Design of Malaria Diagnostic Criteria for the Sysmex XE-2100 Hematology Analyzer

Thick film, the standard diagnostic procedure for malaria, is not always ordered promptly. A failsafe diagnostic strategy using an XE-2100 analyzer is proposed, and for this strategy, malaria diagnostic models for the XE-2100 were developed and tested for accuracy. Two hundred eighty-one samples wer...

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Bibliographic Details
Published in:The American journal of tropical medicine and hygiene 2010-03, Vol.82 (3), p.402-411
Main Authors: Campuzano-Zuluaga, German, Alvarez-Sanchez, Gonzalo, Escobar-Gallo, Gloria Elcy, Valencia-Zuluaga, Luz Marina, Rios-Orrego, Alexandra Marcela, Pabon-Vidal, Adriana, Miranda-Arboleda, Andres Felipe, Blair-Trujillo, Silvia, Campuzano-Maya, German
Format: Article
Language:English
Subjects:
Adult
Animals
Biological and medical sciences
Female
Hematologic Tests - instrumentation
Hematologic Tests - methods
Human protozoal diseases
Humans
Infectious diseases
Leukocyte Count
Malaria
Malaria, Falciparum - blood
Malaria, Falciparum - diagnosis
Malaria, Vivax - blood
Malaria, Vivax - diagnosis
Male
Medical sciences
Models, Biological
Parasitic diseases
Plasmodium falciparum
Plasmodium vivax
Predictive Value of Tests
Protozoal diseases
Young Adult
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Summary:Thick film, the standard diagnostic procedure for malaria, is not always ordered promptly. A failsafe diagnostic strategy using an XE-2100 analyzer is proposed, and for this strategy, malaria diagnostic models for the XE-2100 were developed and tested for accuracy. Two hundred eighty-one samples were distributed into Plasmodium vivax, P. falciparum, and acute febrile syndrome groups for model construction. Model validation was performed using 60% of malaria cases and a composite control group of samples from AFS and healthy participants from endemic and non-endemic regions. For P. vivax, two observer-dependent models (accuracy = 95.3-96.9%), one non-observer-dependent model using built-in variables (accuracy = 94.7%), and one non-observer-dependent model using new and built-in variables (accuracy = 96.8%) were developed. For P. falciparum, two non-observer-dependent models (accuracies = 85% and 89%) were developed. These models could be used by health personnel or be integrated as a malaria alarm for the XE-2100 to prompt early malaria microscopic diagnosis.
ISSN:0002-9637
1476-1645
DOI:10.4269/ajtmh.2010.09-0464