Malaria Clinical Trial
Official title:
Can Treatment of Malaria be Restricted to Parasitologically Confirmed Malaria? A School-Based Prospective, Exposed/Non Exposed to Fever, Study in Benin.
The investigators performed a prospective study, in order to assess the feasibility and safety of restricting antimalarials to rapid diagnostic test (RDT)-confirmed cases in children aged 5 to 15 years-old
This study was designed to measure the incidence of malaria attacks during a 2-week
follow-up period in 2 populations of patients. First, an index group (IG, exposed to fever)
constituted by schoolchildren attending the school nursery for fever and not diagnosed
malaria, based on a negative HRP2-based RDT. Second, a control group (CG, not exposed to
fever) constituted of apparently healthy schoolchildren paired with index cases on gender,
age, week of inclusion and malaria status (ie: negative HRP2-based RDT).
In a pragmatic purpose, the subjects were selected for inclusion if no malaria diagnosis was
made by the means accessible to a clinician in routine practice, i.e., RDT and body
temperature assessment. During the follow-up, malaria was defined as the association of
fever and parasitemia, using any malaria diagnostic method, whatever its availability on the
field: (blood smear and/or PCR).
Hence, the primary objective of the study was to show that applying the algorithm of
management of fevers in the school setting is safe, in the way it does not lead to an
excessive number of undiagnosed (and thus untreated) malaria attacks, by comparing the
number of malaria attacks between the two groups (exposed and non exposed to fever).
The secondary objective was to compare malaria incidence between children at high risk for
malaria during follow-up in the IG and CG respectively. Children at high risk for malaria in
these 2 groups were defined by the detection of Plasmodium falciparum infection at
enrollment, using the most sensitive diagnostic tool currently available (i.e., PCR). Based
on data from the literature, we estimated to about 15% the proportion of children attending
for fever with a negative RDT and a positive PCR for malaria, and we assumed this proportion
to be roughly the same in apparently healthy children. Twenty-eight children at high risk
for malaria in each group (corresponding to187 children in each group) are needed to detect
an 8% difference in proportion between the 2 groups (α = 0.05 and β = 0.8). Assuming a
maximum of 5% in the dropout rate, we aimed at including a minimum of 200 children in each
group.
Study site: This study was performed from February through June 2008 in 4 schools, located
at Allada, Southern-Benin, where malaria transmission is intense and perennial. Altogether,
the 4 study schools received about 2600 schoolchildren of 5 years-old and above.
Conduct of the study: Ethical clearance was obtained from the Faculty of Medicine ethics
committee, Benin National University, Cotonou. Children attended school nurseries on their
own, or led by their parents/guardians. Care was provided for any child from a school
participating to the study. Children from the IG were included and actively followed only if
individual informed consent was obtained (within 24 hours from the initial visit) from a
parent or guardian. Asymptomatic children were screened for the CG on gender, age, week of
inclusion. The first child with a negative RDT and for whom an informed consent was
obtained, was included in the CG. Asymptomatic children (screened for inclusion into the CG)
and with a positive RDT were advised to quickly attend at the school nursery as soon as
symptoms of malaria would appear. Children treated for malaria within the prior month were
not included in either group.
All children were examined by a study nurse. Children with danger signs were referred to a
health centre. Children attending the school nurseries were managed for fever only if fever
was stated (tympanic temperature at 37.8°C or above) or if an history of fever in the
preceding 24 hours was reported. For each schoolchild managed for fever, a RDT (Paracheck®,
ORCHID Diagnostics) was performed and children were given artemether-lumefantrine (AL) if
the RDT result was positive, according to national guidelines in this age group. At
enrolment and during follow-up, medications with antimalarial activity for the treatment of
non malarial illnesses were avoided when acceptable alternatives were available.
Follow-up visits were on day 3, 7 and 14. A blood smear and a blood spot were collected at
enrolment and at each scheduled visit. An additional blood spot for pharmacological data was
collected for 100 children in each group on day 0 and day 14. When fever was reported and/or
stated at a follow-up visit, a RDT was performed.
We estimated the number of undiagnosed P falciparum malaria at enrolment, by taking into
account both baseline data (all cases with P falciparum parasitemia >1000/µL) and follow-up
data with fever with concomitant occurrence of at least one test (including PCR) positive
for a P falciparum infection.
Laboratory analysis: RDTs were red by the study nurse, as recommended by manufacturer 15
minutes after it was performed. Microscopy examination was done retrospectively (patients
were managed according to RDT results in terms of antimalarials prescriptions and IG or CG
group assignment) and blinded to the patient's identity.
DNA was prepared from blood collected at day 0 and on the last day of follow-up, as well as
at occurrence of fever during follow-up.
On day 0 and day 14 in the 100 first children from each group, whole blood was sampled on
filter paper spots and dried at room temperature. Using these dried blood spot (DBS),
chloroquine (and monodesethylchloroquine) and quinine were detected by high pressure liquid
chromatography with UV detection to 254 nm using ammonium acetate (40 mM, pH
=5.5)/acetonitrile (85/15 % v/v).
Statistics: Parametric tests (Pearson's chi-square and chi-square for the comparison of
crude rates) and non-parametric (Fischer) tests were used. A logistic regression on PCR
positivity at enrollment was performed, taking into account variables likely to influence
the malarial status: gender, age, school, clinical status, declared bednet use.
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