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| ABSTRACT |
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| INTRODUCTION |
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Despite better parasitologic response after treatment with SP, when compared with chloroquine, the clinical responses may be less rapid.3 An optimal treatment regimen may therefore be to combine SP and chloroquine, thus optimizing both the anti-parasitic and clinical effects.
Two earlier studies have compared the clinical efficacy of SP versus SP plus chloroquine. No significant difference in fever clearance time was reported by Darlow and others,4 while Bojang and others had a significantly higher number of patients returning to the clinic because of persistent fever or other clinical symptoms in the SP alone group.5 No significant difference in parasite reduction was observed between the treatment groups in these studies.4,5 A faster resolution of clinical symptoms during chloroquine treatment may be explained by its anti-inflammatory properties. In vitro, chloroquine inhibits the production of several pro-inflammatory cytokines, believed to contribute to the pathogenesis and clinical manifestations of malaria infection and rheumatoid arthritis, diseases commonly treated with chloroquine.612 However, the anti-inflammatory effects of chloroquine may also potentially interfere with natural anti-parasitic immune responses.
Paracetamol is a commonly used antipyretic in children and is often combined with SP. However, paracetamol and other antipyretics have been recommended to be used with caution during P. falciparum malaria because of alleged poor antipyretic effects and delayed parasite clearance.13,14
We wanted to conduct a more comprehensive study than those previously performed, including more frequent recording of temperature and correlating the anti-parasitic effect directly with the antipyretic effect of chloroquine. We also wanted to study a possible effect on the humoral immune response by chloroquine and paracetamol elicited by infection with P. falciparum.
This study was therefore designed to compare four treatment regimens all presently in use in Africa, i.e., SP alone, SP in combination with either chloroquine or paracetamol, and chloroquine alone. The outcome variables were fever, parasitemia, and production of IgG towards crude P. falciparum antigens.
| METHODS |
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Study patients. Children between 12 and 59 months of age attending the primary health care unit of the hospital between July 3 and August 20, 1998 were included in the study if they had uncomplicated mono-infection with P. falciparum, a parasite density of 2,000250,000 parasites/µL, an axillary temperature of 37.540.0°C, no history of drug intake in the last two weeks, and no history of hypersensitivity drug reactions. Children were not eligible for the study if they had severe malaria as defined by altered level of consciousness, convulsions, prostration, circulatory shock or respiratory distress, hyperparasitemia (> 250,000 parasites/µL), or severe anemia (hemoglobin level < 50 g/L). Children with signs of coexisting diseases were also excluded. The guardians of the children satisfying the inclusion criteria were asked for their informed consent for the children to be enrolled into the study. Ethical clearance was obtained from the Ministry of Health of Tanzania and the clinical research committee of the Karolinska Institutet (Stockholm, Sweden).
Drug administration. The patients were given serial numbers when attending the primary health care unit, before screening of parasitemia and fever. When admitted to the hospital they were consecutively divided into either of four treatment groups according to a predetermined schedule: 1) chloroquine alone, 2) SP alone, 3) SP plus chloroquine and 4) SP plus paracetamol. More patients were allocated to the group receiving chloroquine alone to balance the two groups receiving SP alone and SP plus paracetamol. Therefore, on each day of enrollment it was decided by a toss of a coin if an additional category 5 for chloroquine alone would be added in the schedule preceding category 1. The treating physician was not involved in allocating unique identification numbers to the patients deciding the order of admittance into the study. When following the treatment schedule, he could therefore not influence which patient would be allocated to each treatment group. The three drugs were given as follows: 1) chloroquine phosphate (F. Hoffman-La Roche, Basel, Switzerland), 10 + 10 + 5 mg base/kg of body weight over a period of three days; 2) Fansidar® (F. Hoffman-La Roche), a single dose of 1.25 mg of pyrimethamine and 25 mg of sulfadoxine/kg of body weight; and 3) paracetamol, 15 mg/kg of body weight every eight hours for 72 hours. The children and their guardians were not told what treatment arm they were in. To equalize the number of occasions of tablet intake for the SP- and chloroquine-treated children, each patient also received one tablet of vitamin C per day for three days. All treatments started at 3:004:00 PM on the day of admission and were given under close supervision by the research team. No antipyretic drugs were given to the children apart from the treatment schedule defined. Mechanical antipyresis (tepid sponging and electric fanning) was considered during episodes of high fever (> 39°C).
Assessment of drug efficacy. The primary outcome in the study was temperature at 48 hours and the main secondary outcome was parasite clearance after 72 hours. The children remained in the ward for three days. Axillary body temperature was measured with a digital thermometer on admission, and then every six hours for 72 hours, by the hospital nurses. Parasite species were assessed by Giemsa-stained thin blood smears on admission and parasite densities by thick blood smears daily for four days. The parasite densities were estimated by counting asexual parasites per 200 leukocytes in the thick smear and expressed as number of parasites per micro-liter of blood, assuming an average number of 8,000 leukocytes/µL of blood. This was performed by a skilled laboratory assistant. Measures of temperature and counting of parasites were not influenced by knowledge of which anti-malarial treatment that was given to the patient. The need for a double-blinded trial was therefore not considered necessary. A selected number of the patients in this study were previously studied for parasite densities and fever survival time.15
Treatment failures.
A second-line treatment with quinine (orally or intravenously) was administered if repeated vomiting, signs of clinical deterioration, and/or severe malaria occurred. A second-line treatment with SP was to be given to children treated with chloroquine alone if 1) the axillary temperature was
37.5°C at 48 hours together with increased parasitemia compared with day 0, 2) the axillary temperature was
37.5°C at 72 hours together with detectable parasitemia, and 3) the parasitemia at 72 hours was > 25% of the value at day 0. In case of treatment failure, data from the patient were included in the analysis up to the time of change of treatment.
Determination of IgG levels. Blood plasma samples for analysis of IgG levels were collected at admission and after 48 and 72 hours. Of 169 patients who participated in the study until 72 hours, 92 were randomly selected for IgG analyses by drawing of lots within each treatment group. Anti-malarial IgG levels were determined as previously described.16 Briefly, enzyme-linked immunosorbent assay plates were coated with 50 µL of Percoll fractionated and lysed parasite cultures (10 µg/mL) per well. The test sera were diluted 1:1,000 and applied in duplicate. Bound IgG was assayed with alkaline phosphatase-conjugated goat anti-human IgG antibodies (Mabtech, Stockholm, Sweden). Phosphatase substrate (Sigma, St. Louis, MO) was applied and the optical density was read at 450 nm. The IgG concentrations were calculated from standard curves obtained by coating with goat anti-human IgG (Jackson ImmunoResearch Laboratories, Inc., West Grove, PA), incubating with serial dilutions of recombinant human IgG (Jackson ImmunoResearch Laboratories, Inc.), and assayed as described earlier in this report. The detection limit was set on the linear part of the standard curve and above the background values of buffer controls.
Statistical analysis. Temperature data were analyzed by analysis of variance (ANOVA) repeated measurements design with the independent factors time and treatment. Post hoc comparisons were performed by planned comparison with a t-test. The t-test was also used when comparing differences in temperature between 18 and 24 hours within each treatment group. The individuals mean temperatures over time (624, 3048, and 648 hours) were analyzed by ANOVA with one independent factor (treatment) at four levels. Post hoc comparisons were done by the Tukey test. The mean temperatures of individuals over time (624, 3048, and 648 hours) were also analyzed by multiple regression and conditional change modeling, adjusting for initial temperature, parasitemia, age, and sex as covariables.
All parasite data were log transformed (loge (x + 1)). Analyses were performed by ANOVA with one independent factor (treatment) at four levels with respect to differences in parasitemia from 024 and 048 hours. Post hoc pairwise comparisons were made by the Tukey test. Differences in parasite reduction from 024 and 048 hours were also analyzed using multiple regression and conditional change modeling, adjusting for initial parasitemia, temperature, age, and sex as co-variables.
The IgG data were log transformed (loge) and differences between time points (0, 48, and 72 hours) were analyzed using Wilcoxon matched pairs. Differences in IgG levels between treatment groups were estimated using multiple linear regression with log IgG at 48 and 72 hours as dependent variables and treatment as an independent variable with simultaneous adjustment for loge IgG time 0, age, sex, and parasitemia time 0. Correlations between changes in temperature and changes in parasitemia from 0 to 48 hours were estimated by a Spearman rank order coefficient. All statistical tests were two sided with significance levels of 0.05.
| RESULTS |
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The mean temperature during the first day (624 hours), recorded as area under the curve, was highest in the children treated with SP alone (P < 0.001) (Table 2
). As the mean temperature in the SP alone group started to decrease, the difference in comparison with the chloroquine alone group decreased and was not significant during the period of 3048 hours (P =0.4). Chloroquine alone exhibited similar reduction in fever as SP plus paracetamol during the first 24 hours of treatment, but not during the next day (3048 hours) (P =0.03). Combining chloroquine and SP provided lower temperatures compared with chloroquine alone during both days (624 hours; P =0.03 and 3048 hours; P < 0.001). No significant differences were shown when comparing SP plus chloroquine with SP plus paracetamol during the two-day period. Multiple regression with conditional change modeling adjusting for age, sex, initial temperature, and parasitemia did not change the levels of significance in the analyses of mean temperatures, other than enhancing the differences between the chloroquine alone group and those treated with SP plus chloroquine or SP plus paracetamol to P < 0.005 (adjusted and unadjusted) for all time points except 624 hours for SP plus paracetamol (P =0.03, adjusted and unadjusted). Differences in baseline characteristics cannot account for the differences seen between the treatment groups.
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| DISCUSSION |
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The addition of chloroquine to SP did not improve the parasite clearance of SP alone. This is in agreement with previous studies,4,5 although clearance at day 28 turned out to be improved for the combination in one of the studies.5 The addition of paracetamol did not negatively affect parasite clearance as was observed in a previous study.13 In our study, the reduction of parasite densities during the first 24 hours was most profound in the SP plus paracetamol-treated children. Therefore, we do not believe that paracetamol itself or fever reduction as such should negatively affect the clearance of parasitemia.
The assumed antipyretic effect of chloroquine was confirmed because the addition of chloroquine to SP did not improve parasite clearance, but significantly improved fever clearance. Similarly, chloroquine also provided an antipyretic effect comparable to what was achieved with paracetamol. A tendency of increased temperature before the daily chloroquine dosing suggested that the antipyretic effect in both chloroquine-treated groups lasted for less than 24 hours, despite the relatively long early elimination half-life of the drug (approximately 48 hours).20 However, the pattern of the fever curve is strikingly similar to what was recorded for quinine-treated children.21 The time points for low and peak values also correspond with the normal endogenous circadian rhythm (lowest point at approximately 6:00 AM and a peak at approximately 6:00 PM).22,23 The different pattern detected in the SP alone-treated children implies that this rhythm is disturbed during acute uncomplicated P. falciparum malaria treated without antipyretics, and that the antipyretic effect of chloroquine (and possibly quinine) is influenced by what drives the natural 24-hour rhythm.
Some degree of parasite clearance appeared to be required for the antipyretic effect of chloroquine to be significant, since children treated with chloroquine alone had more fever during the second day compared with those treated with SP plus chloroquine, who had more significant parasite recovery. Furthermore, this was also supported by an association between the reduction in fever and the reduction in parasitemia. The antipyretic effect of chloroquine was weak or negligible in most of the few children with early treatment failure. A greater number of observations would be needed for this to be proved. The relatively slow fever recovery effect by SP treatment alone confirms previous similar preliminary findings.3 However, the anti-parasitic effect brings about a reduction of fever during the second day, but an antipyretic drug is still required up to 48 hours if clearance of fever is to be achieved.
There was a general increase in IgG levels to P. falciparum IgG during treatment, indicating ongoing humoral immune responses during acute infection. No difference in this antibody response could be found between the groups, suggesting that chloroquine does not appear to influence the humoral immune response despite its anti-inflammatory properties. This supports previous findings that chloroquine prophylaxis does not influence the serologic response to non-live vaccines.24 In conclusion, if effective fever clearance is to be achieved, chloroquine, possibly not a full standard anti-malarial treatment dose, or an antipyretic such as paracetamol is necessary as ancillary treatment to SP. The use of these drugs as antipyretics does not seem to interfere with the parasite clearance of SP.
Received March 17, 2003. Accepted for publication July 23, 2003.
Acknowledgments: We thank the children, their families, and the staff at Kibaha Hospital for their participation in this study. Special thanks are given to Fredrick Kalokola, Jeremiah Masunga (deceased), and Anette Sundstedt for laboratory work and organization at the hospital. We are grateful to Margareta Hagstedt and Hedvig Perlmann for technical assistance with the antibody enzyme-linked immunosorbent assay, and Jan Kowalski for statistical expertise. We also thank Amos Y. Massele, Anita Östborn, Ulrika Uddenfeldt, Ib Bygbjerg, and Anita Rønn for their contributions in making the study possible.
Financial support: The work was supported by Swedish International Development Co-operation Agency (Stockholm, Sweden).
Authors addresses: Elisabeth Hugosson, Malaria Research Unit (M9), Division of Infectious Diseases, Department of Medicine, Karolinska Hospital, 17176 Stockholm, Sweden, Telephone: 46-8-5177-6739, Fax: 46-8-5177-6740, E-mail: ehugosson{at}hotmail.com. Donath Tarimo and Zul Premji, Department of Parasitology/Medical Entomology, Muhimbili University College of Health Sciences, Dar es Salaam, Tanzania, Telephone: 255-22-215-1596, Fax: 255-22-215-0465, E-mails: dtarimo{at}muchs.ac.tz and zpremji{at}muchs.ac.tz. Marita Troye-Blomberg, Department of Immunology, Stockholm University, Stockholm, Sweden, Telephone: 46-8-164-164, Fax: 46-8-612-9542 or 46-8-157-356, E-mail: marita{at}imun2.su.se. Scott M. Montgomery, Clinical Epidemiology Unit, Department of Medicine, Karolinska Hospital, Karolinska Institutet, 17176 Stockholm, Sweden, Telephone: 46-8-5177-9325, Fax: 46-8-5177-9304, E-mail: Scott.Montgomery{at}medks.ki.se. Anders Björkman, Malaria Research Unit (M9), Division of Infectious Diseases, Department of Medicine, Karolinska Hospital, 17176 Stockholm, Sweden, Telephone: 46-8-5177-1866, Fax: 46-8-5177-6740, E-mail: anders. bjorkman{at}ks.se.
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