Authors:
Eniko SarvaryTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary
Transplantation and Surgical Clinic, Semmelweis University, Baross u. 23–25, H-1082, Budapest, Hungary

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D. LeeDiagnosticum Zrt, Budapest, Hungary

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J. VaradiDiagnosticum Zrt, Budapest, Hungary

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M. VargaTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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I. GaalTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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R. ChmelTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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G. BekoI. Department of Medicine, Semmelweis University, Budapest, Hungary

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Z. KanyoDiagnosticum Zrt, Budapest, Hungary

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B. NemesTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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Zs. GerleiTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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J. Fazakas
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L. KoboriTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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Zs. HeroldTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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S. NémethTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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I. GalocziDiagnosticum Zrt, Budapest, Hungary

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J. JarayTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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R. LangerTransplantation and Surgical Clinic, Semmelweis University, Budapest, Hungary

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Abstract

The value of urinary cytology in the diagnosis of different pathological conditions in renal transplantation is particularly important. Manual microscopic urinalysis is a high-volume procedure that currently requires significant labour.

Objective: To automate the sediment evaluation and to make this more accurate using the Iris Diagnostics Automated Urine Microscopy Analyzer (iQ200). Our goal was to compare the manual and automated microscopic data to apply iQ200 in renal function monitoring.

Method: The iQ200 uses digital imaging and Auto Analyte Recognition software to classify urine constituents into 12 analyte categories and quantitatively report.

Results: We determined cut-off values of urine particles in every category, which correlated well with manual microscopic results. The iQ200 was more sensitive for pathological casts than manual microscopic analysis. iQ200 helped the operator to differentiate between isomorphic and dismorphic erythrocytes and between lymphocytes and granulocytes, too. Every pathological constituent could be recognized, which is very important for early recognition of renal impairment, graft rejection and urinary tract infection.

Conclusions: The iQ200 system automatically classifies 12 particles, significantly reducing the need for additional sample preparation, manual microscopic review achieving a high degree of standardization in urinalysis.

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2019  
Scimago
H-index
11
Scimago
Journal Rank
0,220
Scimago
Quartile Score
Medicine (miscellaneous) Q3
Scopus
Cite Score
155/133=1,2
Scopus
Cite Score Rank
General Medicine 199/529 (Q2)
Scopus
SNIP
0,343
Scopus
Cites
206
Scopus
Documents
23

 

Interventional Medicine and Applied Science
Language English
Size  
Year of
Foundation
2009
Publication
Programme
changed title
Volumes
per Year
 
Issues
per Year
 
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2061-1617 (Print)
ISSN 2061-5094 (Online)

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