Literature DB >> 29802648

Automated analysis for differentiating leukocytes in body fluids using the software "biological liquid application" on ADVIA2120/2120i hematology analyzer.

Alessandra Falda1, Paolo Doretto2.   

Abstract

INTRODUCTION: We evaluated the "Biological liquid application ADVIA2120" software for differentiating the percentage of polymorphonucleated (%PMN) and mononucleated cells (%MN) in ascitic, pleural, and peritoneal dialysis (PD) fluid.
METHODS: Biological fluid test results of 193 specimens obtained by automated methods (87 with and 106 without dedicated software) were compared with May-Grünwald-Giemsa (MGG) stained blood smears. Limit of detection (LoD) and quantitation (LoQ), repeatability, and inaccuracy were assessed.
RESULTS: Good agreement between the automated methods with dedicated software and the manual method for %PMN and %MN was obtained for leukocyte differentiation in ascitic and pleural fluids, while correlation with the manual method for PD fluid was poor, both with and without the dedicated software.
CONCLUSIONS: We demonstrated that the automated differentiation of leukocytes with dedicated software on the ADVIA2120 analyzer for body fluids is a good alternative to the microscopic reference method for peritoneal and pleural specimens, but not for PD fluids.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  automated hematology analyzer; biological liquid application ADVIA 2120 software; body fluids; differentiation of leukocytes; microscopic method

Mesh:

Year:  2018        PMID: 29802648      PMCID: PMC6817033          DOI: 10.1002/jcla.22578

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  22 in total

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2.  Peritoneal dialysis-related infections recommendations: 2010 update.

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3.  Automated analysis of pleural fluid total and differential leukocyte counts with the Sysmex XE-2100.

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4.  Clinical characteristics and outcomes of peritoneal dialysis-related peritonitis with different trends of change in effluent white cell count: a longitudinal study.

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5.  Use of the Cell-Dyn Sapphire hematology analyzer for automated counting of blood cells in body fluids.

Authors:  Dieter De Smet; Guy Van Moer; Geert A Martens; Nikolaos Nanos; Lutgarde Smet; Kristin Jochmans; Marc De Waele
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6.  Evaluation of the new body fluid mode on the Sysmex XE-5000 for counting leukocytes and erythrocytes in cerebrospinal fluid and other body fluids.

Authors:  Robert de Jonge; Rob Brouwer; Marieke T de Graaf; Ronald L Luitwieler; Cherina Fleming; Magda de Frankrijker-Merkestijn; Peter A E Sillevis Smitt; Joke G Boonstra; Jan Lindemans
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7.  Evaluation of white blood cell count in peritoneal fluid with five different hemocytometers.

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8.  Cell counting of body fluids: comparison between three automated haematology analysers and the manual microscope method.

Authors:  P Danise; M Maconi; A Rovetti; D Avino; A Di Palma; M Gerardo Pirofalo; C Esposito
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9.  Automated analysis for differentiating leukocytes in body fluids using the software "biological liquid application" on ADVIA2120/2120i hematology analyzer.

Authors:  Alessandra Falda; Paolo Doretto
Journal:  J Clin Lab Anal       Date:  2018-05-25       Impact factor: 2.352

10.  Performance evaluation of the body fluid mode on the platform Sysmex XE-5000 series automated hematology analyzer.

Authors:  A Paris; T Nhan; E Cornet; J-P Perol; M Malet; X Troussard
Journal:  Int J Lab Hematol       Date:  2010-03-03       Impact factor: 2.877

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  2 in total

1.  Automated analysis for differentiating leukocytes in body fluids using the software "biological liquid application" on ADVIA2120/2120i hematology analyzer.

Authors:  Alessandra Falda; Paolo Doretto
Journal:  J Clin Lab Anal       Date:  2018-05-25       Impact factor: 2.352

2.  Utilising low-cost, easy-to-use microscopy techniques for early peritonitis infection screening in peritoneal dialysis patients.

Authors:  Mark Buckup; Janelle M Kaneda; Alisha M Birk; Eleanor Glockner; Ross Venook; Aditya Jain; Shuchita Sharma; Cynthia Wong; Ken Sutha
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

  2 in total

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