Evidence map›Paper›PMID 42393598›Full record

Observational studyBMC infectious diseases2026

Antimicrobial resistance and associated risk factors in urinary tract infections diagnosed in the emergency department: a retrospective observational study.

Burcu Açıkalın Arıkan, Murat Kotanak, Seval Çalışkan Pala, Cüneyt Arıkan, Şükran Köse

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Burcu Açıkalın ArıkanDepartment of Infectious Diseases and Clinical Microbiology, Buca Seyfi Demirsoy Training and Research Hospital, Izmir, Türkiye. dr.hburcua@gmail.com.ORCID https://orcid.org/0000-0002-4955-0789
Murat KotanakDepartment of Emergency Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Türkiye.
Seval Çalışkan PalaDepartment of Public Health, Eskişehir Provincial Health Directorate, Eskişehir, Türkiye.
Cüneyt ArıkanDepartment of Emergency Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Türkiye.
Şükran KöseDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Dokuz Eylul University, Izmir, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections (UTIs) are among the most common causes of emergency department admissions and represent a major source of antimicrobial use worldwide. The aim of this study was to determine antimicrobial resistance patterns and associated risk factors among patients diagnosed with UTIs in the emergency department.

methodsThis retrospective observational study included 1,042 adult patients diagnosed with UTIs in the ED of a tertiary referral hospital. Demographic characteristics, clinical findings, urine culture results, antimicrobial susceptibility profiles, and resistance-associated risk factors were analyzed.

resultsGram-negative bacteria accounted for 74.6% of isolates, with Escherichia coli (43.1%) and Klebsiella spp. (22.3%) being the predominant pathogens. High resistance rates were observed for ciprofloxacin (47.6%), ceftriaxone (47.0%), and trimethoprim-sulfamethoxazole (41.3%). ESBL production and carbapenem resistance were detected in 16.9% and 17.9% of Gram-negative isolates, respectively. Recent antibiotic use, indwelling urinary catheterization, and malignancy were identified as independent risk factors for ESBL positivity. Male sex, malignancy, and indwelling urinary catheterization were independently associated with carbapenem resistance. Among Enterococcus spp. isolates, vancomycin resistance remained very low (0.9%), whereas ampicillin resistance was detected in 23.7% of isolates.

conclusionsThese findings underscore the critical importance of incorporating local resistance surveillance into empirical treatment decisions, adopting individualized therapeutic approaches, and strengthening antimicrobial stewardship programs in emergency departments.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEmergency Service, HospitalUrinary Tract InfectionsAdultAgedAged, 80 and overFemaleGram-Negative BacteriaHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesRisk FactorsAnti-Bacterial AgentsAntimicrobial resistanceEmergency departmentExtended-spectrum beta-lactamaseRisk factorsUrinary tract infection

Identifiers

PMID42393598
PMCPMC13602491

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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.