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Contribution of hematology analyzers (Sysmex XN-Series) in the rapid diagnosis of malaria: case reports.

Overview of attention for article published in Annales de Biologie Clinique, March 2023
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Title
Contribution of hematology analyzers (Sysmex XN-Series) in the rapid diagnosis of malaria: case reports.
Published in
Annales de Biologie Clinique, March 2023
DOI 10.1684/abc.2023.1791
Pubmed ID
Authors

Pauline Pitti, Françoise Tassin, Aurore Keutgens

Abstract

Malaria is a potentially severe disease, particularly in Africa. In Europe, the majority of malaria cases come from travelers returning from endemic areas. The non-specific symptomatology may not alert the clinician if this notion of travel is not addressed. However, diagnosis and rapid initiation of treatment prevent the evolution of severe forms of the disease, especially in the case of Plasmodium falciparum infection, which can be life-threatening within 24 hours. Thin and thick blood smears microscopy is the main tools for diagnosis, but some automated hematology analyzers have demonstrated their ability to participate in early diagnosis. We describe two cases illustrating the contribution of the Sysmex XN-9100 automated system for the diagnosis of malaria. The first clinical case described a young man infected with numerous Plasmodium falciparum gametocytes. WNR (white blood cell count) and WDF (white blood cell differenciation) scattergrams showed an additional population, corresponding to gametocytes. The second case focused on a man with neuromalaria and high Plasmodium falciparum parasitaemia. Parasitized red blood cells form an inconspicuous double population on the reticulocyte scattergram, located at the discrimination limit between mature red blood cells and reticulocytes. Scattergram abnormalities, which can be visualized in a few minutes, offer an anticipation of the diagnosis of malaria in comparison to thin and thick smears microscopy, that requiring considerable time and expertise.

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Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from Annales de Biologie Clinique
#139
of 272 outputs
Outputs of similar age
#314,910
of 421,820 outputs
Outputs of similar age from Annales de Biologie Clinique
#2
of 2 outputs
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