Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Utvärdering av instrumentet UF-5000 för automatiserad urinpartikelanalys i en metodjämförelse med manuell mikroskopering av urinsediment
Jönköping University, School of Health and Welfare, HHJ, Dep. of Natural Science and Biomedicine.
Jönköping University, School of Health and Welfare, HHJ, Dep. of Natural Science and Biomedicine.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Inledning: Mikroskopisk analys av urinsediment anses i dagsläget vara gold standard inom urinsedimentdiagnostik, trots att metoden ofta är otillräckligt standardiserad. En rad automatiserade instrument, såsom UF-5000, finns idag tillgängliga och kompenserar för problematiken med den gamla metoden. Analys av urinsediment är avgörande vid flertal njursjukdomar, där bland annat erytrocyter, leukocyter, epitelceller, cylindrar och kristaller är av stort diagnostiskt värde. Syfte: Syftet var att utvärdera det automatiserade urinpartikelinstrumentet UF-5000 samt att jämföra metoden med manuell ljusmikroskopering av urinsediment. Metod: Vid metodjämförelse analyserades 69 prover med instrumentet UF-5000 samt i mikroskop. Data bearbetades med Passing Bablok-regression, Bland-Altman differensanalys samt Spearmans rangkorrelationkoefficient. Resultat: Statistisk signifikant skillnad förekom vid metodjämförelsen. Utvärderingen av instrumentet visade hög mätnoggrannhet med undantag för variationskoefficienten vid låg leukocytkoncentration samt avvikelser för instrumentets linjäritet. Diskussion: Då ljusmikroskopering av urinsediment är en otillräckligt standardiserad metod kunde statistiskt signifikanta skillnader ses, vilket kan bero på den bristande referensmetoden. Fortsatta studier där automatiserad metod jämförs med en mer standardiserad manuell mikroskopi är av stor vikt. Även reducering av cut-off för diverse parametrar kan vara aktuellt. Instrumentutvärdering visade en generell mätnoggrannhet med enstaka undantag vilket kan bero på felhantering vid analys. För vidare analys av linjäritet skulle ett ytterligare instrument som komplement kunna användas.

Abstract [en]

Introduction: Microscopy is gold standard for urine sediment analysis, although the method is often insufficiently standardized. Several automated instruments, such as UF-5000, are commercially available on the market. Urine sediment analysis is crucial for diagnosis of kidney and urinary tract diseases where elements such as erythrocytes, leukocytes, epithelial cells, casts and crystals can be identified. Aim: The aim was to evaluate the performance of UF-5000 and compare the method with manual microscopic analysis of urine sediment. Method: Analysis with UF-5000 and microscopy was conducted on 69 samples. Data were processed with Passing Bablok-regression, Bland-Altman bias plot and Spearman's rank order correlation. Result: Comparison showed statistical significance between the two methods. Performance evaluation showed high accuracy apart from the coefficient of variation for low concentration of leukocytes and systematic error for linearity. Discussion: Since microscopy of urine sediment is an insufficiently standardized method, differences were acknowledged caused by discrepancies in the reference method. Further studies where UF-5000 is compared to a more standardized manual microscopy with a larger amount of pathological urine samples is of great importance. Reduction for cut-off may also be relevant. For further analysis of linearity, an additional instrument should be used as a complement.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Casts, crystals, kidney diseases
Keywords [sv]
Cylindrar, kristaller, njursjukdomar
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:hj:diva-40112ISRN: JU-HHJ-BLA-1-20180071OAI: oai:DiVA.org:hj-40112DiVA, id: diva2:1216491
Subject / course
HHJ, Biomedical Laboratory Science
Supervisors
Examiners
Available from: 2018-06-21 Created: 2018-06-11 Last updated: 2018-06-21Bibliographically approved

Open Access in DiVA

fulltext(466 kB)15 downloads
File information
File name FULLTEXT01.pdfFile size 466 kBChecksum SHA-512
a4abac411e3f150e682d3ff68097fb62217dcbde205ddd184451eb305045656154c3fa9cd49a7320f3b56c0483faabb93dc31b31472c0bff15526ab5fd8a47a9
Type fulltextMimetype application/pdf

By organisation
HHJ, Dep. of Natural Science and Biomedicine
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 15 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 42 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf