Evidence map›Paper›PMID 40483415›Full record

ArticleBMC geriatrics2025

Urine flow cytometry in older adults urinary tract infection diagnosis: is it time to reevaluate thresholds for men and women?

Adrien Biguenet, Elisa Champy, Marine Gilis, Houssein Gbaguidi-Haore, Isabelle Patry, Kévin Bouiller, Xavier Bertrand

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Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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4 · The record

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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

7 authors.

Adrien BiguenetUMR-CNRS 6249, Chrono-environnement, Université de Franche-Comté, Besançon, F-25000, France. abiguenet@chu-besancon.fr.
Elisa ChampyService d'hygiène hospitalière, CHU de Besançon, Besançon, F-25000, France.
Marine GilisService de gériatrie, CHU de Besançon, Besançon, F-25000, France.
Houssein Gbaguidi-HaoreService d'hygiène hospitalière, CHU de Besançon, Besançon, F-25000, France.
Isabelle PatryService bactériologie médicale, CHU de Besançon, Besançon, F-25000, France.
Kévin BouillerUMR-CNRS 6249, Chrono-environnement, Université de Franche-Comté, Besançon, F-25000, France.
Xavier BertrandUMR-CNRS 6249, Chrono-environnement, Université de Franche-Comté, Besançon, F-25000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the utility of automated urine flow cytometry in the diagnosis of urinary tract infection (UTI) in older patients without waiting for urine culture results.

methodsThis prospective study included patients aged ≥ 65 years admitted to the emergency department of Besançon University Hospital over a six-month period. Clinical and biological data were collected and UTI diagnosis was based on strict clinical and biological criteria. Urine analysis was performed using the UF-4000 (Sysmex). Parameters or thresholds were defined based on an AUC > 0.8 and a clinically relevant negative likelihood ratio (LR-) < 0.1.

resultsOf 456 patients, 69 (15.1%) had a UTI. Bacteriuria (AUC = 0.874) and leukocyturia (AUC = 0.925) were strongly associated with UTI, with thresholds of 150 bacteria/µL and 50 leukocytes/µL (both LR- < 0.1). These cut-offs varied by sex. Urine dipsticks effectively excluded UTI in men (LR- < 0.1), but were less reliable in women (LR- = 0.129). Gender-specific diagnostic algorithms were suggested.

conclusionsUrine flow cytometry provides valuable diagnostic thresholds for bacteriuria and leukocyturia and helps to exclude UTI before culture results. Recommendations for the diagnosis of UTI in older patients should take into account gender differences.

Indexed as

Flow CytometryUrinalysisUrinary Tract InfectionsAgedAged, 80 and overBacteriuriaFemaleHumansMaleProspective StudiesSex FactorsDiagnosisElderlyFlow cytometryUrinary tract infectionUrine culture

Identifiers

PMID40483415
PMCPMC12144684

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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.