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Objective: The aim of this study was to evaluate the efficacy and safety of three anti-malarial combinations--artemether-lumefantrine (A-L), amodiaquine-sulfadoxine-pyrimethamine (AQ-SP), and artesunate-amodiaquine (AQ-AS)--in the treatment of uncomplicated malaria in children younger than 5 years in Bangui, Central African Republic., Methodology: This study included 186 children aged 6-59 months with uncomplicated falciparum malaria who were treated at the Bédé Combattant Hospital from July through October 2010: 63 randomized to receive A-L, 63 AQ-SP, and 60 AQ-AS. Clinical outcome was classified according to WHO criteria as early treatment failure (ETF), late clinical failure (LCF), late parasitological failure (LPF), or adequate clinical and parasitological response (ACPR). The occurrence of mutations in the pfcrt, pfmdr-1, dhfr and dhps genes was studied by PCR-RFLP., Results: After PCR correction, ACPR at D28 was 100% for A-L, 96.55% for AQ-SP, and 100% for AQ-AS, with no significant difference between the three combinations (p = 0.36). The 2 cases of treatment failure for AQ-SP were associated with mutations at the following resistance markers: Pfcrt 76T, PfmdrI 86Y, Dhfr 108N, and Dhps A437. There was no significant difference in the reduction of anemia, fever (p = 0.87), or parasitemia (p = 0.63) between the three combinations., Conclusion: This study demonstrates that artemisinin-based combinations are still effective and tolerated in the treatment of uncomplicated malaria in children younger than 5 years in Bangui. Treatment failures were due to new infections and mutations in resistance markers.

Molecular markers or gene mutations that are associated with resistance have been the recent focus for an attempt to promptly determine the establishment of resistance to known and currently used antimalaria drugs. For control managers, the effective management of malaria would involve strategies of interruption of the malaria transmission and/or improved therapeutic management of malaria. To place molecular markers within the context of control programs requires that one recognises the two data pools necessary for effective evidence-based policy change. These include data on socio-economic determinants on the one hand and biomedical data on the other. The markers for clinical efficacy of drugs have principally been genes either associated with transport or metabolism of the drug. In malaria those that have been the most characterised are the Pfcrt, Pfmdrl for the quinolines and the dhfr and dhps genes for the anti-folates. The PfATPase has been suggested to be involved in the recently developed artermisinine based combination therapies (ACT). To consider changes in drug policy, a control manager needs to address: efficacy, transmissibility, disease dynamics, safety, epidemics, tolerability and compliance. Except for safety and tolerability/compliance, molecular markers do provide useful information. However these markers still have to be validated alongside in vitro studies and in many different ecological settings and shown to be stable over time or associated with changing drug efficacy situations. Besides the evidence provided with these tools, the government will be required to ensure a mass education of the population and care providers, and fight against illicit street vendors. The governments will therefore still wary on the resources necessary to occasion an effective switch in drug policy especially at the district level and in the rural areas where meaningful, cost-effective programs are most needed.