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. 2017 Jun 12:6:865.
doi: 10.12688/f1000research.11767.1. eCollection 2017.

Platelet distribution width, mean platelet volume and haematological parameters in patients with uncomplicated plasmodium falciparum and P. vivax malaria

Affiliations

Platelet distribution width, mean platelet volume and haematological parameters in patients with uncomplicated plasmodium falciparum and P. vivax malaria

Elrazi A Ali et al. F1000Res. .

Abstract

Background: The association between the haematological profile (including abnormal platelets) and malaria is not completely understood. There are few published data on haematological profiles of malaria patients in areas with unstable malaria transmission. The current study was conducted to investigate if the haematological parameters, including platelet indices, were reliable predictors for microscopically-diagnosed malaria infection.

Methods: A case-control study with a total of 324 participants (162 in each arm) was conducted at the out-patient clinic of New Halfa hospital during the rainy and post rainy season (August 2014 through to January 2015). The cases were patients with uncomplicated Plasmodium falciparum (107; 66.9%) and P. vivax malaria (55, 34.0%) infections. The controls were aparasitemic individuals. The haematological parameters were investigated using an automated hemo-analyser.

Results: There was no significant difference in the mean (±SD) age between the study groups; however, compared to the controls, patients with uncomplicated malaria had significantly lower haemoglobin, leucocyte and platelet counts, and significantly higher red cell distribution width (RDW), platelet distribution width (PDW) and mean platelet volume (MPV).

Conclusions: The study revealed that among the haematological indices, PDW and MPV were the main predictors for uncomplicated P. falciparum and P . vivax malaria infection . Abbreviations: OR: odds ratio.

Keywords: MPV; P. vivax; PDW; hematological profile; plasmodium falciparum.

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Conflict of interest statement

Competing interests: No competing interests were disclosed.

Figures

Figure 1.
Figure 1.. Receiver operating characteristic (ROC) curve and the associated reliability of blood parameters in predicting malaria in eastern Sudan.

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