Literature DB >> 32647426

Application of Sysmex XN-Series Automated Haematology Analyser in the Rapid Detection of Malaria.

Aparna Ningombam1, Abhirup Sarkar1, Shreyam Acharya1, Anita Chopra2, Kundan Kumar1, Arulselvi Subramanian1.   

Abstract

Malaria, an important parasitic disease worldwide, still has diagnostic challenges in the laboratory. Many studies have been conducted on the detection ability of haematology analysers for malaria. We evaluated the Sysmex XN-series analyser as a tool for detection of malaria by analysing the leukocyte cell population data (LCPD), scattergrams and associated Flow Cytometry Standard (FCS) data from both the WNR (white cell nucleated) and WDF (white cell differential) channels. 1281 clinically suspected cases of malaria were screened for malaria by peripheral blood smear examination and were run in the Sysmex XN-1000 for analysis of haematological parameter data, LCPD, all the scattergrams and FCS data. 1281 clinically suspected cases of malaria were screened for malaria by peripheral blood smear examination and were run in the Sysmex XN-1000 for analysis of haematological parameter data, LCPD, all the scattergrams and FCS data. 48 cases had malarial parasite on microscopy; of which, 41 cases were of Plasmodium vivax, 6 cases of Plasmodium falciparum and 1 case of mixed infection. 46 malaria-positive samples showed certain patterns of clusters in the scattergrams of both WDF and WNR channels. A case with only a few ring forms of P. vivax and another with very low parasite load having only gametocyte of P. falciparum didn't show the distinctive cluster. The most distinctive clusters for all other cases were seen in WNR (SFL-SSC) and WNR (SSC-FSC) scattergrams. FCS data for the same were analysed to gate for those events. The gated events correlated (Spearman ρ = 0.77, p < 0.01) with the parasite load of the patients. By observing the scattergrams and different parameters in the Sysmex XN-series analyser, malaria can be detected from the analyser itself. © Indian Society of Hematology and Blood Transfusion 2020.

Entities:  

Keywords:  Autoanalyzer; FCS; Haematology; Malaria; Sysmex

Year:  2020        PMID: 32647426      PMCID: PMC7326751          DOI: 10.1007/s12288-020-01276-x

Source DB:  PubMed          Journal:  Indian J Hematol Blood Transfus        ISSN: 0971-4502            Impact factor:   0.900


  12 in total

1.  Automated detection of malaria by means of the haematology analyser Coulter GEN.S.

Authors:  C Fourcade; M J C Casbas; H Belaouni; J J D Gonzalez; P J J Garcia; M A E Pepio
Journal:  Clin Lab Haematol       Date:  2004-12

2.  Automated Plasmodium detection by the Sysmex XN hematology analyzer.

Authors:  Cécile Dumas; Anne-Lise Bienvenu; Sandrine Girard; Stéphane Picot; Gisèle Debize; Brigitte Durand
Journal:  J Clin Pathol       Date:  2018-01-03       Impact factor: 3.411

3.  Development of an automated malaria discriminant factor using VCS technology.

Authors:  Carol Briggs; Anabela Da Costa; Lyn Freeman; Ilse Aucamp; Busisiwe Ngubeni; Samuel J Machin
Journal:  Am J Clin Pathol       Date:  2006-11       Impact factor: 2.493

4.  Automated detection of malaria-associated pseudoeosinophilia and abnormal WBC scattergram by the Sysmex XE-2100 hematology analyzer: a clinical study with 1,801 patients and real-time quantitative PCR analysis in vivax malaria-endemic area.

Authors:  Jong-Ha Yoo; Jaewoo Song; Kyung-A Lee; Young-Kyu Sun; Young-Ah Kim; Tae Sung Park; Jong Rak Choi
Journal:  Am J Trop Med Hyg       Date:  2010-03       Impact factor: 2.345

5.  Detection of imported malaria with the Cell-Dyn 4000 hematology analyzer.

Authors:  Peter C Wever; Yvonne M C Henskens; Piet A Kager; Jacob Dankert; Tom van Gool
Journal:  J Clin Microbiol       Date:  2002-12       Impact factor: 5.948

6.  Automated detection of malaria-associated intraleucocytic haemozoin by Cell-Dyn CD4000 depolarization analysis.

Authors:  C S Scott; D van Zyl; E Ho; D Meyersfeld; L Ruivo; B V Mendelow; T L Coetzer
Journal:  Clin Lab Haematol       Date:  2003-04

7.  Usefulness of automated cell counter in detection of malaria in a cancer set up--our experience.

Authors:  Monica Jain; Surbhi Gupta; Jyotika Jain; Rajesh Kumar Grover
Journal:  Indian J Pathol Microbiol       Date:  2012 Oct-Dec       Impact factor: 0.740

8.  Evaluation of the Abbott Cell-Dyn 4000 hematology analyzer for detection and therapeutic monitoring of Plasmodium vivax in the Republic of Korea.

Authors:  In Bum Suh; Hae Joong Kim; Jin Yong Kim; Sang Woo Lee; Seong Soo A An; Woo Ju Kim; Chae Seung Lim
Journal:  Trop Med Int Health       Date:  2003-12       Impact factor: 2.622

Review 9.  Automated haematology analysis to diagnose malaria.

Authors:  Germán Campuzano-Zuluaga; Thomas Hänscheid; Martin P Grobusch
Journal:  Malar J       Date:  2010-11-30       Impact factor: 2.979

10.  An automated haematology analyzer XN-30 distinguishes developmental stages of falciparum malaria parasite cultured in vitro.

Authors:  Takahiro Tougan; Yuhgi Suzuki; Sawako Itagaki; Munehisa Izuka; Yuji Toya; Kinya Uchihashi; Toshihiro Horii
Journal:  Malar J       Date:  2018-02-02       Impact factor: 2.979

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  2 in total

1.  Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.

Authors:  Stéphane Picot; Thomas Perpoint; Christian Chidiac; Alain Sigal; Etienne Javouhey; Yves Gillet; Laurent Jacquin; Marion Douplat; Karim Tazarourte; Laurent Argaud; Martine Wallon; Charline Miossec; Guillaume Bonnot; Anne-Lise Bienvenu
Journal:  Parasite       Date:  2022-05-31       Impact factor: 3.020

2.  White blood cell differential fluorescence abnormal scattergram: A useful indicator for early detection of malarial parasite.

Authors:  Madeeha Rehan; Attika Khalid; Fariha Nasreen
Journal:  Pak J Med Sci       Date:  2022 Mar-Apr       Impact factor: 1.088

  2 in total

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