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Semiquantitative, fully automated urine test strip analysis
Open accessAbstract
Objectives: Urinalysis is one of the most frequently ordered diagnostic laboratory tests. In order to reduce workload and costs, rapid screening tests such as urine test strip analyses are applied. The aim of this study was to evaluate the analytical performance of the UC‐3500 as well as the diagnostic performance in comparison with reference methods. Design and methods: We measured within‐run and between‐run imprecision based on quantitative reflectance values. 347 prospectively included urine specimens were investigated for the presence of glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase activity, and ordinal scale results were compared to an automated urine particle analyzer (UF‐5000, Sysmex, Kobe, Japan) and wet chemistry (Roche Cobas 8000, Mannheim, Germany). Results: Within‐run and between‐run imprecision results based on reflectance data for both the 9 and 11 parameter test strips ranged from 0.07% to 1.36% for the low‐level control and from 0.37% to 6.13% for the high‐level control, depending on the parameter. Regarding diagnostic performance, the sensitivity/specificity for glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase was 100/60%, 94.2/88.2%, 81.8/89.2%, 81.7/92.8%, and 85.1/88.6%, respectively; the negative predictive value was 100%, 83.3%, 89.1%, 94.6%, and 96.1%. The Spearman correlation coefficients of the UC‐3500 vs reference methods ranged from 0.915 to 0.967, depending on the parameter. Conclusion: This fully automated urine test strip analyzer overall shows a satisfying performance and can reliably screen out negative urine samples in order to focus on further characterization of positive samples in the following steps of the workflow.
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References 17 · Cited by 65
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Metadata
- Authors
- Oyaert, M., & Delanghe, J. R.
- Affiliations
- Ghent University Hospital (BE)
- Corresponding author
- Oyaert, Matthijs
- Venue
- Journal of Clinical Laboratory Analysis
- Publisher
- Wiley
- Published
- 2019-02-25
- Volume
- 33
- Issue
- 5
- Pages
- e22870-e22870
- ISSN
- 0887-8013 (ISSN-L)
- 1098-2825
- PMC
- PMC6595368
- OpenAlex
- W2915647281
- Cited by
- 65
- References
- 17
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 10 · 2023: 12 · 2022: 8 · 2021: 10 · 2020: 5 · 2019: 3
- FWCI
- 4.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Clinical Laboratory Analysis (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Microbiology (medical) › Bacterial Identification and Susceptibility Testing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Keywords
- automated urine analysis, reflectometry, analytical imprecision, diagnostic performance, glucose, proteins, albumin, leukocyte esterase, rapid screening test
- MeSH terms
- Carboxylic Ester Hydrolases, Glycosuria, Humans, Proteinuria, Reagent Strips, Sensitivity and Specificity, Urinalysis, Automation, Laboratory
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