DIAGNOSIS OF MALARIA IN PREGNANCY: A COMPARISON OF PARASITAEMIA ON PERIPHERAL BLOOD FILM SMEAR WITH INTRADERMAL SMEAR IN IRRUA SPECIALIST TEACHING HOSPITAL.
Background: Malaria is a major public health problem in sub-Saharan Africa and
presents an enormous diagnostic challenge. Placenta histology is considered the
gold standard of malaria diagnosis in pregnancy. Histological diagnosis of placenta
malaria in an ongoing pregnancy is technically difficult and has limited applicability.
Current diagnosis of malaria in pregnancy relies on peripheral venous blood
microscopy; unfortunately very few studies have compared its accuracy to that of
the gold standard, placenta histology. Similarly, though a few recent studies
suggests that intradermal smear microscopy may be more accurate than peripheral
venous blood microscopy in the diagnosis of malaria in pregnancy, there are no
studies in Nigerian women that have assessed its accuracy in comparison to the
gold standard.
Objectives: The objectives of the study were to determine the accuracy of
intradermal smear microscopy, peripheral venous blood microscopy and to
compare their accuracies in the diagnosis of malaria in pregnancy. The cost
effectiveness of both diagnostic tests were also compared.
Patients and Methods: In a prospective comparative survey, four hundred and six
consecutive pregnant Nigerian women were recruited. Four samples (intradermal
blood smear, peripheral venous blood smear, cord blood smear and placenta
histology) were examined for evidences of malaria parasites. Information relating
to the use of intermittent preventive treatment with
sulphadoxine/pyremethamine, history of fever attack, intrapartum pyrexia,
maternal anaemia, birth asphyxia, congenital malaria, neonatal anaemia, low birth
weights and patients' preference for the two techniques were obtained. The
correlations of malaria parasitemia on intradermal smear microscopy and
peripheral venous blood microscopy to malaria parasitization on placenta histology
were analysed using the SPSS 16 version. Tests of statistical significance were done
using the Chi square method at 95% confidence interval. Sensitivity, specificity and
accuracy rates were used to assess the validity of both test method.