Literature DB >> 12886809

Differences in automated depolarization patterns of Plasmodium falciparum and P. vivax malaria infections defined by the Cell-Dyn CD4000 haematology analyser.

Zainab O Fawzi1, Naila A Fakhro, Randa A Nabhan, Ali Alloueche, Colin Stephen Scott.   

Abstract

Of 1014 samples submitted for full blood count analysis and malaria screening, 854 were designated malaria-negative by blood film microscopy, 79 were unequivocally identified as Plasmodium vivax and 81 as P. falciparum. All samples were additionally analysed with the Abbott Cell-Dyn CD4000 haematology instrument, and leucocyte differential plots of 90 degrees polarized vs. 90 degrees depolarized (NEU-EOS plot) and 90 degrees depolarized vs. 0 degree light (EOS I plot) scatter were specifically examined for abnormal depolarization patterns. Depolarization pattern types were correlated with microscopy (species) results, and these correlations were consolidated by polymerase chain reaction analysis. All 854 microscopically-designated malaria-negative samples showed a type 1 (normal) CD4000 depolarization pattern. Abnormal pattern types 2, 3a and 3b were entirely restricted to one of the two malaria categories. Plasmodium falciparum malaria showed two CD4000 pattern types only; a 'normal' type 1 pattern was seen in 36/75 (48%) cases and the remaining 39 cases were all abnormal pattern type 3a. In contrast, most (79/85) P. vivax malaria cases showed a distinctive clustered EOS I population (types 2 and 3b patterns) that was not seen with P. falciparum. Automated depolarization analysis provides an effective means of detecting malaria-associated haemozoin, and the patterns of intracellular haemozoin further appear to provide species differentiation between P. falciparum and P. vivax.

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Year:  2003        PMID: 12886809     DOI: 10.1016/s0035-9203(03)90029-0

Source DB:  PubMed          Journal:  Trans R Soc Trop Med Hyg        ISSN: 0035-9203            Impact factor:   2.184


  3 in total

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Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

Review 2.  A research agenda for malaria eradication: diagnoses and diagnostics.

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Review 3.  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

  3 in total

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