Evidence map›Paper›PMID 39745181›Full record

Observational studyClinical chemistry and laboratory medicine2025

Quality indicators for urine sample contamination: can squamous epithelial cells and bacteria count be used to identify properly collected samples?

Gabriela Blauth Walber, José Antonio Tesser Poloni, Liane Nanci Rotta

Abstract readObservational Study
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In one paragraph

Observational study in Clinical chemistry and laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Gabriela Blauth Walber117303 Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre , Porto Alegre, Brazil.
José Antonio Tesser PoloniControllab, Rio de Janeiro, Brazil.
Liane Nanci Rotta117303 Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre , Porto Alegre, Brazil.ORCID 0000-0003-1043-5203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate urinalysis parameters useful for identifying mixed cultures in urine culture using an automated urinary particle analyzer to assess quality indicators (QIs) for urine sample contamination.

methodsA retrospective observational cross-sectional study was conducted with 2,527 urine samples from patients of a quaternary hospital in Brazil. Urine samples were processed simultaneously in Sysmex UF-5000 flow cytometry analyzer (urinalysis) and MALDI-TOF (culture).

resultsFor all samples, a cutoff of 123.8 bacteria/µL was established to discriminate culture-negative specimens. ROC curve indicated the following cutoffs for females and males, respectively: 193.65 and 23.55 bacteria/µL, and 21.35 and 5.05 squamous epithelial cells (SEC)/µL, with the latter two related to scenarios of sample contamination/colonization through mixed cultures. Performing univariate logistic regression, we found a 2.78 (CI95 %: 2.12-3.65) times higher chance of probable mixed culture when SEC values were above the cutoffs for each sex, and 6.91(CI95 %: 4.56-10.47) times for bacteria. For multivariate logistic regression, the OR values were 1.62 (CI95 %: 1.21-2.15) and 5.82 (CI95 %: 3.77-8.98), respectively.

conclusionsThe fluorescent flow cytometry analyzers could efficiently identify urinary bacteria counts associated with contamination/colonization scenarios using the cutoffs of 21.35 SEC/µL for women and 5.05 SEC/µL for men. The cutoffs for bacteria/µL (193.65 for females and 23.55 for males) indicated that the presence of bacteria in male samples may be more associated with urinary tract infections (UTIs), while in female samples, it may be associated with either UTIs or contamination/colonization scenarios. This makes the analyzer a helpful tool as QI of sample contamination in urine cultures.

Indexed as

BacteriaEpithelial CellsUrinalysisUrineUrine Specimen CollectionAdultAgedCross-Sectional StudiesFemaleFlow CytometryHumansMaleMiddle AgedRetrospective StudiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUrinary Tract Infectionscolonizationcontaminationmixed culturesquality indicatorssquamous epithelial cells

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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.