The Effect of Dosing Regimens on the Antimalarial Efficacy of Dihydroartemisinin-Piperaquine: A Pooled Analysis of Individual Patient Data
Background:
Dihydroartemisinin-piperaquine (DP) is increasingly recommended for antimalarial treatment in many endemic countries; however, concerns have been raised over its potential under dosing in young children. We investigated the influence of different dosing schedules on DP's clinical efficacy.
Methods and Findings:
A systematic search of the literature was conducted to identify all studies published between 1960 and February 2013, in which patients were enrolled and treated with DP. Principal investigators were approached and invited to share individual patient data with the WorldWide Antimalarial Resistance Network (WWARN). Data were pooled using a standardised methodology. Univariable and multivariable risk factors for parasite recrudescence were identified using a Cox's regression model with shared frailty across the study sites. Twenty-four published and two unpublished studies (n = 7,072 patients) were included in the analysis. After correcting for reinfection by parasite genotyping, Kaplan–Meier survival estimates were 97.7% (95% CI 97.3%–98.1%) at day 42 and 97.2% (95% CI 96.7%–97.7%) at day 63. Overall 28.6% (979/3,429) of children aged 1 to 5 years received a total dose of piperaquine below 48 mg/kg (the lower limit recommended by WHO); this risk was 2.3–2.9-fold greater compared to that in the other age groups and was associated with reduced efficacy at day 63 (94.4% [95% CI 92.6%–96.2%], p<0.001). After adjusting for confounding factors, the mg/kg dose of piperaquine was found to be a significant predictor for recrudescence, the risk increasing by 13% (95% CI 5.0%–21%) for every 5 mg/kg decrease in dose; p = 0.002. In a multivariable model increasing the target minimum total dose of piperaquine in children aged 1 to 5 years old from 48 mg/kg to 59 mg/kg would halve the risk of treatment failure and cure at least 95% of patients; such an increment was not associated with gastrointestinal toxicity in the ten studies in which this could be assessed.
Conclusions:
DP demonstrates excellent efficacy in a wide range of transmission settings; however, treatment failure is associated with a lower dose of piperaquine, particularly in young children, suggesting potential for further dose optimisation.
Please see later in the article for the Editors' Summary
Published in the journal:
The Effect of Dosing Regimens on the Antimalarial Efficacy of Dihydroartemisinin-Piperaquine: A Pooled Analysis of Individual Patient Data. PLoS Med 10(12): e32767. doi:10.1371/journal.pmed.1001564
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pmed.1001564
Summary
Background:
Dihydroartemisinin-piperaquine (DP) is increasingly recommended for antimalarial treatment in many endemic countries; however, concerns have been raised over its potential under dosing in young children. We investigated the influence of different dosing schedules on DP's clinical efficacy.
Methods and Findings:
A systematic search of the literature was conducted to identify all studies published between 1960 and February 2013, in which patients were enrolled and treated with DP. Principal investigators were approached and invited to share individual patient data with the WorldWide Antimalarial Resistance Network (WWARN). Data were pooled using a standardised methodology. Univariable and multivariable risk factors for parasite recrudescence were identified using a Cox's regression model with shared frailty across the study sites. Twenty-four published and two unpublished studies (n = 7,072 patients) were included in the analysis. After correcting for reinfection by parasite genotyping, Kaplan–Meier survival estimates were 97.7% (95% CI 97.3%–98.1%) at day 42 and 97.2% (95% CI 96.7%–97.7%) at day 63. Overall 28.6% (979/3,429) of children aged 1 to 5 years received a total dose of piperaquine below 48 mg/kg (the lower limit recommended by WHO); this risk was 2.3–2.9-fold greater compared to that in the other age groups and was associated with reduced efficacy at day 63 (94.4% [95% CI 92.6%–96.2%], p<0.001). After adjusting for confounding factors, the mg/kg dose of piperaquine was found to be a significant predictor for recrudescence, the risk increasing by 13% (95% CI 5.0%–21%) for every 5 mg/kg decrease in dose; p = 0.002. In a multivariable model increasing the target minimum total dose of piperaquine in children aged 1 to 5 years old from 48 mg/kg to 59 mg/kg would halve the risk of treatment failure and cure at least 95% of patients; such an increment was not associated with gastrointestinal toxicity in the ten studies in which this could be assessed.
Conclusions:
DP demonstrates excellent efficacy in a wide range of transmission settings; however, treatment failure is associated with a lower dose of piperaquine, particularly in young children, suggesting potential for further dose optimisation.
Please see later in the article for the Editors' Summary
Introduction
Malaria is one of the leading causes of morbidity and mortality in endemic countries. Children under the age of 5 years are particularly vulnerable to failing treatment and developing severe disease, usually attributed to their lower immunity and premunition compared to older patients [1]–[3]. Prompt administration of highly effective antimalarial treatment can help to ensure parasitological cure, decrease transmission, and reduce the risk of complications and death; this approach is a key component of current elimination efforts [4]. The current consensus amongst policy makers advocates for artemisinin combination therapy (ACT) to slow the emergence and spread of antimalarial drug resistance [5]. This policy has been adopted in over 80 malaria-endemic countries for patients with uncomplicated falciparum malaria [6]. The high potency of the artemisinin component results in a rapid initial reduction in parasite biomass, with the sustained activity of the more slowly eliminated partner drug preventing subsequent recrudescent infections. Highly effective antimalarial treatment requires the administration of an optimised treatment regimen tailored to the weight and age of the patient. Sub-optimal dosing of either component can result in incomplete elimination of the parasite biomass and subsequent recrudescence, both of which are important driving forces for the selection of parasites with reduced drug susceptibility [7],[8].
The combination of dihydroartemisinin-piperaquine (DP) has been assessed in clinical trials for almost a decade, and shown to be highly efficacious against both Plasmodium falciparum and P. vivax infections [3],[9],[10]. Since 2010, DP has been recommended by WHO for the treatment of uncomplicated falciparum malaria [5], providing a promising alternative to other currently available ACTs, based upon its high efficacy, excellent safety profile, once daily dosing scheme, and prolonged post-treatment prophylactic protection [11]–[13]. The target doses of both dihydroartemisinin (DHA) and piperaquine (PIP) are usually quoted as the total mg/kg dose taken during the 3-day regimen. As is often the case, these recommendations were developed empirically in the early stages of the drug development with additional evidence provided by subsequent sparse pharmacokinetic data [14],[15]. In clinical practice, dosing strategies are usually pragmatic and based upon set weight or age banding. The inevitable consequence is that patients at the margins of these bands receive either lower or higher weight adjusted dosages. Furthermore, paediatric doses are often extrapolated from adult doses, since detailed pharmacokinetic data in children are frequently unavailable [15]. Thus, as detailed studies of a newly introduced drug are conducted, re-assessment of the original dosing recommendations based on a much larger body of evidence are needed to ensure that the original target doses are optimal for the key target populations, most notably the young children who carry the highest burden of disease in high intensity malaria transmission areas.
The Worldwide Antimalarial Resistance Network (WWARN) brings together malaria researchers from across the world. This collaborative resource provides a unique opportunity to conduct a series of individual patient data meta-analyses in which the dosing strategies of the recommended ACTs can be reviewed, to define the spectrum of treatment doses actually administered, and the degree to which these dose variations impact on the therapeutic efficacy [16]. The size of these pooled analyses provides unprecedented power and novel insights into the determinants of antimalarial efficacy. The first of these studies is focussed on the combination DP to explore the relationship between weight adjusted drug dosage (mg/kg) and therapeutic efficacy.
Methods
Data Pooling
All published antimalarial clinical trials reported in PubMed were identified through a systematic search of the literature of publications between 1st January 1960 and 15th February 2013. A further search was then made for those studies enrolling patients and treating them with DP. Further information on these literature reviews are available on the WWARN website [16]. Specific details on the relevant DP studies are presented in Texts S1 and S2 [11]–[13],[17]–[37]. Since the literature review was conducted, a further three clinical studies enrolling 408 patients treated with DP have been published. All research groups who have contributed to the WWARN data repository were also asked whether they were aware of any unpublished or ongoing clinical trials involving DP. Individual study protocols were available for all trials, either from the publication or as a metafile submitted with the raw data. The principal investigators of relevant studies were invited to contribute individual patient data to WWARN for a collaborative meta-analysis. A study was deemed eligible for the meta-analysis if patients were recruited and treated with DP and evaluated prospectively for clinical efficacy against P. falciparum (either alone or mixed infections), for a minimum of 28 days. Studies were included only if information was available on the treatment dose administered, the age and weight of the patient, and if genotyping was performed to distinguish between new infections and recrudescent infections. Both randomized and non-randomized studies were included. Data were anonymised, uploaded to the WWARN repository, and standardised using a methodology described in the WWARN Data Management and Statistical Analysis Plan (Text S3) [38].
Ethical Approval
All data included in this analysis were obtained in accordance with the laws and ethical approvals applicable to the countries in which the studies were conducted, and were obtained with the knowledge and consent of the individual to which they relate. Data were fully anonymised either before or during the process of uploading to the WWARN repository. Ethical approval to conduct individual participant data pooled analyses was granted to WWARN by the Oxford Tropical Research Ethics Committee (OxTREC).
Dosing Calculation
Where possible, the dose of DHA and PIP administered was calculated from the individual number of tablets administered to each patient daily. Where such data were not available, back-calculations were made, based on the dosing strategy presented in the study protocol, assuming correct adherence to the protocol. Only patients completing a full 3-day treatment regimen and included in the original analysis, were included in the meta-analysis.
Classification of Study Sites in Transmission Intensity Zones
Study sites were categorised into three strata according to known epidemiology: low, moderate, and high transmission settings. The classification of transmission intensity was based on the author's classification of the site as reported in the study publication. Where no transmission information was reported, then the transmission intensity was defined based on the triangulation of information available from: (i) the study protocol(s), (ii) observed reinfection rate, and (iii) transmission estimates obtained from the Malaria Atlas Project [39]. Further information about this classification is available in the Text S4.
Statistical Analysis
All statistical analyses were carried out using R (Version 2.14.0, The R Foundation for Statistical Computing), on the basis of an a priori statistical plan [40]. The full statistical plan is available in Text S5. The primary endpoint used in this analysis was the PCR-adjusted risk of P. falciparum recrudescence at the end of study follow-up. Secondary endpoints included the new infections of P. falciparum, parasitological clearance rates, and gametocyte carriage. The incidence risk of these endpoints at day 28, day 42, and day 63 was computed using survival analysis (Kaplan–Meier [K-M] estimates). Definitions of outcome status and censoring are detailed in the WWARN Clinical Module DMSAP v1.2 [38]. The K-M estimates were generated using all the individual patient data and any comparison of K-M survival curves were performed using log rank tests stratified by study and study site. For risk factor analyses, the dose of PIP was considered as a risk factor for recrudescence and reinfection because of its long half-life, whereas the dose of DHA was considered as a risk factor for parasitological clearance rates and gametocyte carriage due to its more rapid anti-parasitic activity and its shorter half-life. Univariable and multivariable analysis of risk factors associated with the primary and secondary endpoints (PCR-adjusted new infection) of interest was conducted using Cox's proportional hazards regression model in a one-step analysis by combining all the individual patient data in a single analysis. In order to account for within study clustering, a shared frailty model was used, in which a random effect was applied to both the study and study site (by combining study and study sites). The overall assumption of proportional hazards was assessed by a global test, and also separately for each of the covariates in the final model. The assumption of proportional hazards was tested for each of the individual studies, although this could not be applied to studies with a low number of events (fewer than ten). All variables significant at 10% level in univariable analysis were included in the multivariable analysis. Inclusion of covariates in the final model was based on their effect on model coefficients and the degree to which they improved the overall model based on a likelihood ratio test. The manufacturer of the drugs used in the studies and the methodology of calculation of mg per kg dose were included as potential covariates.
The population attributable risks (PARs) for treatment failure were calculated based on the prevalence of the risk factor in the population and its associated relative risk (adjusted hazard ratio) [41]. PARs were computed for exposure to a PIP dose below 48 mg/kg (the lower bound of WHO defined therapeutic range for PIP) and for a baseline parasitemia greater than 100,000/µl. The overall PAR (for a combination of risk factors), which is non-additive, was calculated as 1−[(1−PAR1)×(1−PAR2)×…×(1−PARn)]. In the final multivariable model, the predicted effect of increasing the mg/kg dose of PIP was calculated for every five unit increase, starting from 30 mg/kg. The 95th percentile of predicted risk was computed for each mg/kg dosage of PIP using each patient individual covariates evaluated at average random effect. Although the primary analysis was focussed on risk factors affecting the efficacy of the DP, the relationship between drug dose and gastrointestinal side effects (vomiting and diarrhoea) was also explored using logistic regression with random effects fitted for the individual study and study sites.
Results
Characteristics of Included Studies
In total, 23 principal investigators (PIs) were approached, of whom 16 submitted data from 29 studies contributing 8,081 patients for the pooled analysis. These data were derived from 77.7% (7,898/10,168) of patients reported in 77.1% (27/35) of the targeted published studies and an additional 183 patients from two unpublished studies (Figure 1). Three of these studies (n = 375) did not meet the inclusion criteria and 634 (8.2%) patients from the rest of the studies were excluded for protocol violations. In total 7,072 patients from 26 studies representing 70% of the targeted published literature on this treatment regimen, were included in the final analysis (Figure 1), of whom 2,807 (39.7%) were from 12 studies conducted in Asia, 4,009 (56.7%) from 13 studies from Africa, and 256 (3.6%) from one study conducted in South America (Table 1). Dosing was based on age and weight categories in two studies (n = 471), age category in one study (n = 124), and on weight bands in the remaining 23 studies (n = 6,477). Six studies (n = 2,072) followed up patients for 28 days, 12 studies (n = 2,664) for 42 days, one study (n = 58) for 56 days, and seven studies (n = 2,278) for 63 or more days. Three different combinations of DHA and PIP were used in the different studies; 51.4% (n = 3,636) of patients were treated with Artekin or Duo-Cotecxin(Holley-Cotec Pharmaceuticals Co), 47.8% (n = 3,381) with Eurartesim (Sigma Tau Industrie Farmaceutiche Riunite), and 0.8% (n = 55) of the patients were treated with Artecan (OPC Pharmaceutical). Drug intake was reported in all studies, with full supervision in 24 (92.3%) of the studies, partial supervision in one (3.8%), and a combination of full supervision and no supervision in one study (3.8%). Overall 2,628 (37.2%) patients were recruited in areas of high malaria transmission, 1,194 (16.9%) in areas of moderate transmission, and 3,250 (46%) in low transmission areas. Parasite genotyping was carried out in 25 studies: with 17 studies (n = 5,751) using three markers (MSP1, MSP2, and GLURP); three studies (n = 528) using two markers (MSP1, MSP2); three studies (n = 578) using MSP1, MSP2, and microsatellites; one study (n = 116) using only microsatellites; and in one study, the genotyping method was not stated (n = 41). Genotyping was not carried out in one study (n = 58) as there were no recurrent infections.
Baseline Characteristics
The baseline characteristics of patients included in the analysis are documented in Table 2. The median age of patients was 4.2 years (range 0.35–75 years), with 6.2% (439/7,072) younger than 1 year, 48.5% (3,429/7,072) from 1 up to 5 years, 13.4% (944/7,072) from 5 up to 12 years, and 31.9% (2,260/7,072) being 12 years or older. Compared to patients from Asia, those from African sites were significantly younger (median: 2.6 years [interquartile range (IQR): 1.5–4, range: 0.35–75] versus median: 18 years [IQR: 8–30, range: 0.7–65], respectively; p<0.001) and had a higher median baseline parasitemia (26,520 µl−1 [IQR: 8,379–62,400] versus 8,530 µl−1 [IQR: 2,240–29,026]; p<0.001). In the 256 patients from South America the median age was 23.5 years (IQR: 13–39) with a median baseline parasitemia of 6,274.5 µl−1 (IQR: 3,272–9,995).
Distribution of Dihydroartemisinin Dosing
The median total dose of DHA administered was 6.8 mg/kg [IQR: 6–8, range: 2.3–22.9] (Table 3). Overall 19.6% (1,387/7,072) of the patients received a total dose of DHA less than 6 mg/kg (the lower limit for DHA recommended by the WHO), although this varied significantly between age groups. None of the patients were exposed to a total DHA dose greater than 30 mg/kg (the upper limit recommended by the WHO). In a multivariable analysis controlling for weight, children from 1 up to 5 years were at the greatest risk of being exposed to a total dose of DHA < 6 mg/kg compared to infants younger than 1 year (adjusted odds ratio [AOR] = 1.7 [95% CI 1.2–2.3; p = 0.002]), children from 5 up to 12 years (AOR = 6.6 [95% CI 4.4–4.9; p<0.001]) and 12 years or older (AOR = 72.9 [95% CI 37.3–142.5; p<0.001]); p<0.005 for all comparisons. Patients from African sites were at greater risk of being exposed to a total dose of DHA dose below 6 mg/kg, compared to those from Asia (odds ratio [OR] = 3.3 [95% CI 1.5–7.6; p = 0.004]), but, this was no longer significant after adjusting for the age and weight of the patient (AOR = 2.13 [95% CI 0.90–5.07; p = 0.09]).
Distribution of Piperaquine Dosing
The median total dose of PIP administered was 53.3 mg/kg (IQR: 48.0–62.6, range: 18.2–182.9 mg/kg), but this varied significantly between age groups (Table 3). Overall, 20.3% (1,437/7,072) of patients received a total dose of PIP below 48 mg/kg (the lower limit recommended by WHO) (Figure 2), whereas only 2.2% (155/7,072) received a dose greater than 78 mg/kg (the WHO upper limit). Young children (from 1 up to 5 years of age) were at greater risk of receiving a total dose of PIP below 48 mg/kg compared to infants <1 year (OR = 2.3 [95% CI 1.7–3.2; p<0.001]), children from 5 up to 12 years (OR = 2.9 [95% CI 2.0–4.2; p<0.001]), and patients 12 years or older (OR = 2.3 [95% CI 1.7–3.3; p<0.001]). These comparisons remained statistically significant after adjusting for body weight (p<0.005 for all comparisons). Patients from African sites were at greater risk of being exposed to a total dose of PIP below 48 mg/kg, compared to those from Asia (OR = 3.0 [95% CI 1.3–7.0; p = 0.01]), however like DHA, this was no longer significant after adjusting for age. There was no significant difference in the risk of under dosing PIP between patients from South America and Asia.
Early Parasitological Response
The overall speed of parasite clearance was rapid (Table 4), with the overall parasite positivity rate (PPR) decreasing from 59% (3,083/5,222) on day 1, to 9.1% (576/6,321) on day 2, and 1.2% (70/5,697) on day 3. The PPR on day 1 and day 2 was higher in children younger than 5 years compared to older children and adults (≥5 years), with this difference being greatest on day 1 (OR = 1.70 [95% CI 120–2.40; p = 0.002]).
The dose of DP was a significant predictor of parasite positivity on day 3, with an OR of 0.81 (95% CI 0.67–0.97, p = 0.022) per unit increase in mg/kg of DHA and 0.97 (95% CI 0.94–0.99; p = 0.026) per unit increase in mg/kg PIP dose. These ORs remained statistically significant after controlling for age, baseline parasitemia, and transmission setting, AOR = 0.80 (95% CI 0.66–0.96; p = 0.017) and 0.97 (95% CI 0.94–0.99; p = 0.020) per unit increase in mg/kg DHA and PIP, respectively. The dose of DP was not a significant predictor of parasite positivity on day 1 or day 2.
Late Parasitological Response
In total, 704 (9.9%) patients had recurrent parasitemia detected during follow-up, of whom 136 (1.9%, 136/7,072) were confirmed by PCR as true recrudescence. In seven studies with a follow-up duration of 63 days (n = 2,278 and 34 confirmed recrudescent failures), nine (26.5%) patients failed before day 28, 16 (47%) patients failed between day 28 and day 42, and nine (26.5%) patients recurred after day 42. Overall PCR-corrected K-M survival estimates were 98.8% (95% CI 98.5–99%) at day 28, 97.7% (95% CI 97.3–98.1%) at day 42, and 97.2% (95% CI 96.7–97.7%) at day 63 (Figure 3; Table 5). The corresponding figures in children from 1 up to 5 years of age were 97.9% (95% CI 97.4–98.4%) at day 28, 95.8% (95% CI 94.9–96.7%) at day 42, and 94.4% (95% CI 92.6–96.2%) at day 63.
Risk Factors for Recrudescence
Six univariate factors on admission were associated with recrudescent parasitemia by day 42: the mg/kg PIP dose (hazard ratio [HR] = 0.86 [95% CI 0.78–0.94; p = 0.001] for every 5 mg/kg increase), baseline parasitemia (log scale) (HR = 1.26 [95% CI 1.10–1.44; p = 0.001]), presence of gametocytes at baseline (HR = 1.79 [95% CI 1.05–3.04; p = 0.032]), being from 1 up to 5 years of age (HR = 3.71 [95% CI 1.66–8.26; p = 0.002]), admission haemoglobin (HR = 0.92 [95% CI:0.83–1.01; p = 0.080]), and body weight (HR = 0.97 [95% CI 0.95–0.99; p = 0.010]) (Table 6). In a multivariable model, after adjusting for age and parasitemia the dose of PIP was a significant predictor for recrudescence (adjusted hazard ratio [AHR] = 0.87 [95% CI 0.79–0.95; p = 0.002] for every 5 mg/kg increase in PIP dose). In total 3% (44/1,437) of patients exposed to a dose of PIP less than 48 mg/kg experienced a recrudescent infection compared to 1.5% (83/5,633) of those who received a dose greater than 48 mg/kg kg (HR = 1.48 [95% CI 0.99–2.19; p = 0.05]).
Overall, the risk of recrudescence was greatest in the 1 up to 5 year age group, rising to 5.6% (95% CI 3.8–7.4) by day 63 (Tables 5 and 6). Compared to patients older than 12 years, children from 1 up to 5 years of age had HR of 3.71 (95% CI 1.66–8.26; p = 0.002) for the risk of recrudescence. The risk remained significant after adjusting for baseline parasitemia, and the mg/kg dose of PIP (AHR = 3.22 [95% CI 1.42–7.33; p = 0.005]). The population attributable risks of recrudescence are presented in Table 6. Overall, the model accounted for 65.1% of all treatment failures, with a low dose of PIP accounting for 7.7% and children from 1 up to 5 years of age for 53.5%.
In children aged from 1 up to 5 years of age (n = 3,429, 98 recrudescent failures), five risk factors on admission were associated with recrudescence failure by day 42; age (years) (HR = 0.73 [95% CI 0.59–0.89; p = 0.002]), body weight (HR = 0.87 [95% CI 0.79–0.96; p = 0.006]), enrolment parasitemia (log-scale) (HR = 1.22 [95% CI 1.04–1.43; p = 0.015]), admission haemoglobin (HR = 0.90 [95% CI 0.80–1.01; p = 0.079]), and mg/kg PIP dose (HR = 0.86 [95% CI 0.77–0.95; p = 0.003] for every 5 unit mg/kg). Since weight and age were collinear only weight was included in the multivariable analysis. In the multivariable model, the dose of PIP remained a significant risk factor (AHR = 0.87 [95% CI 0.78–0.97, p = 0.013] for every 5 unit mg/kg). The median total dose of PIP was 48.0 mg/kg (IQR: 42.8–53.3 mg/kg) in young children with recrudescence compared to 53.3 mg/kg (IQR: 45.7–64.0 mg/kg) in those who were cured (p<0.001). In the multivariable model every 5 unit increase in mg/kg dose of PIP was associated with a 13% (95% CI 3–22%) decrease in risk of recrudesecence; p = 0.013. In a predicted risk model, generated from patients' individual covariates, a dose of 59 mg/kg PIP was sufficient to ensure a day 42 cure rate above 95% (Figure 4). Children aged from 1 up to 5 years receiving a PIP dose below 59 mg/kg were at twice the risk of recrudescence (AHR = 2.03 [95% CI 1.2–3.42; p = 0.008]), and this accounted for 39.3% (PAR) of all recrudescent infections. By day 42 the risk of recrudescence in patients receiving a PIP dose below this threshold was 5.5% (95% CI 4.2–6.7) compared to 2.1% (95%: 1.1–3.0) in patients receiving a higher dose, p<0.001 (Figure 5).
Gametocyte Carriage
The overall gametocyte carriage decreased from 12.3% at enrolment to 8.3% on day 7 a reduction of 4.0% (95% CI 2.8%–5.2%) and fell further thereafter; p<0.001 (Figure 6). Exposure to a total DHA dose below 6 mg/kg was associated with a non-significant increased risk of gametocyte carriage on day 7 (OR = 1.34 [95% CI 0.97–1.85; p = 0.076]); however, this was significant after adjusting for age, baseline gametocytemia, and parasitemia (AOR = 1.56 [95% CI 1.08–2.24; p = 0.015]). The dose of DHA did not correlate with the risk of gametocyte reappearing.
Safety Parameters
In total 3.2% (54/1,669) of patients with full documentation of tablet administration did not complete a full course of DP. In four (7.4%) cases this was due to adverse events (two patients had recurrent vomiting, one had diarrhoea, and one patient developed a rash). Information regarding acute vomiting of medication was available for ten studies with 8.8% (376/4,272) of the patients vomiting within an hour of drug administration, this proportion being greatest in infants and children from 1 up to 5 years of age (Table 7). Data on patients vomiting within the preceding 24 hours were available in 13 studies and reported in 16.6% (736/4,440) of the patients. The incidence of diarrhoea within the first 7 days of follow-up was available in 11 studies, and occurred in 11.6% (530/4,560) of patients. After controlling for age, parasitemia, and fever at presentation the risks of vomiting or diarrhoea were not correlated with the mg/kg dose of PIP.
A total of 21 severe adverse events (SAEs) were reported from five studies (n = 2,873), but in none of the patients in eight other studies (n = 1,120). In the remaining 13 studies, severe adverse events were not reported or the data were unavailable. These severe events included one patient with diarrheal disease, considered unrelated to treatment who died, three patients with severe anaemia, three with recurrent vomiting, two with pyomyositis, two with acute pyelonephritis, two with recurrent P. falciparum infections, and one patient each with one of the following: abnormal skin, a swollen arm, anorexia, aspiration pneumonia, cerebritis, convulsions, high fever, and hyperparasitemia P. falciparum infection. Five patients were younger than 1 year, five were from 1 up to 5 years of age, and eleven were older than 5 years. There was no evidence of these SAEs being related with the mg/kg dose of PIP.
Discussion
Over the last decade, a number of clinical trials have highlighted the impressive antimalarial efficacy of DP, which was added to the WHO list of antimalarials recommended for first line therapy in 2010 [5]. We present the largest pooled analysis of DP efficacy yet described, to our knowledge, including more than two-thirds of all data from the published literature. Overall the efficacy of DP was excellent, exceeding 98% at day 28 and 97% at day 42, consistent with published results from Africa [12],[17],[18],[21],[25],[26],[29],[31],[35]–[37], Asia [13],[19],[20],[23],[24],[27],[28],[30],[32]–[34], and South America [22]. However our study reveals an important sub-group of patients who are at particular risk of treatment failure.
ACTs have become a cornerstone of the current global strategy for the control and elimination of malaria and are considered a major factor in achieving the substantial gains in malaria control observed in many endemic settings over the past decade. However, these gains are now under threat from the emergence of antimalarial drug resistance, both to the artemisinin derivatives [42],[43] and their partner drugs [44]. It is crucial that current treatment guidelines advocate that drug regimens be deployed using optimal dosing strategies to maximise the likelihood of rapid clinical and parasitological cure, minimize transmission, and retard the onset and spread of drug resistance.
Ideally, antimicrobial dose recommendations should be derived from an understanding of the dose response curve, the age stratified pharmacokinetic profile of the drugs, and awareness of any dose related toxicity. The current WHO guidelines for DP recommend a target PIP dose range between 48 and 78 mg/kg [5]. However these initial recommendations were based predominantly on pharmacokinetic studies in older children and adults [45]. Our meta-analysis of a large and diverse population of patients provides the power to define the dose effect of mg/kg dose on DP therapeutic efficacy across a wide age range and transmission settings.
Compared to adults, children from 1 up to 5 years were at almost 4-fold greater risk of treatment failure (Table 6), with 5.6% of young children at a risk of suffering recrudescent infection by day 63 compared to 2.8% in the overall population. The increased risk in young children has been attributed to reduced host immunity [2], exacerbated by these pauci-immune individuals being at greater risk of presenting with a higher baseline parasitemia, itself an independent risk factor for treatment failure [46],[47]. As predicted, both age and parasitemia were important determinants of DP efficacy. After controlling for these factors, the mg/kg dose of PIP administered was the most important risk factor predictive of treatment failure. There was no difference in efficacy by manufacturer after adjusting for these covariates. Although the 94% efficacy in young children was above the 90% limit at which the WHO recommends a change in treatment policy, it suggests that the currently recommended target dose for PIP in young children is at a critical part of the dose response curve exposing parasites to a strong selective drug pressure [7],[48]. Given the high burden of malaria carried by children between 1 and 5 years this represents a potentially important parasite reservoir that could drive the evolution of PIP resistance and ultimately the decline in DP's efficacy. Our analysis predicts that raising the target minimum dose of PIP in this age group to 59 mg/kg would halve the risk of treatment failure and ensure cure of at least 95% of young children (Figure 5).
Pharmacokinetic studies highlight that the absorption, elimination, and protein binding of several antimalarials vary with both age and weight [15],[48]–[50]. The blood concentrations of long acting antimalarials 7 days after commencing antimalarial treatment correlate with the area under the curve and time during which blood concentrations exceed the minimum inhibitory concentration of the parasite; these have been shown to provide a useful predictor of treatment failure [15],[45]. Blood concentrations of PIP on day 7 are consistently lower in children than adults, a consequence of a smaller volume of distribution, higher clearance, and shorter elimination half-life [15],[45],[51], and this correlates with an increased risk of clinical failure [45]. The lack of a paediatric formulation compounds this further, since dosing by whole or half tablets and in young children can result in a high proportion of children at the extremes of weight or age bands receiving either too high or too low doses [45].
Our pooled analysis highlights that each mg/kg unit decrease in DHA dose is associated with a 20% increased risk of remaining parasitemic on day 3. Furthermore administration of a DHA dose below the WHO recommended 6 mg/kg was associated with a 1.6-fold greater risk of having microscopically detectable gametocytes on day 7. Several previous studies have shown DP to be associated with greater gametocyte carriage compared to other ACTs [12],[22],[32], and a higher risk of parasite transmission to mosquitoes compared to artemether-lumefantrine [31]. This may reflect the lower total dose of DHA in DP compared to that of artemether dose in artemether-lumefantrine [11],[52].
Our analysis suggests that increasing the dose of both DHA and PIP is likely to improve the cure rate of DP in young children and increase gametocyte clearance, both important considerations in reducing parasite transmission particularly in areas where malaria elimination is being pursued. Young children from 1 up to 5 years currently are at the highest risk of being dosed below the WHO recommended minimum of 48 mg/kg, and the lowest PIP exposure for any given mg/kg dose, when compared with older children and adults [15]. However any revision of dosage recommendations must also consider available pharmacokinetic data and careful appraisal of the tolerability and safety of PIP in the key target populations. In this context concerns have been raised by a limited number of studies which have previously documented a dose relationship between PIP and both gastrointestinal and electrocardiographic adverse effects [14]. Analysis of adverse events can be difficult to address retrospectively since these parameters vary in their definition and are often subjective. Data on the more objective measures of gastrointestinal tolerability were available in ten studies included in our pooled analysis. Reassuringly there was no evidence that increasing the dose of PIP had any significant impact on acute vomiting of medication, history of vomiting or diarrhoea.
Our clinical findings and those of complementary pharmacological studies suggest that it is inappropriate to recommend a single target dose of PIP across all age or weight ranges. Retrospective studies of parasites from areas where sulfadoxine-pyrimethamine (SP) was adopted as first line treatment for malaria reveal a cautionary tale. Early evidence of incipient resistance was present long before SP treatment failure became manifest at high levels. It is highly likely that the sub-optimal dosing in young children hastened the demise of SP as a useful antimalarial [7],[48]. The deployment of DP should not relegate this important ACT to a similar history.
Our study has a number of limitations. Although the clinical data used in the analysis constitute almost 70% of the relevant published literature on this treatment regimen, eight studies (2,100 patients) and 170 patients from targeted studies were not available. No specific reasons were given by the investigators for being unable to join the study group, but the majority of these were from Asia. Comparison of the more complete dataset from Africa showed no regional differences in our analysis suggesting that a systematic attrition bias was unlikely. Another limitation of the study is that only in 23% (1,669/7,072) of patients, could drug doses be calculated from the actual number of tablets administered, the total dose in the remainder being extrapolated from the number of tablets predicted to have been administered according to age and weight criteria defined in the study protocol, assuming complete adherence by the attending clinical staff. Although errors in drug administration may have occurred these were generally identified and the patients censored from analysis. Reassuringly, a sensitivity analysis of a subgroup of patients in whom the exact number of tablets was recorded generated identical parameters to the models of the complete dataset. Another limitation arose from DP being a fixed dose combination, making it impossible to determine whether the observed treatment effects were attributable to the dose of PIP, DHA, or a combination of both. The initial reduction in parasite biomass is widely regarded as being determined by the artemisinin derivative because of its significantly higher potency and faster action, whereas the parasite biomass remaining after 3 days of artemisinin exposure is dependent on its elimination by the intrinsically less active partner drug with longer half-life. This is not always the case since several longer acting partner drugs have been shown to contribute to the initial parasite clearance following ACTs [53]. Disaggregating these effects will be important if this combination were to be reformulated with different DHA:PIP ratios.
Our analysis highlights the power of pooled analyses from diverse clinical settings to assess geospatial and temporal trends in antimalarial efficacy. These observations provide critical information for national and international policymakers. Our study confirms that DP is an important addition to the malaria pharmacopoeia; however although its overall efficacy is high, young children are vulnerable to receiving an inadequate dose of PIP and this is associated with an increased risk of recrudescence, prolonged parasite positivity, and greater gametocyte carriage. Together these constitute a potential threat to the useful therapeutic life of one of our most valuable ACTs and suggest that further dose optimisation studies in young children are warranted, including detailed pharmacokinetic evaluation and safety monitoring to ensure the tolerability of any proposed increase in dose. Preservation of the longest possible therapeutic life for our antimalarial armamentarium must be one of the highest priorities for achieving the global elimination of malaria.
Supporting Information
Zdroje
1. CarneiroI, Roca-FeltrerA, GriffinJT, SmithL, TannerM, et al. (2010) Age-patterns of malaria vary with severity, transmission intensity and seasonality in sub-Saharan Africa: a systematic review and pooled analysis. PLoS One 5: e8988 doi: 10.1371/journal.pone.0008988
2. PriceR, LuxemburgerC, van VugtM, NostenF, KhamA, et al. (1998) Artesunate and mefloquine in the treatment of uncomplicated multidrug-resistant hyperparasitaemic falciparum malaria. Trans R Soc Trop Med Hyg 92: 207–211.
3. SinclairD, ZaniB, DoneganS, OlliaroP, GarnerP (2009) Artemisinin-based combination therapy for treating uncomplicated malaria. Cochrane Database Syst Rev CD007483.
4. WhiteNJ (2008) The role of anti-malarial drugs in eliminating malaria. Malar J 7 (Suppl 1) S8.
5. WHO (2010) Guidelines for the treatment of malaria, second edition. 2012. Available: http://whqlibdoc.who.int/publications/2010/9789241547925_eng.pdf.
6. WHO (2012) World malaria report 2012. 2012. Available: http://www.who.int/malaria/publications/world_malaria_report_2012/wmr2012_full_report.pdf.
7. BarnesKI, WatkinsWM, WhiteNJ (2008) Antimalarial dosing regimens and drug resistance. Trends Parasitol 24: 127–134.
8. WhiteNJ, PongtavornpinyoW, MaudeRJ, SaralambaS, AguasR, et al. (2009) Hyperparasitaemia and low dosing are an important source of anti-malarial drug resistance. Malar J 8: 253.
9. SinclairD, GogtayN, BrandF, OlliaroP (2011) Artemisinin-based combination therapy for treating uncomplicated Plasmodium vivax malaria. Cochrane Database Syst Rev CD008492.
10. ZwangJ, AshleyEA, KaremaC, D'AlessandroU, SmithuisF, et al. (2009) Safety and efficacy of dihydroartemisinin-piperaquine in falciparum malaria: a prospective multi-centre individual patient data analysis. PLoS One 4: e6358 doi:10.1371/journal.pone.0006358
11. BassatQ, MulengaM, TintoH, PiolaP, BorrmannS, et al. (2009) Dihydroartemisinin-piperaquine and artemether-lumefantrine for treating uncomplicated malaria in African children: a randomised, non-inferiority trial. PLoS One 4: e7871 doi:10.1371/journal.pone.0007871
12. Four Artemisinin-Based Combinations Study G (2011) A head-to-head comparison of four artemisinin-based combinations for treating uncomplicated malaria in African children: a randomized trial. PLoS Med 8: e1001119 doi:10.1371/journal.pmed.1001119
13. ValechaN, PhyoAP, MayxayM, NewtonPN, KrudsoodS, et al. (2010) An open-label, randomised study of dihydroartemisinin-piperaquine versus artesunate-mefloquine for falciparum malaria in Asia. PLoS One 5: e11880 doi:10.1371/journal.pone.0011880
14. DavisTM, HungTY, SimIK, KarunajeewaHA, IlettKF (2005) Piperaquine: a resurgent antimalarial drug. Drugs 65: 75–87.
15. TarningJ, ZongoI, SomeFA, RouambaN, ParikhS, et al. (2012) Population pharmacokinetics and pharmacodynamics of piperaquine in children with uncomplicated falciparum malaria. Clin Pharmacol Ther 91: 497–505.
16. WWARN (2013) Clinical trials review. Available: http://www.wwarn.org/resistance/malaria/literature/overview.
17. AdamI, SalahMT, EltahirHG, ElhassanAH, ElmardiKA, et al. (2010) Dihydroartemisinin-piperaquine versus artemether-lumefantrine, in the treatment of uncomplicated Plasmodium falciparum malaria in central Sudan. Ann Trop Med Parasitol 104: 319–326.
18. ArinaitweE, SandisonTG, WanziraH, KakuruA, HomsyJ, et al. (2009) Artemether-lumefantrine versus dihydroartemisinin-piperaquine for falciparum malaria: a longitudinal, randomized trial in young Ugandan children. Clin Infect Dis 49: 1629–1637.
19. AshleyEA, KrudsoodS, PhaiphunL, SrivilairitS, McGreadyR, et al. (2004) Randomized, controlled dose-optimization studies of dihydroartemisinin-piperaquine for the treatment of uncomplicated multidrug-resistant falciparum malaria in Thailand. J Infect Dis 190: 1773–1782.
20. AshleyEA, McGreadyR, HutagalungR, PhaiphunL, SlightT, et al. (2005) A randomized, controlled study of a simple, once-daily regimen of dihydroartemisinin-piperaquine for the treatment of uncomplicated, multidrug-resistant falciparum malaria. Clin Infect Dis 41: 425–432.
21. BorrmannS, SasiP, MwaiL, BashraheilM, AbdallahA, et al. (2011) Declining responsiveness of Plasmodium falciparum infections to artemisinin-based combination treatments on the Kenyan coast. PLoS One 6: e26005 doi:10.1371/journal.pone.0026005
22. GrandeT, BernasconiA, ErhartA, GamboaD, CasapiaM, et al. (2007) A randomised controlled trial to assess the efficacy of dihydroartemisinin-piperaquine for the treatment of uncomplicated falciparum malaria in Peru. PLoS One 2: e1101 doi:10.1371/journal.pone.0001101
23. HasugianAR, PurbaHL, KenangalemE, WuwungRM, EbsworthEP, et al. (2007) Dihydroartemisinin-piperaquine versus artesunate-amodiaquine: superior efficacy and posttreatment prophylaxis against multidrug-resistant Plasmodium falciparum and Plasmodium vivax malaria. Clin Infect Dis 44: 1067–1074.
24. JanssensB, van HerpM, GoubertL, ChanS, UongS, et al. (2007) A randomized open study to assess the efficacy and tolerability of dihydroartemisinin-piperaquine for the treatment of uncomplicated falciparum malaria in Cambodia. Trop Med Int Heal 12: 251–259.
25. KamyaMR, YekaA, BirwaH, LugemwaM, RwakimariJB, et al. (2007) Artemether-lumefantrine versus dihydroartemisinin-piperaquine for treatment of malaria: a randomized trial. PLoS Clin Trials 2: e20 doi:10.1371/journal.pctr.0020020
26. KaremaC, FanelloCI, van OvermeirC, van GeertruydenJP, van DorenW, et al. (2006) Safety and efficacy of dihydroartemisinin/piperaquine (Artekin) for the treatment of uncomplicated Plasmodium falciparum malaria in Rwandan children. Trans R Soc Trop Med Hyg 100: 1105–1111.
27. KarunajeewaHA, MuellerI, SennM, LinE, LawI, et al. (2008) A trial of combination antimalarial therapies in children from Papua New Guinea. N Engl J Med 359: 2545–2557.
28. MayxayM, ThongpraseuthV, KhanthavongM, LindegardhN, BarendsM, et al. (2006) An open, randomized comparison of artesunate plus mefloquine vs. dihydroartemisinin-piperaquine for the treatment of uncomplicated Plasmodium falciparum malaria in the Lao People's Democratic Republic (Laos). Trop Med Int Heal 11: 1157–1165.
29. MensPF, SawaP, van AmsterdamSM, VersteegI, OmarSA, et al. (2008) A randomized trial to monitor the efficacy and effectiveness by QT-NASBA of artemether-lumefantrine versus dihydroartemisinin-piperaquine for treatment and transmission control of uncomplicated Plasmodium falciparum malaria in western Kenya. Malar J 7: 237.
30. RatcliffA, SiswantoroH, KenangalemE, MaristelaR, WuwungRM, et al. (2007) Two fixed-dose artemisinin combinations for drug-resistant falciparum and vivax malaria in Papua, Indonesia: an open-label randomised comparison. Lancet 369: 757–765.
31. SawaP, ShekalagheSA, DrakeleyCJ, SutherlandCJ, MweresaCK, et al. (2013) Malaria transmission after artemether-lumefantrine and dihydroartemisinin-piperaquine: a randomized trial. J Infect Dis 207: 1637–1645.
32. SmithuisF, KyawMK, PheO, AyeKZ, HtetL, et al. (2006) Efficacy and effectiveness of dihydroartemisinin-piperaquine versus artesunate-mefloquine in falciparum malaria: an open-label randomised comparison. Lancet 367: 2075–2085.
33. SmithuisF, KyawMK, PheO, WinT, AungPP, et al. (2010) Effectiveness of five artemisinin combination regimens with or without primaquine in uncomplicated falciparum malaria: an open-label randomised trial. Lancet Infect Dis 10: 673–681.
34. TranTH, NguyenTT, NguyenHP, BoniMF, NgoVT, et al. (2012) In vivo susceptibility of Plasmodium falciparum to artesunate in Binh Phuoc Province, Vietnam. Malar J 11: 355.
35. YavoW, FayeB, KueteT, DjohanV, OgaSA, et al. (2011) Multicentric assessment of the efficacy and tolerability of dihydroartemisinin-piperaquine compared to artemether-lumefantrine in the treatment of uncomplicated Plasmodium falciparum malaria in sub-Saharan Africa. Malar J 10: 198.
36. YekaA, DorseyG, KamyaMR, TalisunaA, LugemwaM, et al. (2008) Artemether-lumefantrine versus dihydroartemisinin-piperaquine for treating uncomplicated malaria: a randomized trial to guide policy in Uganda. PLoS One 3: e2390 doi:10.1371/journal.pone.0002390
37. ZongoI, DorseyG, RouambaN, DokomajilarC, SereY, et al. (2007) Randomized comparison of amodiaquine plus sulfadoxine-pyrimethamine, artemether-lumefantrine, and dihydroartemisinin-piperaquine for the treatment of uncomplicated Plasmodium falciparum malaria in Burkina Faso. Clin Infect Dis 45: 1453–1461.
38. WWARN (2012) Clinical Module: Data Management and Statistical Analysis Plan Version 1.2. Oxford. Available: http://www.wwarn.org/sites/default/files/ClinicalDMSAP.pdf.
39. GethingPW, PatilAP, SmithDL, GuerraCA, ElyazarIR, et al. (2011) A new world malaria map: Plasmodium falciparum endemicity in 2010. Malar J 10: 378.
40. WWARN (2012) Statistical Analysis Plan DHA-PQP Dose Impact Study Group. Version 1.9. Oxford. Available: http://www.wwarn.org/sites/default/files/DHA-PQPDoseImpactStudyGroupSAP.pdf.
41. LevinML (1953) The occurrence of lung cancer in man. Acta Unio Int Contra Cancrum 9: 531–541.
42. DondorpAM, NostenF, YiP, DasD, PhyoAP, et al. (2009) Artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med 361: 455–467.
43. PhyoAP, NkhomaS, StepniewskaK, AshleyEA, NairS, et al. (2012) Emergence of artemisinin-resistant malaria on the western border of Thailand: a longitudinal study. Lancet 379: 1960–1966.
44. LeangR, BarretteA, BouthDM, MenardD, AbdurR, et al. (2013) Efficacy of dihydroartemisinin-piperaquine for treatment of uncomplicated Plasmodium falciparum and Plasmodium vivax in Cambodia, 2008 to 2010. Antimicrob Agents Chemother 57: 818–826.
45. PriceRN, HasugianAR, RatcliffA, SiswantoroH, PurbaHL, et al. (2007) Clinical and pharmacological determinants of the therapeutic response to dihydroartemisinin-piperaquine for drug-resistant malaria. Antimicrob Agents Chemother 51: 4090–4097.
46. NacherM, CarraraVI, AshleyE, McGreadyR, HutagalungR, et al. (2004) Seasonal variation in hyperparasitaemia and gametocyte carriage in patients with Plasmodium falciparum malaria on the Thai-Burmese border. Trans R Soc Trop Med Hyg 98: 322–328.
47. WhiteNJ (2008) How antimalarial drug resistance affects post-treatment prophylaxis. Malar J 7: 9.
48. BarnesKI, LittleF, SmithPJ, EvansA, WatkinsWM, et al. (2006) Sulfadoxine-pyrimethamine pharmacokinetics in malaria: pediatric dosing implications. Clin Pharmacol Ther 80: 582–596.
49. CreekDJ, BigiraV, McCormackS, ArinaitweE, WanziraH, et al. (2013) Pharmacokinetic predictors for recurrent malaria after dihydroartemisinin-piperaquine treatment of uncomplicated malaria in Ugandan infants. J Infect Dis 207: 1646–1654.
50. MwesigwaJ, ParikhS, McGeeB, GermanP, DrysdaleT, et al. (2010) Pharmacokinetics of artemether-lumefantrine and artesunate-amodiaquine in children in Kampala, Uganda. Antimicrob Agents Chemother 54: 52–59.
51. SalmanS, Page-SharpM, BattyKT, KoseK, GriffinS, et al. (2012) Pharmacokinetic comparison of two piperaquine-containing artemisinin combination therapies in Papua New Guinean children with uncomplicated malaria. Antimicrob Agents Chemother 56: 3288–3297.
52. TranTH, DolecekC, PhamPM, NguyenTD, NguyenTT, et al. (2004) Dihydroartemisinin-piperaquine against multidrug-resistant Plasmodium falciparum malaria in Vietnam: randomised clinical trial. Lancet 363: 18–22.
53. StepniewskaK, AshleyE, LeeSJ, AnsteyN, BarnesKI, et al. (2010) In vivo parasitological measures of artemisinin susceptibility. J Infect Dis 201: 570–579.
Štítky
Interné lekárstvoČlánok vyšiel v časopise
PLOS Medicine
2013 Číslo 12
- Statinová intolerance
- Očkování proti virové hemoragické horečce Ebola experimentální vakcínou rVSVDG-ZEBOV-GP
- Co dělat při intoleranci statinů?
- Pleiotropní účinky statinů na kardiovaskulární systém
- DESATORO PRE PRAX: Aktuálne odporúčanie ESPEN pre nutričný manažment u pacientov s COVID-19
Najčítanejšie v tomto čísle
- Artemisinin Combination Therapy: A Good Antimalarial, but Is the Dose Right?
- Circulating Mitochondrial DNA in Patients in the ICU as a Marker of Mortality: Derivation and Validation
- Timing and Completeness of Trial Results Posted at ClinicalTrials.gov and Published in Journals
- Malaria and Severe Anemia: Thinking beyond