Evidence map›Paper›PMID 41929715›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Effective spectrum-based antibiotic resistance index for monitoring resistance in Gram-negative bacilli.

M Cristina Vazquez Guillamet, Alice Bewley, Nicole J Tarlton, Reid Goodman, Michael J Durkin, Michael Bernauer, Meghan Brett, Kevin Hsueh, Cristian Bologa, George Turabelidze and 2 more

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. 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

12 authors.

M Cristina Vazquez GuillametDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.ORCID https://orcid.org/0000-0003-4280-9804
Alice BewleyDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.ORCID https://orcid.org/0000-0001-5392-4010
Nicole J TarltonDepartment of Pathology and Laboratory Medicine, Endeavor Health, Evanston, IL, USA.
Reid GoodmanDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.
Michael J DurkinDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.ORCID https://orcid.org/0000-0003-4652-7089
Michael BernauerCollege of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
Meghan BrettDivision of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.ORCID https://orcid.org/0000-0001-6810-8067
Kevin HsuehDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.
Cristian BologaDivision of Translational Informatics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.ORCID https://orcid.org/0000-0003-2232-4244
George TurabelidzeMissouri Department of Health and Senior Services, St. Louis, MO, USA.
Andrew AtkinsonDivision of Infectious Diseases, Department of Medicine, Washington University, St. Louis, MO, USA.
Victoria J FraserDepartment of Medicine, Washington University, St. Louis, MO, USA.ORCID https://orcid.org/0000-0001-6251-0733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a growing public health threat, and we currently lack accurate measures to track and trend this resistance. We developed the antibiotic resistance index (ARI) that aggregates resistance of Gram-negative bacilli (GNB) into a single metric which can be tracked across healthcare settings and over time. Methods: Culture data were collected from adult patients who met the CDC adult sepsis event criteria across 10 Barnes-Jewish HealthCare (BJC) hospitals between January 2018 and December 2023. An antibiotic's effective spectrum (AES) was calculated as the ratio of susceptible GNB to all identified GNB. The ARI was calculated as the sum of the AES to which the isolate was resistant. Using the 20 most common GNB and 15 most common anti-GNB antibiotics routinely tested in antibiograms, we calculated the ARI for each BJC hospital during the study years. Results: 18,854 GNB cultured from 12,803 patients meeting CDC adult sepsis event criteria were included. AES varied between 0.15 for ampicillin and 0.94 for amikacin. Conclusion: ARI aggregates AMR in GNB and may facilitate monitoring across locations and over time. ARI and antibiotic effective spectra redefine narrow and broad spectrum of activity and offer a starting point for antibiotic utilization metrics.

Identifiers

PMID41929715
PMCPMC13040296

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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.