Evidence map›Paper›PMID 42521980›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026

Urinary bacterial count as a predictor of concomitant bacteremia in adults with community-acquired Enterobacterales urinary tract infections.

Fatih Çubuk, Özlem Aldemir, Murtaza Öz

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 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

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fatih ÇubukDepartment of Medical Microbiology, Sivas State Hospital, Sivas, Türkiye, Turkey. fatih.cubuk.0587@gmail.com.ORCID http://orcid.org/0000-0002-8976-7691
Özlem AldemirDepartment of Infectious Diseases and Clinical Microbiology, Sivas Numune Hospital, Sivas, Türkiye, Turkey.ORCID http://orcid.org/0000-0002-9356-7510
Murtaza ÖzDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Sivas Cumhuriyet University, Sivas, Türkiye, Turkey.ORCID http://orcid.org/0000-0003-3415-5927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConcomitant bacteremia is associated with poorer clinical outcomes among adults with community-acquired Enterobacterales urinary tract infections (UTIs). However, evidence regarding whether routine urinalysis parameters can predict concomitant bacteremia remains limited. We aimed to evaluate the diagnostic performance of routine urinalysis parameters for predicting concomitant bacteremia, using blood culture as the reference standard.

methodsThis retrospective cohort study included adults without an indwelling urinary catheter who had community-acquired Enterobacterales UTIs. The predictive performance of urinalysis parameters for concomitant bacteremia was assessed using Receiver operating characteristic curve analysis and multivariable logistic regression.

resultsA total of 153 patients were included, of whom 50 (32.7%) had concomitant bacteremia. Patients with bacteremia were significantly older and had higher urinary leukocyte counts, urinary bacterial counts, and serum procalcitonin levels than those without bacteremia (p < 0.05). Urinary bacterial count had an Area Under the Curve (AUC) value of 0.843 for predicting concomitant bacteremia, with an optimal cut-off value of 57 counts per high-power field, 68.0% sensitivity, 86.4% specificity, and an 84.8% negative predictive value. Serum procalcitonin had an AUC of 0.828, with an optimal cut-off value of 1.27 ng/mL, 79.3% sensitivity, 76.3% specificity, and an 88.2% negative predictive value. In multivariable analysis, urinary bacterial count (OR = 14.8, p < 0.001) and serum procalcitonin level (OR = 6.0, p = 0.009) were independent predictors of concomitant bacteremia.

conclusionsUrinary bacterial count is an independent predictor of concomitant bacteremia in catheter-free adults with community-acquired Enterobacterales UTIs. Its diagnostic performance was comparable to that of serum procalcitonin, suggesting that this inexpensive and readily available parameter may provide additional information regarding the likelihood of concomitant bacteremia.

Indexed as

BacteremiaCommunity-acquiredProcalcitoninUrinalysisUrinary tract infection

Identifiers

PMID42521980

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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.