.0 relative to protected; 95% CI: 17.9-20.1), broad-spectrum (HR 10.3; 95% CI: 9.78-10.9) or extended-spectrum (HR 3.49; 95% CI: 3.30-3.69). Patients with sepsis present on admission (HR 1.94; 95% CI: 1.91-1.96) and urinary tract infection present on admission (HR 1.36; 95% CI: 1.35-1.38) were more likely to undergo antibiotic escalation than patients without these syndromes. De-escalation was more likely with combination therapy (HR 2.62 per additional agent; 95% CI: 2.61-2.63) or narrow-spectrum empiric antibiotics (HR 1.67 relative to protected; 95% CI: 1.65-1.69). Choice of empiric regimen accounted for 51% and 74% of the explained variation in antibiotic escalation and de-escalation, respectively. Conclusions: Empiric Gram-negative antibiotics are frequently de-escalated early in hospitalization, whereas escalation is infrequent. Changes are primarily driven by choice of empiric therapy and presence of infectious syndromes.

Identifiers

PMID37193004
PMCPMC10182731

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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.