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Improving clinical performance of urine sediment analysis by implementation of intelligent verification criteria

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Abstract
Abstract Objectives Urinary test strip and sediment analysis integrated with intelligent verification criteria can help to select samples that need manual review. This study aimed to evaluate the improvement in the diagnostic performance of combined urinary test strip and urinary sediment analysis using intelligent verification criteria on the latest generation automated test strip and urinary fluoresce flow cytometry (UFFC) analysers. Methods Urine test strip and sediment analysis were performed using the Sysmex UC-3500 and UF-5000 (Kobe, Japan) on 828 urinary samples at the clinical laboratory of the Ghent University Hospital. The results were compared to manual microscopy using phase-contrast microscopy as a reference. After the application of the intelligent verification criteria, we determined whether the diagnostic performance of urine sediment analysis could be improved. Results Application of intelligent verification criteria resulted in an increase in specificity from 88.5 to 96.8% and from 88.2 to 94.9% for red blood cells and white blood cells, respectively. Implementing review rules for renal tubular epithelial cells and pathological casts increased the specificity from 66.7 to 74.2% and from 96.2 to 100.0%, respectively; and improved the diagnostic performance of urinary crystals and atypical cells. Conclusions The implementation of review rules improved the diagnostic performance of UFFC, thereby increasing the reliability and quality of urine sediment results.
Keywords
review criteria, urinary test strip analysis, urine sediment analysis

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MLA
Oyaert, Matthijs, et al. “Improving Clinical Performance of Urine Sediment Analysis by Implementation of Intelligent Verification Criteria.” CLINICAL CHEMISTRY AND LABORATORY MEDICINE, vol. 60, no. 11, 2022, pp. 1772–79, doi:10.1515/cclm-2022-0617.
APA
Oyaert, M., Maghari, S., Speeckaert, M., & Delanghe, J. (2022). Improving clinical performance of urine sediment analysis by implementation of intelligent verification criteria. CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 60(11), 1772–1779. https://doi.org/10.1515/cclm-2022-0617
Chicago author-date
Oyaert, Matthijs, Sena Maghari, Marijn Speeckaert, and Joris Delanghe. 2022. “Improving Clinical Performance of Urine Sediment Analysis by Implementation of Intelligent Verification Criteria.” CLINICAL CHEMISTRY AND LABORATORY MEDICINE 60 (11): 1772–79. https://doi.org/10.1515/cclm-2022-0617.
Chicago author-date (all authors)
Oyaert, Matthijs, Sena Maghari, Marijn Speeckaert, and Joris Delanghe. 2022. “Improving Clinical Performance of Urine Sediment Analysis by Implementation of Intelligent Verification Criteria.” CLINICAL CHEMISTRY AND LABORATORY MEDICINE 60 (11): 1772–1779. doi:10.1515/cclm-2022-0617.
Vancouver
1.
Oyaert M, Maghari S, Speeckaert M, Delanghe J. Improving clinical performance of urine sediment analysis by implementation of intelligent verification criteria. CLINICAL CHEMISTRY AND LABORATORY MEDICINE. 2022;60(11):1772–9.
IEEE
[1]
M. Oyaert, S. Maghari, M. Speeckaert, and J. Delanghe, “Improving clinical performance of urine sediment analysis by implementation of intelligent verification criteria,” CLINICAL CHEMISTRY AND LABORATORY MEDICINE, vol. 60, no. 11, pp. 1772–1779, 2022.
@article{8770794,
  abstract     = {{Abstract
Objectives
Urinary test strip and sediment analysis integrated with intelligent verification criteria can help to select samples that need manual review. This study aimed to evaluate the improvement in the diagnostic performance of combined urinary test strip and urinary sediment analysis using intelligent verification criteria on the latest generation automated test strip and urinary fluoresce flow cytometry (UFFC) analysers.

Methods
Urine test strip and sediment analysis were performed using the Sysmex UC-3500 and UF-5000 (Kobe, Japan) on 828 urinary samples at the clinical laboratory of the Ghent University Hospital. The results were compared to manual microscopy using phase-contrast microscopy as a reference. After the application of the intelligent verification criteria, we determined whether the diagnostic performance of urine sediment analysis could be improved.

Results
Application of intelligent verification criteria resulted in an increase in specificity from 88.5 to 96.8% and from 88.2 to 94.9% for red blood cells and white blood cells, respectively. Implementing review rules for renal tubular epithelial cells and pathological casts increased the specificity from 66.7 to 74.2% and from 96.2 to 100.0%, respectively; and improved the diagnostic performance of urinary crystals and atypical cells.

Conclusions
The implementation of review rules improved the diagnostic performance of UFFC, thereby increasing the reliability and quality of urine sediment results.}},
  author       = {{Oyaert, Matthijs and Maghari, Sena and Speeckaert, Marijn and Delanghe, Joris}},
  issn         = {{1434-6621}},
  journal      = {{CLINICAL CHEMISTRY AND LABORATORY MEDICINE}},
  keywords     = {{review criteria,urinary test strip analysis,urine sediment analysis}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{1772--1779}},
  title        = {{Improving clinical performance of urine sediment analysis by implementation of intelligent verification criteria}},
  url          = {{http://doi.org/10.1515/cclm-2022-0617}},
  volume       = {{60}},
  year         = {{2022}},
}

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