Evidence map›Paper›PMID 42798086›Full record

ArticleMedicine2026

Clinical characteristics of microbiologically inappropriate empiric antibiotics in emergency department patients with bacteremia: A descriptive study.

Akira Komori, Naohiro Kusunoki, Takako Kainoh, Katsuhiro Nagata

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

4 authors.

Akira KomoriDepartment of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan.ORCID 0000-0001-8548-3707
Naohiro KusunokiDepartment of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan.
Takako KainohDepartment of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan.
Katsuhiro NagataDepartment of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septic patients frequently receive empiric antibiotics before microbiological results are available, and some regimens fail to cover the eventual causative pathogen. Such microbiologically inappropriate empiric therapy has been associated with worse clinical outcomes; however, the patterns and contributing circumstances leading to these mismatches in real-world emergency care remain insufficiently described. We conducted a single-center retrospective study of adult patients with bacteremia who received empiric intravenous antibiotics in a Japanese emergency department from January to December 2024. Microbiologically inappropriate empiric therapy was defined as the absence of in vitro susceptibility of the isolated bloodstream pathogen to the initial regimen. Clinical characteristics, infection source estimation, and pathogen profiles were examined descriptively. Among 118 patients with bacteremia who met inclusion criteria, 11 (9.3%) received microbiologically inappropriate empiric therapy. The median age was 82 years, and all patients met sepsis-3 criteria. Most mismatches were attributable either to infections caused by extended-spectrum β-lactamase-producing Enterobacterales despite correct initial source estimation or to inaccurate presumptive identification of the infectious source, which led to the selection of an ineffective empiric regimen. Mortality was more frequent among patients with incorrect initial source estimation. In conclusion, 2 distinct patterns contributed to inadequate empiric antibiotic coverage: resistant pathogens and diagnostic uncertainty regarding the infectious source. These findings suggest that antimicrobial stewardship efforts in emergency settings should not focus solely on antimicrobial spectrum selection but must also incorporate strategies to improve early source identification and timely recognition of resistant organisms at the point of care.

Indexed as

Anti-Bacterial AgentsBacteremiaEmergency Service, HospitalInappropriate PrescribingAgedAged, 80 and overDrug Resistance, BacterialFemaleHumansJapanMaleMicrobial Sensitivity TestsRetrospective StudiesAnti-Bacterial Agentsantimicrobial resistanceantimicrobial stewardshipbacteremiaemergency departmentsepsis

Identifiers

PMID42798086
PMCPMC13619221

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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.