Homologation of results of manual and automated urine microscopic analysis: a review of the bibliography

Authors

DOI:

https://doi.org/10.56294/saludcyt2024717

Keywords:

Microscopic Examination, Manual Method, Urinary Sediment, Automation, Comparison

Abstract

Introduction: urinalysis represents one of the most requested laboratory tests for the diagnosis and follow-up of urinary and renal system diseases. Although manual microscopy has been the traditional method, its process is characterized by being laborious and time-consuming. For this reason, automated systems have been introduced with the aim of improving the accuracy of the results. 
Objective: to establish the relevance of the homologation of manual and automated urine microscopic analysis results through a literature review.
Methods: this study is based on descriptive research of bibliographic documents with a retrospective analysis. For the collection of information, various databases such as PudMED, Scielo, Google Scholar, Scopus, Elsevier were consulted. During the bibliographic search, 25 articles related to the subject of the study were found, for which the PRISMA methodology was used.
Results: by analyzing the different investigations, it was found that the automated analyzers showed an adequate concordance with manual microscopy for red blood cells, white blood cells and epithelial cells. However, in the case of bacteria and casts, a lower concordance was evidenced. 
Conclusion: urine microscopic analysis is crucial in medical diagnosis. The transition from manual methods to automated equipment has improved the efficiency and accuracy of the results. The comparison between both methods is fundamental to ensure the reliability of the results, which contributes to provide safe and appropriate treatments for patients

References

1. Saldaña Orejón Italo Moisés. Errores preanalíticos en la recolección de orina de 24 horas. An. Fac. med. [Internet]. 2021 Jul [cited 2023 Nov 10]; 82(3): 199-205. Available from: https://doi.org/10.15381/anales.v82i3.19818

2. Arispe M, Callizaya L, Yana L, Mendoza M, Mixto J, Valdez B, et al. Importancia del examen general de orina, en el diagnóstico preliminar de patologías de vías urinarias renales y sistémicas, en mujeres aparentemente sanas. Rev Con-Ciencia [Internet]. 2019;7(1):93–101. Available from: http://www.scielo.org.bo/pdf/rcfb/v7n1/v7n1_a09.pdf

3. Rodr TP, Pin C, Central HU, El A. Notas metodológicas. Automatización del sedimento urinario 18/06/2018 [Internet]. e-notas. 2018. p. 1–6. Available from: https://enotas.astursalud.es/-/automatización-del-sedimento-urinari

4. Sánchez Liana. Comparación de los resultados del examen completo de orina obtenidos por el método manual y automatizado en la Clínica Cayetano Heredia, Huancayo-2021. [Internet]. 2018. Edu.pe. [cited 2023 Nov 16]. Available from: https://repositorio.continental.edu.pe/bitstream/20.500.12394/11267/2/IV_FCS_508_TE_Sanchez_Sobrevilla_2021.pdf

5. Raymundo Velásquez Dany. Manual para el Análisis Físico, Químico y Microscópico de la Orina. Academia.edu [Internet]. [cited 2023 Nov 16]. Available from: https://www.academia.edu/40198683/Manual_para_el_An%C3%A1lisis_F%C3%ADsico_Qu%C3%ADmico_y_Microsc%C3%B3pico_de_la_Orina

6. Loor Moreta KG. Comparación de los resultados del examen general de orina obtenidos por el método automatizado versus el método convencional [Internet]. Repositorio uta. Universidad técnica de Ambato; 2023. Available from: https://repositorio.uta.edu.ec/handle/123456789/19565?mode=ful

7. Xu XT, Zhang J, Chen P, Wang B, Xia Y. Urine Sediment Detection Based on Deep Learning. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag; 2019. p. 543–52.

8. Zhang R, Ma H, Yuan H, Guo H, Jiao B, Zhang Y, et al. Establishment of a reference procedure to measure urine-formed elements and evaluation of an automated urine analyzer. Scand J Clin Lab Invest [Internet]. 2019 Nov 17 [cited 2023 Nov 16];79(8):579–83. Available from: https://www.tandfonline.com/doi/abs/10.1080/00365513.2019.1680860

9. Cho EJ, Ko DH, Lee W, Chun S, Lee HK, Min WK. The efficient workflow to decrease the manual microscopic examination of urine sediment using on-screen review of images. Clin Biochem. 2018 Jun 1; 56:70–4.

10. Oyaert M, Delanghe J. Progress in Automated Urinalysis. Ann Lab Med [Internet]. 2019 Jan 28 [cited 2023 Nov 16];39(1):15–22. Available from: https://www.annlabmed.org/journal/view.html?doi=10.3343/alm.2019.39.1.15

11. Chen Y, Zhang Z, Lin Z, Wu Y, Zhao Y, Wang G, Jing J. Sysmex UF-5000 Automatic Urine Sediment Analyzer Can Improve the Accuracy of Epithelial Cell Detection - PubMed [Internet]. 2021 Jul [cited 2023 Nov 16] ;51(4):562-569. Available from: https://pubmed.ncbi.nlm.nih.gov/34452897/

12. Shukuya K, Morita Y, Hisasue T, Ono Y, Tomiyasu S, Kurano M, et al. Comparison of the clinical performance of the Atyp.C parameter of the UF-5000 fully automated urine particle analyzer with that of microscopic urine sediment analysis. Pract Lab Med. 2023 Aug 1;36: e00328.

13. Cho J, Oh KJ, Jeon BC, Lee SG, Kim JH. Comparison of five automated urine sediment analyzers with manual microscopy for accurate identification of urine sediment. Clin Chem Lab Med. 2019;

14. Cavanaugh C, Perazella MA. Urine Sediment Examination in the Diagnosis and Management of Kidney Disease: Core Curriculum 2019. American Journal of Kidney Diseases [Internet]. 2019 Feb 1 [cited 2023 Nov 16];73(2):258–72. Available from: http://www.ajkd.org/article/S0272638618308734/fulltext

15. Montalvo Torres MA, Peralta Mosquera MA, Robalino Montalvo SJ, Ordoñez Revelo MB. Comparación del análisis de orina por el método manual y el automatizado. Cienc Digit [Internet]. 2019;3(3.3):177-86. Available from: 10.33262/cienciadigital. v3i3.3.791

16. Laiwejpithaya S, Wongkrajang P, Reesukumal K, Bucha C, Meepanya S, Pattanavin C, et al. UriSed 3 and UX-2000 automated urine sediment analyzers vs manual microscopic method: A comparative performance analysis. J Clin Lab Anal. 2018 Feb 1;32(2)

17. Beňovská M, Wiewiorka O, Pinkavová J. Evaluation of FUS-2000 urine analyzer: analytical properties and particle recognition. Scand J Clin Lab Invest. 2018 Feb 17;78(1–2):143–8.

18. Tantisaranon P, Dumkengkhachornwong K, Aiadsakun P, Hnoonual A. A comparison of automated urine analyzers cobas 6500, UN 3000-111b and iRICELL 3000 with manual microscopic urinalysis. Pract Lab Med. 2021 Mar 1;24: e00203.

19. Kucukgergin C, Ademoglu E, Omer B, Genc S. Performance of automated urine analyzers using flow cytometric and digital image-based technology in routine urinalysis. Scand J Clin Lab Invest [Internet]. 2019 Oct 3 [cited 2023 Nov 16];79(7):468–74. Available from: https://www.tandfonline.com/doi/abs/10.1080/00365513.2019.1658894

20. Ince FD, Ellidağ HY, Koseoğlu M, Şimşek N, Yalçin H, Zengin MO. The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis. Pract Lab Med. 2016; 5:14–20. Avaliable from: http://dx.doi.org/10.1016/j.plabm.2016.03.002

21. Enko D, Stelzer I, Böckl M, Derler B, Schnedl WJ, Anderssohn P, et al. Comparison of the diagnostic performance of two automated urine sediment analyzers with manual phase-contrast microscopy. Clin Chem Lab Med. 2020 Feb 1;58(2):268–73.

22. Liu H, Li Q, Zhang Y, Huang D, Yu F. Consistency analysis of the Sysmex UF-5000 and Atellica UAS 800 urine sedimentation analyzers. J Clin Lab Anal [Internet]. 2022 Sep 1 [cited 2023 Nov 16];36(9): e24659. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/jcla.24659

23. Bakan E, Bayraktutan Z, Baygutalp NK, Gul MA, Umudum FZ, Bakan N. Evaluation of the analytical performances of cobas 6500 and sysmex UN series automated urinalysis systems with manual microscopic particle counting. Biochem Med (Zagreb) [Internet]. 2018 Jun 15 [cited 2023 Nov 16];28(2 Special Issue):0–0. Available from: https://www.biochemia-medica.com/en/journal/28/10.11613/BM.2018.020712

24. Angulo J, Moncayo J. Homologación de resultados del análisis de orina manual y automatizado en el laboratorio clínico del Hospital Provincial General Docente de Riobamba. [Internet]. 2018. Repositorio UNACH. [cited 2023 Nov 16]. Available from: http://dspace.unach.edu.ec/bitstream/51000/4609/1/UNACH-EC-FCS-LAB-CLIN-2018-0003.pdf

25. Jinde YNQ, Toapanta VHG. La automatización del examen de orina vista desde el Laboratorio Clínico una revisión bibliográfica: The automation of the urine test seen from the Clinical Laboratory a bibliographical review. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades [Internet]. 2023 May 29 [cited 2023 Dec 5];4(2):1355–69. Available from: https://latam.redilat.org/index.php/lt/article/view/688

Downloads

Published

2024-01-01

How to Cite

1.
Rugel Moposita JD, Guangasig Toapanta VH. Homologation of results of manual and automated urine microscopic analysis: a review of the bibliography. Salud, Ciencia y Tecnología [Internet]. 2024 Jan. 1 [cited 2024 Dec. 10];4:717. Available from: https://sct.ageditor.ar/index.php/sct/article/view/880