ArticleBMC infectious diseases2016
Fast and accurate prediction of positive and negative urine cultures by flow cytometry.
Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Trial
- Urine flow cytometry in older adults urinary tract infection diagnosis: is it time to reevaluate thresholds for men and women?BMC geriatrics · 2025Article
- Laboratory Tests, Bacterial Resistance, and Treatment Options in Adult Patients Hospitalized with a Suspected Urinary Tract Infection.Diagnostics (Basel, Switzerland) · 2024Review
- Urine Flow Cytometry and Dipstick Analysis in Diagnosing Bacteriuria and Urinary Tract Infections among Adults in the Emergency Department-A Diagnostic Accuracy Trial.Diagnostics (Basel, Switzerland) · 2024Article
- Assessment of UTI Diagnostic Techniques Using the Fuzzy-PROMETHEE Model.Diagnostics (Basel, Switzerland) · 2023Article
- Bacteria-Infected Artificial Urine Characterization Based on a Combined Approach Using an Electronic Tongue Complemented withBiosensors · 2023Article
- Portable Prussian Blue-Based Sensor for Bacterial Detection in Urine.Sensors (Basel, Switzerland) · 2022Article
- Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients.Urologia internationalis · 2022Article
- Comparison of Laboratory Diagnosis of Urinary Tract Infections Based on Leukocyte and Bacterial Parameters Using Standardized Microscopic and Flow Cytometry Methods.International journal of nephrology · 2022Article
- The diagnostic value of rapid urine test platform UF-5000 for suspected urinary tract infection at the emergency department.Frontiers in cellular and infection microbiology · 2022Article
- Prediction of urine culture results by automated urinalysis with digital flow morphology analysis.Scientific reports · 2021Article
- Clinical Validation of Innovative Optical-Sensor-Based, Low-Cost, Rapid Diagnostic Test to Reduce Antimicrobial Resistance.Journal of clinical medicine · 2019Article
- High false positive rate of white blood cells in urine samples of pregnant women may be caused by epithelial cells being misclassified by the sysmex UF-1000i urine flow cytometer.Cytometry. Part B, Clinical cytometry · 2019Article
- No need for a urine culture in elderly hospitalized patients with a negative dipstick test result.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Article
- Validation and Search of the Ideal Cut-Off of the Sysmex UF-1000iFrontiers in medicine · 2018Article
- Automated Flow Cytometry: An Alternative to Urine Culture in a Routine Clinical Microbiology Laboratory?International journal of microbiology · 2017Review
- Unmet Need of Antenatal Screening for Asymptomatic Bacteriuria: A Risk Factor for Adverse Outcomes of Pregnancy.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUrinary tract infection (UTI) is a widespread infectious disease in humans. Urine culture, a huge workload in the microbiology laboratory, is still the standard diagnostic test for UTI, but most of the cultures are negative. A reliable screening method could reduce unnecessary cultures and quicken reporting of negative results.
methodsWe evaluated the usefulness of a flow cytometry (FC) screening method in the prediction of positive urine culture to reduce the number of urine cultures. The urine specimens sent to the laboratory for culture were tested with the flow cytometer Accuri C6. FC bacterial counts were compared to standard urine culture results to assess the best cut-off values.
resultsTwo hundred nine urine samples were included, of which 79 (37.8 %) were culture positive. On comparing the culture and the FC data in the ROC curve, the FC bacterial counts of ≥10(6) bacteria/mL provided a reliable screening for bacteriuria with a sensitivity and specificity of 99 and 58 %, respectively. All negative FC results (<10(6) bacteria/mL) showed a negative predictive value of 99 % with a negative likelihood ratio of 0.02. The FC bacterial counts of ≥10(8)/mL showed a positive predictive value of 99 % with a positive likelihood ratio of 60.9.
conclusionsCounting bacteria in human urine samples by the FC is a fast, accurate and cost-effective screening method for bacteriuria. Our results showed that FC is able to rule out UTI, which can lead to a substantial reduction (36 %) of urine cultures. It also demonstrated that this method predicts positive cultures accurately.
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