Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Penders, J.
Right arrow Articles by Delanghe, J. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Penders, J.
Right arrow Articles by Delanghe, J. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nephrol Dial Transplant (2004) 19: 463-468
© ERA–EDTA 2004; all rights reserved


Technical Note

Automated flow cytometry analysis of peritoneal dialysis fluid

Joris Penders1, Tom Fiers1, Annemieke M. Dhondt2, Geert Claeys1 and Joris R. Delanghe1

1Department of Clinical Chemistry, Microbiology and Immunology and 2Department of Nephrology, Ghent University Hospital, Ghent, Belgium

Correspondence and offprint requests to: Joris R. Delanghe, Laboratory of Clinical Chemistry, Ghent University Hospital, 2P8, De Pintelaan 185, B-9000 Ghent, Belgium. Email: joris.delanghe{at}ugent.be

Abstract

Background. Recently, the Sysmex UF-100 flow cytometer has been developed to automate urinalysis. We have evaluated this instrument to explore the possibilities of flow cytometry in the analysis of peritoneal dialysis fluid (PD) and have compared the obtained data with those of counting chamber techniques, biochemical analysis and bacterial culture.

Methods. UF-100 data were correlated with microscopy and biochemical data in 135 PD samples. Microbiological analysis was performed in 63 suspected cases of peritonitis.

Results. Good agreement (P < 0.001) was obtained between UF-100 and microscopy data for leukocytes (r = 0.825). UF-100 bacterial count correlated (P < 0.001) with UF-100 leukocyte count (r = 0.549). UF-100 bacterial counts were unreliable in samples where interference by blood platelets was observed. Another major problem was the UF-100 ‘bacterial’ background signal in sterile PD samples. Yeast cells were detected by the flow cytometer in spiked samples.

Conclusions. Flow cytometry of PD with the UF-100 offers a rapid and reliable leukocyte count. Sensitivity of the ‘bacterial’ channel count in predicting positive culture exceeds the sensitivity of conventional Gram stain. Furthermore, additional semi-quantitative information is provided regarding the presence of yeasts.

Keywords: flow cytometry; infection; microorganisms; peritoneal dialysis; UF-100


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.