ArticleJournal of clinical microbiology2015
Flow cytometry analysis using sysmex UF-1000i classifies uropathogens based on bacterial, leukocyte, and erythrocyte counts in urine specimens among patients with urinary tract infections.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 papers.
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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.
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.
The Urinary Microbiome and Its Relationship to the Urinary and Serum Metabolome in Healthy Peri- and Postmenopausal Women
Changes in the Urinary Microbiome and Metabolome During Treatment of the Overactive Bladder in Female Patients
Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- Metabolic interactions between bacterial co-isolates from catheter-associated urinary tract infections.Scientific reports · 2026Article
- Urine Leukocyte Counts for Differentiating Asymptomatic Bacteriuria From Urinary Tract Infection and Predicting Secondary Bacteremia.Journal of Korean medical science · 2025Article
- Prediction of the bacterial shape in urinary tract infections with the Sysmex UF-1000i analyser: technical note.Annals of medicine and surgery (2012) · 2023Article
- Toilet-based continuous health monitoring using urine.Nature reviews. Urology · 2022Review
- Evaluation of the detection ability of uropathogen morphology and vaginal contamination by the Atellica UAS800 automated urine microscopy analyzer and its effectiveness.Journal of clinical laboratory analysis · 2021Article
- Rapid identification of uropathogens by combining Alfred 60 system with matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry technology.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020Article
- Rapid Detection and Antibiotic Susceptibility of UropathogenicMicroorganisms · 2020Article
- UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections.MicrobiologyOpen · 2020Article
- Prediction of Uropathogens by Flow Cytometry and Dip-stick Test Results of Urine Through Multivariable Logistic Regression Analysis.PloS one · 2020Article
- Age-Specific Cutoffs of the Sysmex UF-1000i Automated Urine Analyzer for Rapid Screening of Urinary Tract Infections in Outpatients.Annals of laboratory medicine · 2019Article
- Rapid Identification and Antimicrobial Susceptibility Testing for Urinary Tract Pathogens by Direct Analysis of Urine Samples Using a MALDI-TOF MS-Based Combined Protocol.Frontiers in microbiology · 2019Article
- Rapid Screening of Urinary Tract Infection and Discrimination of Gram-Positive and Gram-Negative Bacteria by Automated Flow Cytometric Analysis Using Sysmex UF-5000.Journal of clinical microbiology · 2018Article
- Comparing Two Automated Techniques for the Primary Screening-Out of Urine Culture.Frontiers in medicine · 2018Article
- Validation and Search of the Ideal Cut-Off of the Sysmex UF-1000iFrontiers in medicine · 2018Article
- A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to identify culture-negative urine specimens in patients with UTI.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017Article
- Prospective Evaluation of Light Scatter Technology Paired with Matrix-Assisted Laser Desorption IonizationJournal of clinical microbiology · 2017Article
- How Often Do Clinically Diagnosed Catheter-Associated Urinary Tract Infections in Nursing Homes Meet Standardized Criteria?Journal of the American Geriatrics Society · 2017Article
- Automated Flow Cytometry: An Alternative to Urine Culture in a Routine Clinical Microbiology Laboratory?International journal of microbiology · 2017Review
- Evaluation of the appropriate time period between sampling and analyzing for automated urinalysis.Biochemia medica · 2016Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urinary tract infections (UTIs) are the second most common bacterial infection. Urine culture is the gold standard for diagnosis, but new techniques, such as flow cytometry analysis (FCA), have been introduced. The aim of the present study was to evaluate FCA characteristics regarding bacteriuria, leukocyturia, and erythrocyturia in relation to cultured uropathogens in specimens from patients with a suspected UTI. We also wanted to evaluate whether the FCA characteristics can identify uropathogens prior to culture. From a prospective study, 1,587 consecutive urine specimens underwent FCA prior to culture during January and February 2012. Outpatients and inpatients (79.6% and 19.4%, respectively) were included, of whom women represented 67.5%. In total, 620 specimens yielded growth, of which Escherichia coli represented 65%, Enterococcus spp. 8%, Klebsiella spp. 7%, and Staphylococcus spp. 5%. For the uropathogens, the outcome of FCA was compared against the results for specimens with E. coli and those with a negative culture. E. coli had high bacterial (median, 17,914/μl), leukocyte (median, 348/μl), and erythrocyte (median, 23/μl) counts. With the exception of Klebsiella spp., the majority of the uropathogens had considerable or significantly lower bacterial counts than that of E. coli. High leukocyte counts were found in specimens with Staphylococcus aureus, Proteus mirabilis, Pseudomonas aeruginosa, and group C streptococci. Elevated erythrocyte counts were found for P. vulgaris, P. aeruginosa, and group C streptococci, as well as for Staphylococcus saprophyticus. In essence, FCA adds new information about the bacterial, leukocyte, and erythrocyte counts in urine specimens for different uropathogens. Based on FCA characteristics, uropathogens can be classified and identified prior to culture. E. coli and Klebsiella spp. have similar FCA characteristics.
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Registered trials
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