Open Access

Assessment of the efficacy of antimalarial drugs recommended by the National Malaria Control Programme in Madagascar: Up-dated baseline data from randomized and multi-site clinical trials

  • Didier Ménard1Email author,
  • Arsène Ratsimbasoa2,
  • Milijaona Randrianarivelojosia1,
  • Léon-Paul Rabarijaona2,
  • Lucie Raharimalala1,
  • Olivier Domarle3,
  • Laurence Randrianasolo2,
  • Arthur Randriamanantena2,
  • Martial Jahevitra1,
  • Valérie Andriantsoanirina1,
  • Marie-Ange Rason1,
  • Rogelin Raherinjafy1,
  • Emma Rakotomalala1,
  • Luciano Tuseo4 and
  • Andrianirina Raveloson5
Malaria Journal20087:55

DOI: 10.1186/1475-2875-7-55

Received: 01 December 2007

Accepted: 04 April 2008

Published: 04 April 2008

Abstract

Background

In order to improve the monitoring of the antimalarial drug resistance in Madagascar, a new national network based on eight sentinel sites was set up. In 2006/2007, a multi-site randomized clinical trial was designed to assess the therapeutic efficacy of chloroquine (CQ), sulphadoxine-pyrimethamine (SP), amodiaquine (AQ) and artesunate plus amodiaquine combination (ASAQ), the antimalarial therapies recommended by the National Malaria Control Programme (NMCP).

Methods

Children between six months and 15 years of age, with uncomplicated falciparum malaria, were enrolled. Primary endpoints were the day-14 and day-28 risks of parasitological failure, either unadjusted or adjusted by genotyping. Risks of clinical and parasitological treatment failure after adjustment by genotyping were estimated using Kaplan-Meier survival analysis. Secondary outcomes included fever clearance, parasite clearance, change in haemoglobin levels between Day 0 and the last day of follow-up, and the incidence of adverse events.

Results

A total of 1,347 of 1,434 patients (93.9%) completed treatment and follow-up to day 28. All treatment regimens, except for the chloroquine (CQ) treatment group, resulted in clinical cure rates above 97.6% by day-14 and 96.7% by day-28 (adjusted by genotyping). Parasite and fever clearance was more rapid with artesunate plus amodiaquine, but the extent of haematological recovery on day-28 did not differ significantly between the four groups. No severe side-effects were observed during the follow-up period.

Conclusion

These findings (i) constitute an up-dated baseline data on the efficacy of antimalarial drugs recommended by the NMCP, (ii) show that antimalarial drug resistance remains low in Madagascar, except for CQ, compared to the bordering countries in the Indian Ocean region such as the Comoros Archipelago and (iii) support the current policy of ASAQ as the first-line treatment in uncomplicated falciparum malaria.

Background

Despite major efforts made by national and international health organizations, malaria remains the most widespread infectious parasitic diseases and one of the most serious global health problems in the world [1]. In sub-Saharan African, the main problem is Plasmodium falciparum drug-resistance, especially with the spread of the parasite resistance to the inexpensive and widely used drugs, such as chloroquine (CQ) or sulphadoxine-pyrimethamine (SP) [2, 3], and the major consequence is the use of ineffective antimalarial drugs leading to the increasing malarial incidence and mortality [4, 5].

Therefore, substantial efforts have been made to encourage the monitoring and the evaluation of the antimalarial drugs resistance in the endemic countries for assessing regularly their antimalarial drug policies and ensuring a continued coverage of effective antimalarial treatment [6].

In Madagascar, since 2005, antimalarial treatment is in transition with the elaboration and the implementation of the new national policy for the fight against malaria [7]. The main modifications in term of drugs use has been the withdrawal of CQ in favour of artemisinin combination therapies (ACTs), as first-line (artesunate plus amodiaquine combination, ASAQ) and second-line treatment (artemether plus lumefantrine combination), and the use of the SP for intermittent preventive treatment for pregnant women (IPTp). This choice was guided by the recommendations of WHO and unpublished data from a clinical trial conducted on the island of Sainte Marie in 2004, which show 36.9% of treatment failure over the 14-day follow-up period, unadjusted by genotyping. However, with regards to the home treatment of presumed malaria in children (HMM), it has been decided to continue to use pre-packaged chloroquine, either PaluStop® sold by the NGO "Population Service International" (PSI) or Ody Tazomoka® freely distributed at primary public health facilities by Malagasy Ministry of Health (MalMoH), as transitory measure until ACTs were available at community level [8]. At present, the implementation of the ACTs as first-line treatment at health centres level is complete on the east coast of Madagascar, with the result that only 24% (31/131) of the health districts in Madagascar are using ACT.

Since 1999, the antimalarial drug resistance surveillance system in Madagascar is supported by a national network for the surveillance of malaria resistance (named RER – Réseau d'Etude de la Résistance). The RER was formed as a collaborative effort between the MalMoH and the Malaria Research Unit of the Institut Pasteur de Madagascar (IPM). The strategy of monitoring was initially based on the use of the in vitro assessment of P. falciparum sensitivity to antimalarial drugs and the evaluation of the frequency of genetic markers associated with P. falciparum drug resistance [9, 10]. In vivo studies were also carried out, but these studies were limited geographically, the sample sizes were small and used only a 14-day follow-up period, a series of constraints which may have significantly underestimated the true risk of treatment failure [1114].

In order to improve the monitoring of antimalarial drug resistance in Madagascar, a new RER was set up in 2006, with the support of Global Fund. According to the WHO recommendation [15], this network was based on sentinel sites located within public or private health facilities and selected to be representative of the range of ecological and epidemiologic conditions. The main purpose of this paper is to report the establishment of the new RER, and to present the up-dated baseline data from multi-site randomized clinical trial assessing the therapeutic efficacy of antimalarial therapies recommended by the National Malaria Control Programme.

Methods

Organizational structure and study sites

The antimalarial drug efficacy trials were conducted in two steps in eight sentinel sites located in the four different malarious epidemiological strata throughout Madagascar: from February to June 2006, in Ejeda and Ihosy in the South Madagascar (sub-desert stratum, epidemic prone), in Maevatanana and Miandrivazo in the West Madagascar (tropical stratum, seasonal and endemic area) and in Tsiroanomandidy and Moramanga in the foothills of the Central Highlands of Madagascar (highlands stratum, low-endemic area); from March to August 2007 in Andapa and Farafangana in the East Madagascar (equatorial stratum, perennial endemic area) (Figure 1).
https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-7-55/MediaObjects/12936_2007_Article_530_Fig1_HTML.jpg
Figure 1

Map of Madagascar based on malarious epidemiological strata and the eight selected sentinel sites involved for monitoring the antimalarial drug resistance [19].

Patient enrolment

This was an open-label trial in which patients with microscopically-confirmed falciparum malaria were randomized into three or four treatment groups according to sentinel sites: CQ, amodiaquine (AQ), SP or ASAQ in Ejeda, Ihosy, Miandrivazo, Maevatanana and Moramanga; CQ, AQ and SP in Tsiroanomandidy and AQ, SP and ASAQ in Andapa and Farafangana.

All patients aged between six months and 15 years were eligible to be enrolled and were screened for malaria at the primary health centres in the sentinel sites on the basis of history of febrile illness. According to the slightly modified WHO 2003 protocol [15], inclusion criteria were (i) monoinfection with P. falciparum at a parasitaemia between 1,000 and 200,000/μl, (ii) axillary temperature ≥ 37.5°C, (iii) body weight > 5 kg, (iv) absence of severe malnutrition, (v) absence of febrile conditions caused by diseases other than malaria, (vi) absence of 'danger signs' (inability to stand, breastfeeding or drink; recent convulsions; lethargy or persistent vomiting) and of severe and complicated malaria, (vii) haemoglobin (Hb) ≥ 5 g/dl, and (viii) informed written consent of parents/guardians. Known hypersensitivity to SP, AQ, or AS was considered as an exclusion criterion. Once written informed consent was given, patients were enrolled in the study and assigned consecutive patient numbers. Randomization to treatment group was performed in blocks of three or four, and treatment regimens were allocated by an independent individual, not involved in the analysis of the study.

Treatment and follow-up procedures

Patients were administered either CQ (10 mg/kg on days 0 and 1, and 5 mg/kg on day 2), AQ (10 mg/kg on days 0, 1, and 2), SP (25 mg/kg sulphadoxine and 1.25 mg/kg pyrimethamine as a single dose on day 0) or ASAQ (AS: 4 mg/kg on days 0, 1, and 2 and AQ:10 mg/kg on days 0, 1, and 2). Patients were directly observed for 30 minutes after treatment, and the dose was readministered if vomiting occurred. Patients who repeatedly vomited their first dose of study medication were excluded from the study.

Patients were assessed on days 1, 2, 3, 7, 14, 21 and 28, and any intervening day they were unwell for malaria infection. Blood was obtained by finger prick on all follow-up days and on any unscheduled day to use for analysis of thick and thin blood smears and for storage on filter paper. Thick and thin blood slides were examined by light microscopy for parasites on any day during the 28-day follow-up. Blood slides were read by a microscopist blind to treatment allocation. All slides were controlled by a second microscopist also blind to treatment group and previous diagnosis. Discordant slides were read, blind to treatment group and previous diagnosis, by a third microscopist. Haemoglobin was measured on Day 0 and Day 28 using a HemoCue haemoglobinometre (HemoCue AB, Ängelholm, Sweden).

Outcome measures

Treatment outcomes were assessed according to WHO 2003 guidelines as Early Treatment Failure (ETF; danger signs or complicated malaria or failure to adequately respond to therapy on days 0–3), Late Clinical Failure (LCF; danger signs or complicated malaria or fever and parasitemia on days 4–28 without previously meeting criteria for ETF), Late Parasitological Failure (LPF; asymptomatic parasitaemia on days 4–28 without previously meeting criteria for ETF or LCF), and Adequate Clinical and Parasitological Response (ACPR; absence of parasitaemia on day 28 without previously meeting criteria for ETF, LCF, or LPF) [15]. Overall Treatment failure (OFT) was considered as the sum of the ETP, LCT and LPF.

Patients classified as having suffered treatment failure were treated with quinine (10 mg/kg three times daily for seven days); however, their response to repeat therapy was not assessed. Patients were excluded after enrolment if any of the following occurred: (i) use of antimalarial drugs outside of the study protocol; (ii) detection during follow-up of mixed malarial infections (iii) parasitaemia in the presence of a concomitant febrile illness which would interfere with the classification of treatment outcome; (iv) withdrawal of consent; (v) loss to follow-up, (vi) protocol violation, or (vii) death due to a non-malaria illness.

Laboratory procedures

Blood smears were stained with 10 % Giemsa for 10 min. Parasite densities were determined from thick blood smears by counting the number of asexual parasites per 200 WBCs (or per 500, if the count was less than 10 parasites/200 WBCs), assuming a WBC count of 8,000/μl. A smear was considered negative if no parasites were seen after review of 100 fields. Thin blood smears were used to detect non-falciparum infections [16].

Molecular genotyping techniques were used to distinguish recrudescence from new infection for all patients failing therapy after day 7. Filter paper blood samples collected on the day of enrolment, on day 1 and on the day of failure were analysed for polymorphisms in the genes for merozoite surface protein-1 (msp-1) and merozoite surface protein-2 (msp-2) using nested-PCR as previously described [17]. First, msp-2 genotyping patterns on the day of failure were compared with those at treatment initiation and on day 1, using Quantity One© software (BioRad laboratories, Inc., 1000 Alfred Nobel Drive, Hercules, CA 94547, United States). If all of the msp-2 alleles present on the day of failure were present at the time of treatment initiation or on day 1, genotyping was repeated using msp-1. An outcome was defined as recrudescence if all msp-1 and msp-2 alleles present at the time of failure were present at the time of treatment initiation or on day 1, and defined as a new infection otherwise.

Statistical analysis

Data were entered and verified using EpiInfo 6.04© software (Centers for Disease Control and Prevention, Atlanta, Georgia, United States), and analysed using MedCalc© software version 9.1.0.1 (MedCalc Software, Broekstraat 52, 9030 Mariakerke, Belgium). As the proportion of treatment failures was unknown in the sentinel sites, a minimum of 50 patients was included for each treatment group and each site, according to available human and financial resources and the WHO recommendations [15].

Efficacy data were assessed with a per-protocol analysis that included all patients who completed the study. An age-stratified analysis for patients less than five years of age and patients five years or older was planned. This study was not designed for the primary analysis to be stratified by site. Parasite densities were normalized using logarithmic transformation. Categorical variables were compared using χ2 or Fisher's exact test, and continuous variables were compared using an independent samples t test.

The primary efficacy outcomes were 14-day and 28-day clinical and parasitological failure risks both unadjusted and adjusted by genotyping. Risks of clinical and parasitological treatment failure after adjustment by genotyping were estimated using Kaplan-Meier survival analysis techniques in accordance with the new WHO protocol [15]. With survival analysis, data were censored for new infections. Secondary outcomes included fever clearance, parasite clearance, change in haemoglobin levels between Day 0 and the last day of follow-up, and the incidence of adverse events. Hypothesis testing was made using risk differences, exact 95% confidence intervals, and P values. A P value (two-tailed) of less than 0.05 was considered statistically significant.

Ethical approval

The study protocol was reviewed and approved by the Ethics Committee of the Ministry of Health of Madagascar (N°007/SANPF/2007). An informed written consent was provided by the parents/guardians of all patients before they were included in the study.

Results

Enrolment

In the eight sentinel sites, 8,363 patients were screened, with 1,873 patients positive for P. falciparum (22.4%). Of these patients, a total of 1,434 patients were enrolled in February-June 2006 and March-July 2007 (76.6%). A total of 320 patients were randomized to CQ, 385 to AQ, 383 to SP, and 346 to ASAQ. The main reasons for patients with P. falciparum not being included were non-consent, inability to attend follow-up or concurrent disease. The flow of patients through the trial is shown in Figure 2.
https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-7-55/MediaObjects/12936_2007_Article_530_Fig2_HTML.jpg
Figure 2

Flow of patients.

A total of 1,347 of 1,434 patients (93.9%) completed treatment and follow-up to day 28 (92.5% in the AQ group, 93.7% in the CQ group, 94.2% in the SP group, and 95.4% in the ASAQ group). Eighty eight patients were either lost to follow-up (n = 68) or excluded/withdrawn from the trial (n = 20). Of these patients, 18 withdrew consent, two were withdrawn due to adverse events. The baseline characteristics of patients across the treatment groups were similar at each site (Table 1).
Table 1

Baseline characteristics by treatment group*

 

Treatment Group

Characteristics

Chloroquine

Amodiaquine

Sulphadoxine-Pyrimethamine

Artesunate-Amodiaquine

No. of patients enrolled

320

385

383

346

Ejeda

51

51

50

50

Ihosy

62

62

61

63

Miandrivazo

67

69

69

68

Maevatanana

55

56

56

55

Tsiroanomandidy

43

48

48

0

Moramanga

42

39

40

40

Andapa

0

32

29

41

Farafangana

0

28

30

29

Age

    

median (range), y

5 (0.5 – 15)

5 (0.5 – 15)

5 (0.5 – 15)

5 (0.5 – 15)

Proportion of children ≤ 5 years

142 (45.4)

185 (48.7)

182 (47.8)

167 (48.7)

Weight, median (IQR), kg

15 (6 – 58)

15 (5 – 62)

14 (6 – 60)

13 (2.6 – 56)

Female

158 (49.5)

188 (48.8)

186 (48.6)

169 (49.0)

Temperature, mean (95% CI)

38.4 (38.3 – 38.5)

38.4 (38.3 – 38.5)

38.4 (38.3 – 38.5)

38.6 (38.5 – 38.7)

Trophozoite density, geometric mean (range), parasite/μl

15,302

(1,241 – 200,000)

133,068

(1,000 – 194,000)

13,880

(1,000 – 196,000)

14,346

(1669 – 192000)

Haemoglobin, median (IQR), g/dL

10.1 (5.3 – 15.8)

10.2 (5.8 – 15.6)

10.0 (5.6 – 14.7)

10.1 (5.1 – 14.5)

Anemic at enrollment±

107 (39.3)

114 (34.5)

127 (38.5)

103 (35.4)

Abbreviations: CI, confidence interval; IQR, interquartile range.

*Data are presented as No. (%) unless otherwise indicated.

†Anaemia defined as haemoglobin of less than 10 g/dL.

Primary outcome: treatment efficacy

The results of the treatment efficacy are presented by treatment group and day of follow-up in Table 2 and by age group and study site in Tables 3 and 4. Figure 3 showed the Kaplan-Meier curve of cumulative treatment failure over the 28-day follow-up period, adjusted by genotyping.
Table 2

Treatment outcomes stratified by treatment group and day of follow-up

Outcome Measure by Day

No./Total (%) of Patients [95% CI]

  

CQ

  

SP

  

AQ

  

ASAQ

  

Day 14

Clinical failure

ETF

14/309

(4.5)

[2.6–7.3]

4/368

(1.1)

[0.3–2.6]

2/372

(0.5)

[0.1–1.7]

0/335

(0)

 
 

LCF

29/309

(9.4)

[6.5–13.0]

2/368

(0.5)

[0.1–1.7]

0/372

(0)

 

0/335

(0)

 

Parasitological failure

LPF

56/309

(18.1)

[14.1–22.7]

3/368

(0.8)

[0.2–2.2]

0/372

(0)

 

0/335

(0)

 

Overall Treatment failure

 

99/309

(32.0)

[27.0–37.4]

9/368

(2.4)

[1.2–4.4]

2/372

(0.5)

[0.1–1.7]

0/335

(0)

 

Day 28 Unadjusted by genotyping

Clinical failure

ETF

14/300

(4.7)

[2.7–7.5]

4/361

(1.1)

[0.4–2.7]

2/356

(0.6)

[0.1–1.8]

0/330

(0)

 
 

LCF

45/300

(15.0)

[11.3–19.4]

4/361

(1.1)

[0.4–2.7]

3/356

(0.8)

[0.2–2.3]

4/330

(1.2)

[0.4–2.9]

Parasitological failure

LPF

104/300

(34.7)

[29.4–40.2]

8/361

(2.2)

[1.0–4.2]

6/356

(1.7)

[0.7–3.5]

8/330

(2.4)

[1.1–4.6]

Overall Treatment failure

 

163/300

(54.4)

[48.7–59.9]

16/361

(4.4)

[2.6–6.9]

11/356

(3.1)

[1.6–5.3]

12/330

(3.6)

[2.0–6.1]

Day 28 Adjusted by genotyping

Clinical failure

ETF

14/300

(4.7)

[2.7–7.5]

4/361

(1.1)

[0.4–2.7]

2/356

(0.6)

[0.1–1.8]

0/330

0

[0.4–2.7]

 

LCF

34/300

(11.3)

[8.1–15.3]

3/361

(0.8)

[0.2–2.2]

1/356

(0.3)

[0–1.4]

2/330

(0.6)

[0.1–2.0]

Parasitological failure

LPF

84/300

(28.0)

[23.1–33.3]

5/361

(1.4)

[0.5–3.0]

3/356

(0.8)

[0.2–2.3]

4/330

(1.2)

[0.4–2.9]

Overall Treatment failure

 

132/300

(44.0)

[38.5–49.7]

12/361

(3.3)

[1.8–5.6]

6/356

(1.7)

[0.7–3.5]

6/330

(1.8)

[0.7–3.7]

CI: Confidence Interval; ETF: Early Treatment Failure; LCF: Late Clinical Failure; LPF: Late Parasitological Failure; CQ: Chloroquine; AQ: Amodiaquine; ASAQ: Artesunate + Amodiaquine; SP: Sulphadoxine-Pyrimethamine

Table 3

Treatment failures by Day 28 (adjusted by genotyping), stratified by age group

Treatment groups

No. of treatment failure/Total of Patients (%) [95% CI]

 

Age groups

Significance level P*

 

0.5 – 4 years

≥ 5 years

 

CQ

69/131 (52.6) [44.1–61.1]

63/169 (37.3) [30.2–44.7]

0.01

SP

8/171 (4.7) [2.2–8.7]

3/190 (1.6) [0.4–4.2]

0.57

AQ

4/174 (2.3) [0.7–5.5]

2/182 (1.1) [0.2–3.6]

0.64

ASAQ

4/161 (2.8) [0.8–5.9]

2/169 (1.2) [0.2–3.9]

0.51

CQ: Chloroquine; AQ: Amodiaquine; ASAQ: Artesunate + Amodiaquine; SP: Sulphadoxine-Pyrimethamine.

CI: Confidence Interval

Chi-square test for the comparison of two proportions

Table 4

CQ Treatment failures by Day 28 (adjusted by genotyping), stratified by age group and study site

CQ

No. of treatment failure/Total of Patients (%) [95% CI]

  

0.5 – 4 years

≥ 5 years

All age

Tropical

Maevatanana

19/28 (67.9) [49.1–83.0]

9/24 (37.5) [20.1–57.8]

28/52 (53.8) [40.3–67.0]

 

Miandrivazo

10/16 (62.5) [37.6–83.2]

16/50 (32.0) [20.2–45.8]

26/66 (39.4) [28.2–51.5]

Highlands

Moramanga

10/26 (38.5) [21.5–57.9]

3/10 (30.0) [8.3–62.0]

13/36 (36.1) [21.8–52.6]

 

Tsiroanomandidy

13/21 (61.9) [40.2–80.5]

9/17 (52.9) [29.7–75.2]

22/38 (57.9) [41.9–72.7]

Sub-desert

Ejeda

14/20 (70.0) [47.7–86.8]

18/30 (60.0) [41.9–76.2]

32/50 (64.0) [50.1–76.4]

 

Ihosy

3/20 (15.0) [4.0–35.6]

8/38 (21.1) [10.3–36.1]

11/58 (19.0) [10.4–30.6]

CQ: Chloroquine. CI: Confidence Interval. Chi-square test for the comparison of two proportions

https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-7-55/MediaObjects/12936_2007_Article_530_Fig3_HTML.jpg
Figure 3

Kaplan-Meier curve of cumulative treatment failure over the 28-day follow-up period, adjusted by genotyping.

All treatment regimens, except for the CQ treatment group, resulted in clinical cure rates above 97.6% by day-14 and 96.7% by day-28 (adjusted by genotyping). Considering all sites, the OTF of the CQ group was significantly higher than in the other treatment group as well as day 14 or day 28 unadjusted or adjusted by genotyping (P < 0.0001).

In the CQ group, ETF was uncommon with only 10.6% of the OTF (i.e., 14/132). Most of the treatment failures adjusted by genotyping were occurred in the second/third week of follow-up mainly as LPF (63.6%). Among the eight sites, the OTF adjusted by genotyping of CQ was significantly different ranging from 19% in Ihosy to 64% in Ejeda (P < 0.0001). The risk of treatment failure adjusted by genotyping in children less than five years old was almost twice as frequent than in older patients (52.7% vs. 37.3%, adjusted odds ratio [OR], 1.8; 95% confidence interval [CI], 1.2–3.0; P = 0.004). The risk of treatment failure by day-14 was significantly lower than by day-28 adjusted by genotyping (32.0% vs. 44.0%, risk difference 12.0%, 95% CI: 4.3%–19.5%, P = 0.003).

In the SP group, treatment failures were rare with an OTF adjusted by genotyping of 3.3%, but ETF was accounting for more than one third of the treatment failures: Two patients from Ejeda developed danger signs despite decreasing parasite density, one patient from Tsiroanomandidy presented at day 3, a parasite density > 25% of count on day 0 and the last patient from Maevatanana, a parasite density with an axillary temperature ≥ 37.5°C. The distribution of the treatment failure adjusted by genotyping was not significantly different among the sites (P = 0.08), especially because of the small number of the patients included per site and the small number of treatment failure.

In the AQ and ASAQ groups, treatment efficacies were globally very high throughout Madagascar. Treatment failures adjusted by genotyping were not significantly different among the sentinel sites (P = 0.24 for AQ and P = 0.12 for ASAQ).

Secondary outcomes

Parasite clearance was more rapid with ASAQ than CQ, AQ or SP until day 3 (P < 0.0001). Fever clearance was delayed with CQ and SP, the proportion of febrile patients being significantly lower with ASAQ and AQ until day-2. The details are shown on Figure 4. On day-28, the extent of haematological recovery (median of individual increases in Hb) did not differ significantly between the four groups (CQ, 0.8 g/dl, -4.1 to 4.9; SP, 1.0 g/dl, -4.8 to 6.4; AQ, 1.0 g/dl, -4.4 to 8.3; ASAQ, 0.9 g/dl, -6.0 to 6.4).
https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-7-55/MediaObjects/12936_2007_Article_530_Fig4_HTML.jpg
Figure 4

Proportions of patients with asexual parasites and fever (T° ≥ 37.5°C) on days of follow-up by treatment group.

No severe side-effects attributable to the study medication were observed during the follow-up period. Minor side effects as vomiting were reported between day 1 and day 3 in seventeen patients (1.26%): 8 in the AQ group, 4 in the CQ and the SP groups and 1 in the ASAQ group.

Discussion

As effective case management remains the cornerstone of malaria elimination [18], the monitoring of antimalarial drugs resistance is essential to ensure a continued coverage of effective antimalarial treatment. With the support of resources from the Global Fund, the main objective of the new RER was to set up an expanded programme to monitor antimalarial drug resistance in Madagascar, based on sentinel sites. The selected sentinel sites were chosen at peripheral level (within public or private health facilities) to be representative of the four epidemiological strata in which the country could divided [19]. Because of the size of the country and the availability of financial and human resources, two sites were selected by epidemiological stratum for establishing a surveillance system for in vivo drug efficacy. Seven additional sites were secondly incorporated in the RER for monitoring in vitro drug resistance (in vitro drug sensitivity assay and molecular markers) to provide complementary data and warning signals of the possible emergence of resistance or trends of declining drug efficacy.

The objective of the new RER was firstly to establish up-dated baseline data on the efficacy of the antimalarial drugs recommended by the MalMoH in its new Madagascar national policy. The methodology used was based on the WHO 2003 protocol [15], with some modifications (compromise between the high transmission and the low to moderate transmission protocols): (i) children enrolled in the study were aged between six months and 15 years and (ii) of P. falciparum parasitaemia on inclusion was between 1,000 and 200,000/μl. The protocol included randomized, 28-day follow-up with genotyping to discriminate recrudescence from new infections, and assessment of safety and tolerability. Despite the complexity of conducting a multi-site study in Madagascar, an excellent completion rates was achieved (> 93%) and high-quality data were collected.

The four main antimalarial drugs used and recommended by the NMCP were evaluated in five sites. In Tsiroanomandidy, ASAQ was not evaluated because this drug was already assessed in another clinical trial [20] and in Andapa and Farafangana, CQ was not evaluated for ethical reasons because of the too high frequency of treatment failure found in the previous clinical trial in 2006.

Two methodological points could be underline by the results of the study: (1) the necessity to extend the follow-up to a minimum of 28 days (even more for drugs with a prolonged duration of action) to avoid the underestimation of the risk of treatment failure [21], i.e. for CQ, most of the treatment failures occurred between 15 and 28 days after treatment, a 14 day follow-up will underestimated the OTF of 12% (32.0% for 14-days instead of 44.0% for 28-days) and (2) the necessity to enrol sufficient number of patients to allow the stratification of the result based on age (< 5 years and ≥ 5 years), i.e. the risk of CQ treatment failure in children < 5 years was 2-fold more frequent than in older patients (five to 15 years old), especially in moderate to high transmission areas (Maevatanana and Miandrivazo).

This multi-site study represents the first extent in vivo drug efficacy study performed in Madagascar since 1983 [2224]. The CQ efficacy was signifantly different between the eight sites and ranged from moderate (Ihosy, 81%), intermediate (Miandrivazo, 60.6% and Moramanga, 63.9%) to low (Maevatanana, 46.2%; Tsiroanomandidy, 42.1% and Ejeda, 36%), showing the important of the multi-site studies. However, the results about the CQ efficacy were comparable to those found previously in the last in vivo trial carried out in Sainte Marie on the east coast in 2004 (36.9% of clinical failure within two weeks of CQ treatment). Currently, CQ remains the drug most widely available (distribution and financial criteria) and is the first drug used in most of areas in Madagascar at community level, for treating acute fever before or without laboratory diagnosis. According to Hastings et al [6], even with 50% of efficacy, CQ might still be perceived as very effective at community level, especially because of its antipyretic activity that alleviate symptoms and because that most of the recrudescence's which occur two to three week later after the treatment are not perceived as a failure. Based on these findings, the MalMoH must improve the HMM, as soon as possible, by withdrawing pre-packaged CQ and gradually replacing it with pre-packaged ASAQ.

The results concerning the SP efficacy were more informative, contrasting with the good effectiveness reported in previous studies in 2003–2004 [13, 14]. The more worrying was to finding even if the treatment failures were rare that the ETFs were accounting for more than one third of the SP treatment failure. There is no doubt that with the increased drug use of SP in the next few years in Madagascar as IPT for pregnant women, the monitoring of its drug resistance especially with the useful and reliable molecular makers such as Pf-dhfr and Pf-dhps [25] will be make it a priority for the RER.

This study also confirmed that ASAQ, the first-line treatment of the uncomplicated malaria recommended in Madagascar was very effective, particularly because of the excellent effectiveness of AQ, the partner drug associated with artesunate. Although it was not feasible to monitor for the potentially serious adverse effects associated with amodiaquine such as neutropenia or hepatotoxicity (the sample size was too small to exclude any clinically toxicity with a low frequency such as < 1:100), ASAQ was well tolerated in the study population. This combination produced also faster parasite and fever clearances than the other antimalarial treatments. These findings constitute important baseline data on the efficacy of this combination, a key tool within the framework of the elimination of the malaria [18].

The results from this multi-site study show that antimalarial drug resistance remains low in Madagascar, except for CQ, compared to the bordering countries in the Indian Ocean region such as the Comoros Archipelago [26, 27]. The next step must be to complete these data by providing the frequency of mutant parasites correlated with the CQ-resistance (Pfcrt) or SP-resistance (Pf-dhfr or Pf-dhps) or the in vitro response of parasites for drug for which no validate molecular marker are available such as amodiaquine, artemisinin derivatives or amino alcohols (quinine, lumefantrine). These complementary indicators should allow the early detection of the spread of P. falciparum drug resistance, especially those introduced from the Comoros Islands [28]. Indeed, the extension of the RER at regional level is also crucial to enable the countries of the region to share national information on antimalarial drug efficacy and to help to minimize delays in implementing national antimalarial drug policy change.

Declarations

Acknowledgements

The authors thank all the patients and their parents or guardians for participating in the study. We would also like to thank the clinical study teams: in Ejeda (Dr Diamondra Raveloariseheno, Mme Brunette Razanadrazanina, M. Leo Paul Andriamahazo), in Ihosy (Dr Vony Rabekotonirina, Mlle Mino Andrianjafy, M. Jean Bruno Velo Jasmin), in Farafangana (Dr Didier Ignace Ralaizandriny, Dr Jean Yvon Niel Mahadimby, Mme Noeline Rasoarilalao) In Miandriavazo (Dr Didier Ignace Ralaizandriny, M. Mamisoa Judicaël Rakotonaivo, M. Jacquinot Mangolo), in Moramanga (Dr Arthur Randriamanantena, Mme Noeline Rasoarilalao, M. Rianala Nohary Harimanana Andrianina, M. Andriarajonantenaina Zakaherizo Ramiandrasoa), in Tsiroanomandidy (Dr Arsène Ratsimbasoa, Dr Laurence Randrianasolo, M. Rogelin Raherinjafy), in Maevatanana (Dr Hanitra Ranaivoson, M. Jacquet Randriamboavonjy, M. Patrick Rabemanantsoa) and in Andapa (Dr Andriarajonantenaina Zakaherizo Ramiandrasoa, M. Perlinot Herindrainy, Mme Brunette Razanadrazanina). We would also like to thank all the health workers at the health centres of Ejeda (Dr Andriamandiby Petterson), Ihosy (Sœur Joany Ravaoary), Farafangana (Dr Ralalaharisoa Laurence), Miandrivazo (Dr Aurelien Ravelojoeliandriambeloaritafika), Moramanga (Dr Marie Claudine Ranaivoarisoa), Tsiroanomandidy (Dr Monique Rajerison and Sœur Emmanuella Randriatavy), Maevatanana (Dr Tsimahohy Zanah Rahasivelo) and Andapa (Dr Hector) and their respective district administrations, for allowing us to conduct these studies and working alongside the study teams for lengthy periods.

Financial support: This work was supported by the Global Fund to Fight AIDS, Tuberculosis and Malaria round 3 grant MDG-304-G05-M and the IAEA project, RAF-6-025-9002.

Authors’ Affiliations

(1)
Malaria Unit Research, Institut Pasteur de Madagascar
(2)
Epidemiology Unit, Institut Pasteur de Madagascar
(3)
Immunology Unit, Institut Pasteur de Madagascar
(4)
WHO Office of Madagascar and La Réunion
(5)
National Malaria Control Programme, Ministry of Health

References

  1. Snow RW, Guerra CA, Noor AM, Myint HY, Hay SI: The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature. 2005, 434 (7030): 214-217. 10.1038/nature03342.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Attaran A, Barnes KI, Curtis C, d'Alessandro U, Fanello CI, Galinski MR, Kokwaro G, Looareesuwan S, Makanga M, Mutabingwa TK, Talisuna A, Trape JF, Watkins WM: WHO, the Global Fund, and medical malpractice in malaria treatment. Lancet. 2004, 363 (9404): 237-240. 10.1016/S0140-6736(03)15330-5.View ArticlePubMedGoogle Scholar
  3. White NJ: Antimalarial drug resistance. J Clin Invest. 2004, 113 (8): 1084-1092.PubMed CentralView ArticlePubMedGoogle Scholar
  4. Korenromp EL, Williams BG, Gouws E, Dye C, Snow RW: Measurement of trends in childhood malaria mortality in Africa: an assessment of progress toward targets based on verbal autopsy. Lancet Infect Dis. 2003, 3 (6): 349-358. 10.1016/S1473-3099(03)00657-1.View ArticlePubMedGoogle Scholar
  5. Trape JF: The public health impact of chloroquine resistance in Africa. Am J Trop Med Hyg. 2001, 64 (1-2 Suppl): 12-17.PubMedGoogle Scholar
  6. Hastings IM, Korenromp EL, Bloland PB: The anatomy of a malaria disaster: drug policy choice and mortality in African children. Lancet Infect Dis. 2007, 7 (11): 739-748. 10.1016/S1473-3099(07)70214-1.View ArticlePubMedGoogle Scholar
  7. Ministère de la Santé et du Planning Familial: Politique National de Lutte contre le Paludisme. 2005, p 44-Google Scholar
  8. Ratsimbasoa A, Randrianarivelojosia M, Millet P, Soares JL, Rabarijaona L, Rakotoson B, Malvy D, Menard D: Use of pre-packaged chloroquine for the home management of presumed malaria in Malagasy children. Malar J. 2006, 5: 79-10.1186/1475-2875-5-79.PubMed CentralView ArticleGoogle Scholar
  9. Ariey F, Randrianarivelojosia M, Duchemin JB, Rakotondramarina D, Ouledi A, Robert V, Jambou R, Jahevitra M, Andrianantenaina H, Raharimalala L, Mauclere P: Mapping of a Plasmodium falciparum pfcrt K76T mutation: a useful strategy for controlling chloroquine resistance in Madagascar. J Infect Dis. 2002, 185 (5): 710-712. 10.1086/339000.View ArticlePubMedGoogle Scholar
  10. Randrianarivelojosia M, Rakotonjanabelo LA, Mauclere P, Ratsimbasoa A, Raharimalala LA, Ariey F: National Network study to perpetuate the surveillance of Plasmodium falciparum sensitivity to antimalarials in Madagascar. Arch Inst Pasteur Madagascar. 2002, 68 (1-2): 73-78.PubMedGoogle Scholar
  11. Raharimalala LA, Rabarijaona L, Randrianarivelojosia M, Razanavololo F, Rason MA, Andrianantenaina HB, Andrianaivolambo L, Rakotoniaina JC, Leong Pock Tsi JM, Rajaonarivelo E, Leon T, Duchemin JB, Ariey F: Malaria study in the cyclone risk zone: entomological , diagnostic and therapeutic approach in the southeastern region of Madagascar. Arch Inst Pasteur Madagascar. 2002, 68 (1-2): 79-85.PubMedGoogle Scholar
  12. Randriamanantena A, Randrianasolo L, Vonimpaisomihanta JA, Tafangy PB, Bayant Z, Randrianarivelojosia M: Therapeutic efficacy of amodiaquine against uncomplicated malaria in Madagascar. Sante. 2007, 17 (2): 75-78.PubMedGoogle Scholar
  13. Randrianasolo L, Randriamanantena A, Ranarivelo L, Ratsimbasoa A, Domarle O, Randrianarivelojosia M: Monitoring susceptibility to sulfadoxine-pyrimethamine among cases of uncomplicated, Plasmodium falciparum malaria in Saharevo, Madagascar. Ann Trop Med Parasitol. 2004, 98 (6): 551-554. 10.1179/000349804225021398.View ArticlePubMedGoogle Scholar
  14. Randrianasolo L, Randriamanantena A, Ratsimbasoa A, Rakotoson JD, Randriambelosoa J, Raveloson A, Rakotondrajaona N, Tuseo L, Randrianarivelojosia M: Assessment of sulfadoxine-pyrimethamine (Fansidar, Paludar) efficacy in patients with uncomplicated malaria in Madagascar: preliminary study to propose a simplified study protocol. Arch Inst Pasteur Madagascar. 2003, 69 (1-2): 52-56.PubMedGoogle Scholar
  15. World Health Organization: Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falciparum malaria. Geneva: WHO. 2003Google Scholar
  16. World Health Organization: Management of Uncomplicated Malaria and the Use of Antimalarial Drugs for the Protection of Travellers. Report of an Informal Consultation (WHO/MAL/96). Geneva, Switzerland, WHO. 1996Google Scholar
  17. Cattamanchi A, Kyabayinze D, Hubbard A, Rosenthal P, Dorsey G: Distinguishing recrudescence from reinfection in a longitudinal antimalarial drug-efficacy study: Comparison of results based on genotyping of msp-1, msp-2, and glurp. Am J Trop Med Hyg. 2003, 68: 133-139.PubMedGoogle Scholar
  18. Ministère de la Santé du Planning Familial et de la Protection Sociale : Plan Stratégique de Lutte Contre Le Paludisme. Du contrôle vers l’élimination du paludisme à Madagascar : Extension et consolidation des zones indemnes du paludisme (2007-2012). 2007, p 54-Google Scholar
  19. Mouchet J, Blanchy S: Particularities and stratification of malaria in Madagascar. Sante. 1995, 5 (6): 386-388.PubMedGoogle Scholar
  20. Randrianarivelojosia M, Randrianasolo L, Ratsimbasoa A, Albert Same Ekobo S, Ama Moor V, Kuété T, Brasseur P, Agnamey P, Ndiaye JL, Faye B, Gaye OS, Traoré A, Dicko Y: A multinational, randomised comparative study to assess the tolerability and efficacy of Coarsucam® (fixed dose combination of artesunate plus amodiaquine) once or twice daily versus Coartem® (fixed dose combination of artemether plus lumefantrine) for uncomplicated Plasmodium falciparum malaria. : Amsterdam, The Netherlands.2007, ,Google Scholar
  21. Stepniewska K, Taylor WR, Mayxay M, Price R, Smithuis F, Guthmann JP, Barnes K, Myint HY, Adjuik M, Olliaro P, Pukrittayakamee S, Looareesuwan S, Hien TT, Farrar J, Nosten F, Day NP, White NJ: In vivo assessment of drug efficacy against Plasmodium falciparum malaria: duration of follow-up. Antimicrob Agents Chemother. 2004, 48 (11): 4271-4280. 10.1128/AAC.48.11.4271-4280.2004.PubMed CentralView ArticlePubMedGoogle Scholar
  22. Deloron P, Ramanamirija JA, Le Bras J, Coulanges P: 4-Aminoquinoline-sensitivity of Plasmodium falciparum in Madagascar. III. Studies in three regions of the interior. Arch Inst Pasteur Madagascar. 1984, 51 (1): 57-68.PubMedGoogle Scholar
  23. Deloron P, Ramanamirija JA, Le Bras J, Verdier P, Coulanges P: 4-Aminoquinoline-sensitivity of Plasmodium falciparum in Madagascar. I. Study in two regions of the west coast. Arch Inst Pasteur Madagascar. 1984, 51 (1): 29-42.Google Scholar
  24. Deloron P, Ramanamirija JA, Verdier F, Coulanges P: 4-Aminoquinoline-sensitivity of Plasmodium falciparum in Madagascar. II. Study in two regions of the east coast. Arch Inst Pasteur Madagascar. 1984, 51 (1): 43-55.PubMedGoogle Scholar
  25. Kublin JG, Dzinjalamala FK, Kamwendo DD, Malkin EM, Cortese JF, Martino LM, Mukadam RA, Rogerson SJ, Lescano AG, Molyneux ME, Winstanley PA, Chimpeni P, Taylor TE, Plowe CV: Molecular markers for failure of sulfadoxine-pyrimethamine and chlorproguanil-dapsone treatment of Plasmodium falciparum malaria. J Infect Dis. 2002, 185 (3): 380-388. 10.1086/338566.View ArticleGoogle Scholar
  26. Parola P, Pradines B, Simon F, Carlotti MP, Minodier P, Ranjeva MP, Badiaga S, Bertaux L, Delmont J, Morillon M, Silai R, Brouqui P, Parzy D: Antimalarial drug susceptibility and point mutations associated with drug resistance in 248 Plasmodium falciparum isolates imported from Comoros to Marseille, France in 2004 2006. Am J Trop Med Hyg. 2007, 77 (3): 431-437.PubMedGoogle Scholar
  27. Silai R, Moussa M, Abdalli Mari M, Astafieva-Djaza M, Hafidhou M, Oumadi A, Randrianarivelojosia M, Said Ankili A, Said Ahmed B, Gayibor AH, Ariey F, Ringwald P: Surveillance of falciparum malaria susceptibility to antimalarial drugs and policy change in the Comoros. Bull Soc Pathol Exot. 2007, 100 (1): 6-9. 10.3185/pathexo2898.View ArticlePubMedGoogle Scholar
  28. Menard D, Randrianarivo-Solofoniaina AE, Said Ahmed B, Jahevitra M, Andriantsoanirina V, Ranjalahy Rasolofomanana J, Rabarijaona LP: Drug-Resistant Malaria Parasites Introduced into Madagascar from Comoros Islands. Emerg Infect Dis. 2007, 13 (11): 1759-62.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Ménard et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Advertisement