Evidence map›Paper›PMID 38454622›Full record

ArticleJournal of clinical laboratory analysis2024

Using the Sysmex UF-4000 urine flow cytometer for rapid diagnosis of urinary tract infection in the clinical microbiological laboratory.

Koos Korsten, Astrid de Gier, Alexander Leenders, Peter C Wever, Eva Kolwijck

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Koos KorstenDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-2451-4113
Astrid de GierDepartment of Medical Microbiology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands.
Alexander LeendersDepartment of Medical Microbiology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands.
Peter C WeverDepartment of Medical Microbiology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands.
Eva KolwijckDepartment of Medical Microbiology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands.
Jeroen Bosch Ziekenhuis · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections are responsible for a significant worldwide disease burden. Performing urine culture is time consuming and labor intensive. Urine flow cytometry might provide a quick and reliable method to screen for urinary tract infection.

methodsWe analyzed routinely collected urine samples received between 2020 and 2022 from both inpatients and outpatients. The UF-4000 urine flow cytometer was implemented with an optimal threshold for positivity of ≥100 bacteria/μL. We thereafter validated the prognostic value to detect the presence of urinary tract infection (UTI) based on bacterial (BACT), leukocyte (WBC), and yeast-like cell (YLC) counts combined with the bacterial morphology (UF gram-flag).

resultsIn the first phase, in 2019, the UF-4000 was implemented using 970 urine samples. In the second phase, between 2020 and 2022, the validation was performed in 42,958 midstream urine samples. The UF-4000 screen resulted in a 37% (n = 15,895) decrease in performed urine cultures. Uropathogens were identified in 18,673 (69%) positively flagged urine samples. BACT > 10.000/μL combined with a gram-negative flag had a >90% positive predictive value for the presence of gram-negative uropathogens. The absence of gram-positive flag or YLC had high negative predictive values (99% and >99%, respectively) and are, therefore, best used to rule out the presence of gram-positive bacteria or yeast. WBC counts did not add to the prediction of uropathogens.

conclusionImplementation of the UF-4000 in routine practice decreased the number of cultured urine samples by 37%. Bacterial cell counts were highly predictive for the presence of UTI, especially when combined with the presence of a gram-negative flag.

Indexed as

Saccharomyces cerevisiaeUrinary Tract InfectionsBacteriaFlow CytometryHumansLeukocyte CountSensitivity and SpecificityUrinalysisUrinediagnosticsflow cytometryurinalysisurinary tract infection

Identifiers

PMID38454622
PMCPMC10959182
OpenAlexW4392593519

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Registered trials

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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.