Evidence map›Paper›PMID 42458297›Full record

ArticleBMC infectious diseases2026

A retrospective analysis of emergency department cultures in a tertiary care center.

Nevin İnce, Güneş Şengüldür, Emel Akbaş, Erdinç Şengüldür, Dilek Akıncı, Bekir Tunca

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Article in BMC infectious diseases, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nevin İnceDepartment of Infectious Diseases and Clinical Microbiology, Düzce University Faculty of Medicine, Düzce, Türkiye.
Güneş ŞengüldürDepartment of Infectious Diseases and Clinical Microbiology, Düzce University Faculty of Medicine, Düzce, Türkiye.
Emel AkbaşDepartment of Medical Microbiology, Düzce University Faculty of Medicine, Düzce, Türkiye.
Erdinç ŞengüldürDepartment of Emergency Medicine, Düzce University Faculty of Medicine, Düzce, Türkiye. drerdincsenguldur@hotmail.com.ORCID https://orcid.org/0000-0002-3978-9534
Dilek AkıncıDepartment of Infectious Diseases and Clinical Microbiology, Düzce University Faculty of Medicine, Düzce, Türkiye.
Bekir TuncaDepartment of Infectious Diseases and Clinical Microbiology, Düzce University Faculty of Medicine, Düzce, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo describe the distribution and outcomes of cultures obtained in the emergency department (ED), examine contamination and microbiological yield across specimen types, and compare results between adult and pediatric settings.

methodsWe conducted a retrospective study including all cultures obtained over a 12-month period in the adult and pediatric EDs of a tertiary hospital. Demographic characteristics, culture type, microbiological results, and patient disposition were extracted from electronic records. Culture results were categorized as no growth, contamination/commensal-flora, bacterial growth with or without extended-spectrum β-lactamase (ESBL) production, yeast growth, or sample rejection.

resultsA total of 2,674 cultures were analyzed. Nearly half of the cultures showed no growth (48.8%), and 24.3% were classified as contamination/commensal-flora based on laboratory report wording, representing low-interpretability flora reports rather than a formal blood culture contamination rate. Bacterial growth without ESBL production occurred in 16.6%, while ESBL-producing organisms were detected in 2.3%; yeast growth occurred in 1.0%, and 7.0% of samples were rejected. Urine cultures constituted the largest proportion and demonstrated higher rates of both growth and contamination/commensal-flora compared with blood and sterile body fluid cultures. Contamination/commensal-flora was more frequent in pediatric ED cultures, whereas hospitalized-particularly intensive care-patients had higher microbiological positivity and a greater prevalence of ESBL-producing organisms.

conclusionsA substantial share of ED cultures yielded no growth or laboratory-wording-based contamination/commensal-flora reports, suggesting limited diagnostic interpretability in many cases. Variation by specimen type and patient disposition highlights the importance of selective culture ordering, improved collection practices, and integration of antimicrobial stewardship principles into ED workflows. Prospective multicenter studies incorporating clinical outcomes are needed to clarify the impact of ED culture practices on patient care.

Indexed as

Emergency Service, HospitalAdolescentAdultAgedBacteriaChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedRetrospective StudiesTertiary Care CentersYoung AdultBlood cultureContaminationEmergency departmentMicrobiological culturesUrine culture

Identifiers

PMID42458297
PMCPMC13656384

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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.