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Antimicrobial Agents and Chemotherapy, June 2001, p. 1803-1809, Vol. 45, No. 6
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.6.1803-1809.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Population Pharmacokinetics of Intramuscular
Quinine in Children with Severe Malaria
Sanjeev
Krishna,1,*
Nelamangala V.
Nagaraja,2
Tim
Planche,1
Tsiri
Agbenyega,3,4
George
Bedo-Addo,4
Daniel
Ansong,4
Alex
Owusu-Ofori,4
Albert L.
Shroads,5
George
Henderson,5
Alan
Hutson,6
Hartmut
Derendorf,2 and
Peter W.
Stacpoole5,7
Department of Infectious Diseases, St. George's Hospital
Medical School, Cranmer Terrace, London SW17 ORE, United
Kingdom1; Department of Physiology,
University of Science and Technology, School of Medical
Sciences,3 and Departments of
Paediatrics and Medicine, Komfo-Anokye Teaching
Hospital,4 Kumasi, Ghana; Department of
Medicine (Division of Endocrinology and
Metabolism),5 Departments of
Biochemistry and Molecular Biology,7 and
Department of Statistics (Division of
Biostatistics),6 University of Florida College
of Medicine, Gainesville, Florida 32610-0226; and
Department of Pharmaceutics, University of Florida College of
Pharmacy, Gainesville, Florida 32610-04942
Received 7 September 2000/Returned for modification 10 February
2001/Accepted 13 March 2001
 |
ABSTRACT |
We present the first population pharmacokinetic analysis of quinine
in patients with Plasmodium falciparum malaria. Ghanaian children (n = 120; aged 12 months to 10 years) with
severe malaria received an intramuscular loading dose of quinine
dihydrochloride (20 mg/kg of body weight). A two-compartment model with
first-order absorption and elimination gave post hoc estimates for
pharmacokinetic parameters that were consistent with those derived from
non-population pharmacokinetic studies (clearance [CL] = 0.05 liter/h/kg of body weight; volume of distribution in the central
compartment [V1] = 0.65 liter/kg;
volume of distribution at steady state = 1.41 liter/kg; half-life
at
phase = 19.9 h). There were no covariates (including
age, gender, acidemia, anemia, coma, parasitemia, or anticonvulsant
use) that explained interpatient variability in weight-normalized CL
and V1. Intramuscular quinine was associated with minor, local toxicity in some patients (13 of 108; 12%), and 11 patients (10%) experienced one or more episodes of postadmission hypoglycemia. A loading dose of intramuscular quinine results in
predictable population pharmacokinetic profiles in children with severe
malaria and may be preferred to the intravenous route of administration
in some circumstances.
 |
INTRODUCTION |
Although quinine is one of the
oldest drugs in the pharmacopoeia, the optimum usage of quinine in
children with severe malaria is still debated (12, 29).
The choice of route and dose of quinine for children with severe
malaria will vary depending on circumstances and particularly on the
capability of administering intravenous infusions reliably. Quinine is
the drug of choice for the management of severe malaria in most areas
of the world, and it is frequently deployed in conditions where
intravenous infusions cannot be rapidly established or reliably monitored.
Recent pharmacokinetic studies using African children have revived the
intramuscular route as an alternative, cheaper, practicable, and
potentially safer route for quinine administration (15, 25,
27). However, classical pharmacokinetic studies are not always
applicable to populations at highest risk of death from Plasmodium falciparum infection. One of the most important
risk factors that identify these children is the complication of lactic acidosis (plasma or whole blood lactate concentration of
5
mmol/liter) (11). Dichloroacetate (DCA) is a potential
treatment for malaria-associated lactic acidosis (7).
We recently conducted a randomized, double-blind, placebo-controlled
investigation to test the hypothesis that treatment with the
lactate-lowering drug DCA, given with quinine, significantly improved
morbidity and mortality in Ghanaian children with lactic acidosis due
to severe P. falciparum malaria infection. This report describes the population pharmacokinetics of a loading dose of intramuscular quinine dihydrochloride (20 mg/kg of body weight) in 120 patients. The size of this study also allows assessment of covariables
that may be important in influencing quinine kinetics. The major
clinical results of the study will be presented elsewhere.
 |
MATERIALS AND METHODS |
Patients.
The study was carried out at the Komfo-Anokye
Teaching Hospital in Kumasi, Ghana, and was approved by the Committee
of Research, Publication and Ethics of the School of Medical Sciences,
University of Science and Technology, Kumasi, Ghana, and the
Institutional Review Board at the University of Florida. Between June
1997 and February 1999, 1,654 children with a suspected case of malaria were referred to the study team. Patients were examined by a member of
the team, and samples were taken to measure glucose or lactate (100 µl of whole blood or plasma), hematocrit, and parasitemia. After
written, informed consent from parents or guardians was obtained,
children were entered into this study if they fulfilled the following
inclusion criteria: age of 12 months to 10 years inclusive, positive
blood film for asexual stages of P. falciparum, and plasma
venous or capillary blood lactate concentration of
5 mmol/liter.
Exclusion criteria were pregnancy, assessed by a urine
-human
chorionic gonadotropin test in patients aged 10 years, and brain
death, determined by clinical examination. Cerebral malaria was defined
using the Blantyre Coma Score (BCS) (
2 on a 5-point scale)
(16). A lumbar puncture was performed on all patients with
coma (BCS
2) to exclude the possibility of meningitis or
encephalitis. The cerebrospinal fluid was analyzed immediately by
microscopy and cultured.
Quinine and DCA treatments.
Quinine (20 mg/kg as a loading
dose; diluted 1:1 [vol/vol] in water for injection, giving a final
concentration for quinine dihydrochloride of 150 mg/ml) (Rotomed
[Rotex, Trittau, Germany] or quinine dihydrochloride
[Martindale, Romford, United Kingdom]) was given to patients
who had not received quinine treatment in the past 24 h. Half the
loading dose was injected intramuscularly into the anterior aspect of
each thigh. Maintenance doses of quinine (10 mg/kg, intramuscularly)
were given into alternate thighs every 12 h (after dilution as
before) until the patient was able to tolerate oral quinine. Patients
were randomized to receive either DCA, 50 mg/kg formulated in 100 mg/ml
as described previously (22), or normal saline (as
placebo) after the first dose of quinine. DCA or placebo was given as a
single infusion over 10 min by manual injection timed with a stopwatch.
Supportive treatment.
Patients were managed according to
published guidelines (17), and supportive therapy included
the following:
(i) Correction of possible thiamine deficiency.
To correct
for a possible deficiency (10), all patients received a
single intramuscular dose of thiamine (100 mg; Martindale) before DCA
was administered.
(ii) Prevention of hypoglycemia.
A constant infusion of
glucose (3 mg/kg/min, 5% dextrose) (Intravenous Infusions Ltd.,
Koforidua, Ghana) was administered to minimize the risk of
hypoglycemia. Hypoglycemia (capillary or venous blood glucose
concentration of
2.2 mmol/liter) was treated with a slow infusion of
50 or 25% glucose (1).
(iii) Prevention and treatment of seizures.
All patients
with cerebral malaria received phenobarbitone (7 mg/kg,
intramuscularly) (28), and seizures after admission were
treated with diazepam (0.3 mg/kg, intravenously).
(iv) Correction of anemia.
A blood transfusion (20 ml/kg)
was given to children with a hematocrit of
15%, and careful
attention was given to maintenance of intravascular volume.
Monitoring and sampling.
Vital signs (respiratory rate,
pulse, systolic and diastolic blood pressure, and temperature), BCS,
hematocrit, glucose, and lactate were monitored every 4 h for
24 h after admission or more frequently, if clinically indicated.
Venous blood samples (2 ml) were taken at baseline and at two time
points between 0 and 12 h after the first DCA dose. Randomization
of sampling times was done at 0, 10, 20, and 40 min and at 1, 2, 4, 8, and 12 h after DCA administration for collection of plasma to
determine blood gas, metabolite, DCA, and quinine levels. As DCA was
given a few minutes after quinine, this individual time difference for
each patient was accounted for in analyses. Samples were collected in
heparinized tubes (15 IU; Leo Pharmaceuticals, Risborough, United Kingdom). Plasma was separated within 15 min and stored and
transported frozen (<
70°C) for analysis of quinine. Thick and thin
blood films were also prepared at each pharmacokinetic time point and
at every 4 h after admission, up to 24 h. Thereafter, sampling was performed every 6 h until parasitemia cleared.
Analysis of quinine.
Quinine was quantified in plasma
samples by a previously reported high-performance liquid chromatography
(HPLC) method (8). Briefly, plasma (100 µl) was mixed
with quinidine hydrochloride (10 µl of a 200-µg/ml solution),
ammonia (60 µl), and water (230 µl). To this solution, methylene
chloride (500 µl) was added, and the mixture was vortexed (45 s). The
two layers were separated by centrifugation (3,000 × g, 10 min). The organic layer was vortex mixed with HCl (200 µl, 0.15 M) and was centrifuged again. The upper aqueous layer was
separated, and sample (5 µl) was injected and analyzed by HPLC. HPLC
was performed with a Hewlett-Packard 1100 Series system (Palo Alto,
Calif.) made up of a G1322A Vacuum Degasser, a G1311A quaternary pump,
a G1313A autosampler, and a G1315 diode array UV-visible detector. This
instrument was coupled with a Hewlett-Packard Vectra Windows NT
Workstation controlling pumps and detectors. A Hewlett-Packard Hypersil
BDS-C-18 column (125 by 4 mm; inside diameter, 5 µm) was used
for isocratic chromatographic separation with a mobile phase consisting
of acetonitrile and 1% triethylamine in water adjusted to pH 3 with
o-phosphoric acid (15%:85% [vol/vol]). The flow rate was
kept at 1 ml/min. Quinine and quinidine were detected at 254 nm, and
retention times for quinine and quinidine were 5.2 and 4.5 min,
respectively. The assay method was linear in the range of 2.5 to 40 µg of quinine/ml. The inter- and intrabatch bias and relative
standard deviation were <5% at all concentrations.
Data analysis. (i) Pharmacostatistical model.
Population
modeling was developed by an expectation-and-maximization algorithm
(described below) using P-Pharm software (InnaPhase, Champs sur Marne,
France). Expectation-and-maximization analysis is an iterative two-step
process suitable for computing maximum-likelihood (ML) population
estimates of primary pharmacokinetic parameters. The algorithm computes
the ML estimates by (i) an expectation step (E step), in which the
individual parameters in the subjects are estimated by a Bayesian
approach, given the present population parameters and the individual
concentration-time data, and (ii) a maximization step (M step), in
which the population parameters are estimated by ML methodology given
the present individual-parameter estimates. These two steps are
iterated up to convergence or until the fractional changes of fixed,
random, and residual error variance parameters between two consecutive
iterations become less than 0.001.
In the first stage, the population parameters and random effects
(interindividual variations) together with the individual posterior
estimates (Bayesian estimates) were computed with the assumption that
no dependency exists between the pharmacokinetic parameters and the
covariates. In the second stage, the relationship between the
individual posterior estimates and the potential covariates was
investigated by graphical exploratory functions and a multiple, linear,
stepwise algorithm. Only those covariates showing a correlation with a
pharmacokinetic parameter were retained in the analysis, and the
population parameters were reestimated considering the ML ratio, Akaike
information criterion (AIC), and residual distribution. Inspection of
results and comparison with data from patients were used to assess the
goodness of fit of the model.
The two sites of quinine injection (10 mg/kg to each anterior thigh)
were considered a single-depot compartment because the
injections were
administered almost simultaneously, and the bioavailability
of
intramuscular quinine was assumed to be complete (100%)
(
20).
Demographic data and clinical admission and
laboratory data were
used as potential covariates to assess their
relationship with
derived population pharmacokinetic parameters for
quinine.
(ii) Model validation.
The model was validated for
standardized concentration prediction error (SCPE) and standardized
parameter prediction error (SPPE) for clearance (CL),
intercompartmental clearance (Q), volume of distribution in the central
compartment (V1), and volume of distribution in the peripheral compartment
(Vp). SCPE for each concentration was
calculated using the relationship:
Cobs represents the observed
concentrations, and SD (
Cexp)
represents the estimated standard deviation on the expected values
computed, using all sources of random variability including residual
error. For each pharmacokinetic parameter (CL and
V1), the normalized
SPPEs were
computed as
Ppop is the population
pharmacokinetic parameter, and SD
(
Ppop) is the corresponding standard
deviation. To assess the posterior
distribution properties of the
residuals and the individual parameters,
a
t test was used
to compare the mean of SCPE and SPPE to zero
and the Kolmogorov-Smirnov
test was used to compare the sampled
distribution to the expected one
[
n (0,1)].
 |
RESULTS |
Patients.
Patients with malaria-associated lactic acidosis
(n = 124) were enrolled. Sixteen patients (12.9%)
died, the majority of them (11 of 16; 69%) within 24 h of
admission. Demographic, clinical admission, and laboratory features of
patients are summarized in Table 1. All
patients had one or more defining features of severe malaria, including
hyperlactatemia, cerebral malaria (n = 38; 31%), acidemia
(39 of 81; 48%), or respiratory distress (n = 67;
56%). Fifteen patients who did not have cerebral malaria on admission
became comatose during the first 24 h of quinine treatment. Half
the patients (n = 62) were randomized to receive DCA.
More detailed descriptions of these patients' clinical courses will be
published elsewhere. Ninety-two patients (74%) had a history of
antimalarial treatment (1 with amodiaquine, 1 with artesunate, 10 with
an unspecified antimalarial, and the remainder with chloroquine).
Population modeling of quinine pharmacokinetics.
Each patient
contributed 1 to 3 plasma samples, depending on the actual time of
blood sampling. Five patients with a history of prior quinine
pretreatment had measurable baseline quinine levels. Three patients
with baseline quinine levels above 2 µg/ml (range, 6.6 to 13.4 µg/ml) and one patient without measurable quinine levels for up to
1 h after admission were excluded from the population analysis.
The patient without measurable quinine survived. Another surviving
patient's quinine concentration was >60 µg/ml (0.5-h sample), and
this time point was also excluded from analysis. Plasma samples
(n = 282) from 120 patients were available for
population pharmacokinetic analysis of quinine. Based on earlier
analysis and published reports (12), a two-compartment model with first-order absorption and elimination was used to develop a
population pharmacokinetic model for quinine. Total CL, Q,
V1,
Vp, and absorption rate constant
(ka) were used as the model
parameters. The parameter ka was fixed
at 3.5/h (absorption half-life of 12 min) (8) to arrive at
reliable estimates of CL and V1.
Intersubject variability in CL had a log-normal distribution, while the
values for intersubject variability for Q,
V1, and
Vp showed normal distributions. The
distribution of residual errors was best explained by a multiplicative
(proportional to the observed concentration) error model.
The population mean and post hoc estimates of pharmacokinetic
parameters are summarized in Table
2.
Figure
1a displays the
base population
pharmacokinetic model fitted to 282 samples obtained
from patients in
this study and the correlation between observed
plasma quinine levels
and Bayesian estimates predicted by the
model. Six values for quinine
lie at or above 30 µg/ml. These
plasma samples were reassayed, and
the initial measurements were
confirmed. All these patients survived.
The mean (± standard deviation)
terminal elimination half-life for
quinine was 19.9 ± 4.4 h. Figure
1b compares observed plasma
quinine concentrations with those
predicted from population modeling.

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FIG. 1.
(a) Population pharmacokinetic profile with 95%
confidence intervals for quinine after a single intramuscular dose (20 mg/kg). (b) Correlation between the observed quinine plasma levels and
the Bayesian estimates predicted by the model.
|
|
When model validation was carried out (as detailed in Materials and
Methods), results showed that the distributions of the
residuals and
the normalized parameters were normal and not significantly
different
from expected. These results are represented as histograms
and
cumulative distribution curves in Fig.
2.

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FIG. 2.
Histograms and cumulative distribution graphs for
normalized residuals (A), CL (B), V1 (C), Q
(D), and Vp (E).
|
|
Analysis of covariates.
Based on a preselected critical
percentage (5%) of the F distribution to assess the
contribution of a covariate in multiple, stepwise, linear regression,
none of the following covariates influenced weight-normalized CL and
V1 : age, sex (0 = male, 1 = female), admission arterial pH, pO2,
pCO2, body temperature, parasite count, cerebral
malaria (0 = no, 1 = yes), phenobarbital treatment, diazepam
treatment (0 = no, 1 = yes), and previous antimalarial
treatment (0 = no, 1 = yes). When all of these factors were
forcibly included as covariates and the data set was reanalyzed, weight, sex, age, hematocrit, and DCA (0 = placebo, 1 = DCA)
treatment were selected as covariates for CL. Covariates for other
parameters were weight for V1;
hematocrit and cerebral malaria for Q; and cerebral malaria, DCA, and
hematocrit for Vp. Intersubject
variability estimates of all the parameters were lower with the
covariate model (Table 3). However, there
were no significant changes in the ML ratio and AIC. Analysis of the
diagnostic graphs also did not indicate any improvements in the
predictions. Hence, it was inferred that none of these patient-specific
factors could be used reliably as covariables to explain interpatient
variability in CL and V1.
Values for pH, pO
2, and
pCO
2 were not available for 38 patients. The
influence of these blood gas variables on the parameters
was therefore
assessed separately in a subgroup of 82 patients
with all potential
covariables. The base model parameters (without
covariables) were
similar to those for the data set containing
120 patients. In this
subgroup also, none of these additional
factors (pH,
pO
2, and pCO
2) were
selected as covariables. Hence,
results from the complete data set with
120 patients were retained.
Table
3 summarizes a model that includes
covariates and goodness-of-fit
parameters. There were no significant
differences in estimates
for pharmacokinetic parameters between
survivors and fatal
cases.
Efficacy and tolerability of quinine.
Figure
3a represents parasite CL data following
quinine as a survival curve. The time taken for half the patients to
clear parasites completely is 43 h. Figure 3b shows normalized
parasite CL kinetics (median PC50 = 16 h and
PC90 = 27 h, where
PC50 is the time taken for parasite numbers to
fall by 50% of baseline values and PC90 is the
time required for parasite numbers to fall by 90% of baseline values).
The median (interquartile range) parasite clearance time was 48 (36 to
54) h.

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FIG. 3.
(a) Proportion of cases remaining positive for P.
falciparum following admission. (b) Median change in
parasitemia after admission. Numbers of patients contributing to each
value are also given beside the data points.
|
|
Ninety-five (88%) patients from among 108 survivors had normal
injection sites when discharged from the hospital. Twelve (11%)
patients had mild, mainly unilateral induration, and one (1%)
had
unilateral swelling on discharge. Four (3%) of 68 patients
who
returned for follow-up examination 28 days after admission
had evidence
of local toxicity (two with induration and two with
small [

2 cm]
fluctuant swellings). These patients were reexamined
1 to 2 weeks
later, and local toxicity had resolved without specific
therapy. It is
not possible to attribute all local toxicity to
quinine injections, as
patients also received other intramuscular
medication.
Hypoglycemia (blood sugar level of

2.2 mmol/liter) was present
in 19 (15%) patients prior to quinine treatment. Eleven (10%)
children had hypoglycemia following quinine treatment; four of
these
children also had admission hypoglycemia (relative risk
for
postadmission hypoglycemia was 3.2 [95% confidence interval
= 1.02 to 9.75;
P = 0.024], if there was preexisting
hypoglycemia,
when compared with patients who had no admission
hypoglycemia).
 |
DISCUSSION |
Debate about the best way to administer quinine has continued
since it was first used to treat severe malaria (12, 13, 29). Ross and others, working in India (14, 19),
cautioned against using "strong" quinine solutions, because they
might cause necrosis at the intramuscular injection site and might not
be adequately absorbed. Diluted quinine was advocated as it was
"practically painless and rapidly effective" (3).
Fletcher provided a lucid review of clinical and laboratory experience
on intramuscular quinine and suggested that it should be reserved for
"patients who are most dangerously ill with malaria"
(5). More recent studies have examined absorption of
undiluted (300-mg/ml) (27) and diluted (150-mg/ml)
(8) quinine and 60-mg/ml (18) quinine following a loading dose (20 mg of salt/kg). Dilution of quinine decreases the absorption half-life (mean ± standard deviation) from 38 ± 25 min to 10.4 ± 9 min (for 150-mg/ml quinine)
and 8.7 ± 7.8 min (60-mg/ml quinine). There was no evidence of
major local or systemic toxicity in these studies. A larger prospective
evaluation of intramuscular (n = 57) versus intravenous
(n = 47) quinine confirmed similar efficacy, safety,
and blood levels of quinine for both routes (21) but did
not include a pharmacokinetic analysis. Parasite CL estimates after
quinine in our population are similar to those reported for children
with cerebral malaria in The Gambia: median (with the interquartile
range in parentheses) parasite CL time was 48 (36 to 54) h in
our study, compared with 60 (48 to 72) h in the study from The Gambia
(26).
This study on the pharmacokinetics of intramuscular quinine in children
with severe malaria exceeds other reports in size and detail.
Population estimates for pharmacokinetic parameters presented here are
consistent with previous, smaller, classical pharmacokinetic studies.
For example, quinine CL is estimated here as equal to 0.05 liter/h/kg.
In previous studies, estimates ranged from 0.027 to 0.0816 liter/h/kg
(reviewed in reference 12). In this study
ka was fixed in order to obtain
reliable estimates for other parameters. The suitability of
distribution models is reflected in Fig. 1b, which shows the
correlation between observed plasma concentrations of quinine and those
predicted by Bayesian analysis.
Quinine (20 mg/kg) is absorbed rapidly and reliably after dilution and
intramuscular injection into both anterior thighs. Mean peak plasma
concentration versus time profiles between 15 and 20 µg/ml (Fig. 1a)
are within the notional "therapeutic range" for quinine
(12). The relatively broad confidence intervals around
this value may reflect heterogeneity in quinine disposition rather than
variability due to disease, as children were selected for study by
strict and objective entry criteria and represent patients with
the highest mortality (9, 11). The absence of
any identifiable relationship between clinical and laboratory variables
and population pharmacokinetic indices supports this suggestion. In
particular, it is reassuring that intramuscular quinine is reliably
absorbed, even in patients who may have severe acidemia, cerebral
malaria, or anemia. Concomitant use of other medications (DCA,
phenobarbital, and diazepam) also did not affect first-dose
pharmacokinetics of quinine. Quinine is metabolized to 3-hydroxyquinine
predominantly by the hepatic CYP4503A4 system (12). Since
the expression of this enzyme system exhibits considerable interindividual variation (ranging from between 10 and >60% total hepatic cytochrome P450 activity) (6), genetic
factors may contribute to quinine's variable disposition.
There was no major local toxicity associated with our regimen of
intramuscular quinine. Local side effects were self-limiting, and none
required surgical intervention, in contrast to findings from The
Gambia, where some children (5 of 288) (1.7%) given intramuscular quinine (diluted 1:5) needed drainage of abscesses (26).
Patients who had hypoglycemia prior to admission were at highest risk
of postadmission hypoglycemia, despite receiving a constant infusion of
glucose (3 mg/kg/min). Taken together with observations on glucose
kinetics in children with severe malaria receiving quinine
(1), children who are hypoglycemic on admission to the
hospital may require larger amounts of glucose (up to 6 mg/kg/min) than
what we routinely used to prevent hypoglycemia. In any case, this
high-risk group should be monitored particularly carefully. These
observations are consistent with studies in Kenyan children, where
admission hypoglycemia (n = 27 of 171; 16%) also
identified children at risk of postadmission hypoglycemia
(n = 9; relative risk = 5.33 [95% confidence
interval = 2.33 to 12.2; P < 0.0001]). As in
this study, some children who were euglycemic on admission subsequently
developed hypoglycemia despite receiving dextrose (4).
Postadmission rates of hypoglycemia were ~15% in a large Gambian
study (26). These observations contrast with those from Malawi indicating that glucose infusions prevented postadmission hypoglycemia after quinine treatment (23) and confirm that
blood glucose should be monitored regularly, whenever practicable, in children with severe malaria.
Figure 4 displays predicted quinine
pharmacokinetic profiles of three different doses of quinine, based on
our population analysis. Both 10- and 15-mg/kg doses are likely to
undertreat a significant proportion of children in areas where
parasites are not fully quinine sensitive. The safety of a 20-mg/kg
loading dose of quinine and the potential for undertreatment suggest
that this dose should be preferred in the management of severe malaria in African children. The risks of undertreatment with quinine were
recently highlighted by a retrospective analysis that showed a
significantly higher mortality rate in patients who received a 10-mg/kg
dose than in those who received a 20-mg/kg dose of quinine
(24). A few patients (5%) in our study had quinine levels of >30 µg/ml, but none suffered toxicity. Only one patient had levels below 5 µg/ml 12 h after the first dose of quinine. Many factors must be considered in choosing between intravenous and intramuscular routes for quinine use. Ease of administration, the lack
of requirement for immediate intravenous access, more expensive fluid
administration sets, predictable pharmacokinetics, usefulness in severe
malaria, and safety favor the intramuscular route. However, the
intramuscular route has some potential disadvantages, in
particular the risk of infection (rarely tetanus or poliomyelitis) that
may "seed" to areas of muscle necrosis (2, 5, 30). Both parenteral routes for quinine administration may be associated with hyperinsulinemic hypoglycemia and the risk of transmitting blood-borne infections. The intravenous route incurs a risk of major
quinine toxicity if infusion rates cannot be reliably managed. Thus,
policies governing selection of one route over another must take into
account these considerations. Our findings should increase confidence
in the efficacy and safety of intramuscular quinine as the first choice
for management of severe malaria in children.

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FIG. 4.
Predicted pharmacokinetic profiles of four different
doses of quinine based on population estimates: 20 mg/kg ( ), 10 mg/kg (  ), 15 mg/kg (--), 20 mg/kg + 10 mg/kg at 12 h ( - ).
|
|
 |
ACKNOWLEDGMENTS |
We thank Frank Micah, John Adabie Appiah, Cyclopea Anakwa, and
Emmanuel Asafo-Agyei for patient care. Clement Opoku-Okrah and David
Sambian gave technical support. We are grateful to Sister Esther
Essuming and her staff for nursing care.
This study was funded by National Institutes of Health award M01 00082 to the General Clinical Research Center, University of Florida, and is
part of a collaborative program for research in tropical medicine based
at St. George's Hospital Medical School and funded by the Wellcome
Trust. S.K. is a Wellcome Trust Senior Research Fellow in Clinical Science.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Infectious Diseases, St. George's Hospital Medical School, Cranmer
Terrace, London SW17 ORE, United Kingdom. Phone: 44 20 8725 5827. Fax: 44 20 8725 3487. E-mail: s.krishna{at}sghms.ac.uk.
 |
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Antimicrobial Agents and Chemotherapy, June 2001, p. 1803-1809, Vol. 45, No. 6
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.6.1803-1809.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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