Evidence map›Paper›PMID 39911512›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Delving into discrepancies, a single-center experience with Accelerate Pheno for gram-negative bacteremia, a rapid phenotypic susceptibility testing method.

Zoe Freeman Weiss, Dimitar Zelenkov, Jon Englert, Maureen Campion

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zoe Freeman WeissDepartment of Pathology, Tufts Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0003-2931-3660
Dimitar ZelenkovTufts Medical Center, Department of Pharmacy, Boston, MA, USA.
Jon EnglertAccelerate Diagnostics, Tucson, AZ, USA.
Maureen CampionDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0001-5167-0766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Discrepancies or inaccuracies between testing methods can create confusion or lead to clinical harm if antibiotics are inappropriately chosen. We report our clinical experience using the Accelerate Pheno™ followed by routine automated susceptibilities by the Vitek®2 for positive blood cultures with gram-negative rods. Design: This was a retrospective review of positive gram-negative blood cultures, including comparison of susceptibility testing results and impact on clinical care. Setting: Academic teaching hospital. Patients participants: All patients admitted to the hospital with gram-negative bacteremia from January 2020 to December 2022. Methods: Microbiology was reviewed for discrepancies as defined by very major errors (VMEs), major errors (MEs), and minor errors (mEs). Clinical charts were reviewed for antibiotic therapy. Results: Positive blood cultures with gram-negative rods were included (n = 262). Between these two methods, overall essential agreement was 93.7% (2162/2304) and categorical agreement 93.5% (2159/2306). There were 147 discrepancies noted, including 6 VMEs, 25 MEs, and 116 mEs accounting for 96 patients. Antibiotic choice was changed in 8 patients due to perceived suboptimal empiric therapy based on the rapid susceptibility results. Conclusions: The Accelerate Pheno tended to over-call resistance compared to the Vitek®2. Few patients (8) received the incorrect antibiotic based on the Pheno result. Stewardship programs may choose to optimize their rapid antibiotic susceptibility testing reporting to help minimize confusion and guide appropriate antibiotic selection.

Identifiers

PMID39911512
PMCPMC11795440

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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.