Estimating malaria parasite density among pregnant women at central Sudan using actual and assumed white blood cell count
Estimating malaria parasite density among pregnant women at central Sudan using actual and assumed white blood cell count
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Date
2016-02-18
Authors
Adam, Ishag
Elbashir, Leana M
Abdelrahium D. Haggaz
Gamal K Adam
Duria Arayis
Journal Title
Journal ISSN
Volume Title
Publisher
uofk
Abstract
Microscopic examination using Giemsa-stained thick blood films remains the reference
standard for detection of malaria parasites and it is the only method that is widely and
practically available for quantifying malaria parasite density. There are few published data
(there was no study during pregnancy) investigating the parasite density (ratio of counted
parasites within a given number of microscopic fields against counted white blood cells
(WBCs) using actual number of WBCs.
Methods
Parasitaemia was estimated using assumed WBCs (8,000), which was compared to
parasitaemia calculated based on each woman’s WBCs in 98 pregnant women with
uncomplicated Plasmodium falciparum malaria at Medani Maternity Hospital, Central Sudan.
Results
The geometric mean (SD) of the parasite count was 12,014.6 (9,766.5) and 7,870.8
(19,168.8) ring trophozoites /μl, P <0.001 using the actual and assumed (8,000) WBC countrespectively. The median (range) of the ratio between the two parasitaemias (using
assumed/actual WBCs) was 1.5 (0.6-5), i e, parasitaemia calculated assuming WBCs equal to
median (range) 1.5 (0.6-5) times higher than parasitaemia calculated using actual WBCs.
There were 52 out of 98 patients (53%) with ratio between 0.5 and 1.5. For 21 patients (21%)
this ratio was higher than 2, and for five patients (5%) it was higher than 3.
Conclusion
The estimated parasite density using actual WBC counts was significantly lower than the
parasite density estimated using assumed WBC counts. Therefore, it is recommended to use
the patient`s actual WBC count in the estimation of the parasite density.
Description
Keywords
Malaria, Pregnancy, Diagnosis, Microscopy, Sudan