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Disease Markers
Volume 2019, Article ID 5853486, 10 pages
https://doi.org/10.1155/2019/5853486
Research Article

Diagnosis of Urinary Tract Infections by Urine Flow Cytometry: Adjusted Cut-Off Values in Different Clinical Presentations

1Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
2Department of Anesthesiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
3Department of Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
4Department of Clinical Chemistry and Insel Data Science Center (IDSC), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
5Department of Family & Social Medicine & Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA

Correspondence should be addressed to Martin Müller; moc.liamg@rellymnitram

Received 11 October 2018; Revised 3 January 2019; Accepted 6 February 2019; Published 3 March 2019

Academic Editor: Giuseppe Biondi-Zoccai

Copyright © 2019 Sabine K. Schuh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Ozdem, T. Bayraktar, C. Oktay, R. Sari, and M. Gültekin, “The prevalence of asymptomatic pyuria in diabetic patients: comparison of the Sysmex UF-100 automated urinalysis analyzer with Fuchs–Rosenthal hemacytometer,” Clinical Biochemistry, vol. 39, no. 9, pp. 873–878, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. T. A. Rowe and M. Juthani-Mehta, “Urinary tract infection in older adults,” Aging Health, vol. 9, no. 5, pp. 519–528, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. F. L. Ruben, S. R. Dearwater, C. W. Norden et al., “Clinical infections in the noninstitutionalized geriatric age group: methods utilized and incidence of infections. The Pittsburgh Good Health Study,” American Journal of Epidemiology, vol. 141, no. 2, pp. 145–157, 1995. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Foxman, “The epidemiology of urinary tract infection,” Nature Reviews Urology, vol. 7, no. 12, pp. 653–660, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. O. P. Kalra and A. Raizada, “Approach to a patient with urosepsis,” Journal of Global Infectious Diseases, vol. 1, no. 1, pp. 57–63, 2009. View at Publisher · View at Google Scholar
  6. L. M. A. J. Muller, K. J. Gorter, E. Hak et al., “Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus,” Clinical Infectious Diseases, vol. 41, no. 3, pp. 281–288, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. B. R. Shah and J. E. Hux, “Quantifying the risk of infectious diseases for people with diabetes,” Diabetes Care, vol. 26, no. 2, pp. 510–513, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. G. Schmiemann, E. Kniehl, K. Gebhardt, M. M. Matejczyk, and E. Hummers-Pradier, “The diagnosis of urinary tract infection,” Deutsches Ärzteblatt International, vol. 107, pp. 361–367, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Delanghe, “New screening diagnostic techniques in urinalysis,” Acta Clinica Belgica, vol. 62, no. 3, pp. 155–161, 2014. View at Publisher · View at Google Scholar
  10. J. C. dos Santos, L. P. Weber, and L. R. R. Perez, “Evaluation of urinalysis parameters to predict urinary-tract infection,” Brazilian Journal of Infectious Diseases, vol. 11, no. 5, pp. 479–481, 2007. View at Publisher · View at Google Scholar
  11. S. Jolkkonen, E.-L. Paattiniemi, P. Kärpänoja, and H. Sarkkinen, “Screening of urine samples by flow cytometry reduces the need for culture,” Journal of Clinical Microbiology, vol. 48, no. 9, pp. 3117–3121, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Manoni, L. Fornasiero, M. Ercolin et al., “Cutoff values for bacteria and leukocytes for urine flow cytometer Sysmex UF-1000i in urinary tract infections,” Diagnostic Microbiology and Infectious Disease, vol. 65, no. 2, pp. 103–107, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. Y.-J. Shang, Q.-Q. Wang, J.-R. Zhang et al., “Systematic review and meta-analysis of flow cytometry in urinary tract infection screening,” Clinica Chimica Acta, vol. 424, pp. 90–95, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Müller, R. Seidenberg, S. K. Schuh et al., “The development and validation of different decision-making tools to predict urine culture growth out of urine flow cytometry parameter,” PLoS One, vol. 13, no. 2, article e0193255, 2018. View at Publisher · View at Google Scholar · View at Scopus
  15. F. J. de Boer, E. Gieteling, H. van Egmond-Kreileman et al., “Accurate and fast urinalysis in febrile patients by flow cytometry,” Infectious Diseases, vol. 49, no. 5, pp. 380–387, 2017. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Martín-Gutiérrez, A. Porras-González, C. Martín-Pérez, J. A. Lepe, and J. Aznar, “Evaluation and optimization of the Sysmex UF1000i system for the screening of urinary tract infection in primary health care elderly patients,” Enfermedades Infecciosas y Microbiología Clínica, vol. 33, no. 5, pp. 320–323, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Stefanovic, D. Roscoe, R. Ranasinghe et al., “Performance assessment of urine flow cytometry (UFC) to screen urines to reflex to culture in immunocompetent and immunosuppressed hosts,” Journal of Medical Microbiology, vol. 66, no. 9, pp. 1308–1315, 2017. View at Publisher · View at Google Scholar · View at Scopus
  18. T. Monsen and P. Ryden, “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, vol. 36, no. 9, pp. 1691–1703, 2017. View at Publisher · View at Google Scholar · View at Scopus
  19. S. McGee, “Simplifying likelihood ratios,” Journal of General Internal Medicine, vol. 17, no. 8, pp. 647–650, 2002. View at Publisher · View at Google Scholar · View at Scopus
  20. K. Hajian-Tilaki, “The choice of methods in determining the optimal cut-off value for quantitative diagnostic test evaluation,” Statistical Methods in Medical Research, vol. 27, no. 8, pp. 2374–2383, 2017. View at Publisher · View at Google Scholar · View at Scopus
  21. P. Kent and M. J. Hancock, “Interpretation of dichotomous outcomes: sensitivity, specificity, likelihood ratios, and pre-test and post-test probability,” Journal of Physiotherapy, vol. 62, no. 4, pp. 231–233, 2016. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Farm, A. J. Siddiqui, L. Onelöv et al., “Age-adjusted D-dimer cut-off leads to more efficient diagnosis of venous thromboembolism in the emergency department: a comparison of four assays,” Journal of Thrombosis and Haemostasis, vol. 16, no. 5, pp. 866–875, 2018. View at Publisher · View at Google Scholar · View at Scopus
  23. L. G. M. Giesen, G. Cousins, B. D. Dimitrov, F. A. van de Laar, and T. Fahey, “Predicting acute uncomplicated urinary tract infection in women: a systematic review of the diagnostic accuracy of symptoms and signs,” BMC Family Practice, vol. 11, no. 1, p. 78, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. K. Huysal, Y. U. Budak, A. Ulusoy Karaca et al., “Diagnostic accuracy of UriSed automated urine microscopic sediment analyzer and dipstick parameters in predicting urine culture test results,” Biochemia Medica, vol. 23, pp. 211–217, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. E.-L. Paattiniemi, S. Karumaa, A.-M. Viita et al., “Analysis of the costs for the laboratory of flow cytometry screening of urine samples before culture,” Infectious Diseases, vol. 49, no. 3, pp. 217–222, 2016. View at Publisher · View at Google Scholar · View at Scopus
  26. F. Habibzadeh, P. Habibzadeh, and M. Yadollahie, “On determining the most appropriate test cut-off value: the case of tests with continuous results,” Biochemia Medica, vol. 26, no. 3, pp. 297–307, 2017. View at Publisher · View at Google Scholar · View at Scopus