Literature DB >> 30464545

Malaria parasite clearance from patients following artemisinin-based combination therapy in Côte d'Ivoire.

Offianan Andre Toure1, Tiacoh N'Guessan Landry1, Serge Brice Assi2,3, Antoinette Amany Kone1, Eric Adji Gbessi1, Berenger Aristide Ako1, Baba Coulibaly1, Bouakary Kone4, Oumar Ouattara4, Sylvain Beourou1, Alphonsine Koffi2, Franck Remoue2,5, Christophe Rogier6.   

Abstract

INTRODUCTION: Parasite clearance is useful to detect artemisinin resistance. The aim of this study was to investigate parasite clearance in patients treated with artesunate + amodiaquine (AS + AQ) and artemether + lumefantrine (AL): the two artemisinin-based combination therapies (ACTs) recommended in the first-line treatment of uncomplicated malaria in Côte d'Ivoire.
METHODS: This study was conducted in Bouaké, Côte d'Ivoire, from April to June 2016. Patients aged at least 6 months with uncomplicated malaria and treated with AS + AQ or AL were hospitalized for 3 days, and follow-up assessments were performed on days 3, 7, 14, 21, 28, 35, and 42. Blood smears were collected at the time of screening, pre-dose, and 6-hour intervals following the first dose of administration until two consecutive negative smears were recorded, thereafter at day 3 and follow-up visits. Parasite clearance was determined using the Worldwide Antimalarial Resistance Network's parasite clearance estimator. The primary end points were parasite clearance rate and time.
RESULTS: A total of 120 patients (57 in the AS + AQ group and 63 in the AL group) were randomized among 298 patients screened. The median parasite clearance time was 30 hours (IQR, 24-36 hours), for each ACT. The median parasite clearance rate had a slope half-life of 2.36 hours (IQR, 1.85-2.88 hours) and 2.23 hours (IQR, 1.74-2.63 hours) for AS + AQ and AL, respectively. The polymerase chain reaction-corrected adequate clinical and parasitological response was 100% and 98.07% at day 42 for AS + AQ and AL, respectively.
CONCLUSION: Patients treated with AS + AQ and AL had cleared parasites rapidly. ACTs are still efficacious in Bouaké, Côte d'Ivoire, but continued efficacy monitoring of ACTs is needed.

Entities:  

Keywords:  ACTs; Côte d’Ivoire; Plasmodium falciparum; parasite clearance

Year:  2018        PMID: 30464545      PMCID: PMC6208791          DOI: 10.2147/IDR.S167518

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Malaria remains a serious public health problem in sub-Saharan Africa despite the reduction in morbidity and mortality observed in recent years.1 The advances in the control of malaria are partly related to the use of artemisinin-based combination therapies (ACTs) in almost all endemic countries in combination with other strategies. However, the emergence and spread of artemisinin-resistant malaria parasite populations in Southeast Asian countries and the possibility of extension to other endemic areas are serious threats.2–4 The possibility that artemisinin resistance might spread or emerge independently elsewhere necessitates careful surveillance.5 The WHO recommends that the efficacy of the first- and second-line antimalarial drugs should be regularly assessed for early detection and prevention of the spread of resistant parasite populations.6 Several reliable methods exist currently to search for possible emergence of resistance to artemisinin derivatives. Surveillance of artemisinin resistance to date has relied on in vivo studies to measure early clearance of peripheral parasitaemia by microscopy and k13 propeller gene mutations.7 The phenotype of artemisinin resistance is characterized by a significant delay in parasite clearance following the initiation of therapy.8–10 Thus, many studies on the k13 propeller marker gene for resistance to artemisinin conducted in sub-Saharan Africa have shown no evidence of resistance mutation which is associated with artemisinin resistance in Southeast Asia.11–14 Therefore, parasite clearance rates are important measures of antimalarial drug efficacy and particularly important in the assessment of artemisinin resistance. The parasite clearance estimator (PCE) developed by Worldwide Antimalarial Resistance Network (WWARN) seemed to be an accurate and reliable method for the early detection of artemisinin resistance.15–17 This method is uses by sampling multiple times (6, 8, or 12 hours) a day at measured time points to estimate the rate of parasite clearance. A number of clinical trials have already been conducted in different parts of Côte d’Ivoire on artesunate + amodiaquine (AS + AQ) and artemether + lumefantrine (AL) efficacy and safety from 2005 to 2016 in Malaria Control Program sentinel sites.18–20 Results from these studies have provided evidence that the two ACTs remain efficacious in the treatment of Plasmodium falciparum uncomplicated malaria. Polymerase chain reaction (PCR)-corrected 28-day adequate clinical and parasitological response (ACPR) for each ACT was more than 95% with and no early clinical failures. However, in Bouake, which is one of the newest sentinel sites of the National Malaria Control Program (NMCP) of Côte d’Ivoire having high malaria transmission, no efficacy data of AS + AQ and AL are available since the use of these ACTs in this region. Therefore, this study was designed to assess parasite clearance and antimalarial drug efficacy in patients treated with AS + AQ and AL in Bouake, Center of Côte d’Ivoire.

Patients and methods

Study design and site

The study was performed during a clinical trial conducted from April to June 2016 in Bouake to assess parasite clearance rate and time using WWARN’s PCE.21 The study site is located in the center of Côte d’Ivoire, where malaria transmission is intense with recrudescence during the rainy season. The main vectors for malaria transmission in this area are Anopheles gambiae and Anopheles funestus. P. falciparum is the predominant malaria parasite, accounting for more than 95% of malaria infections.18 Bouake region was the epicenter of the country’s military crisis in 2002. During this period, the NMCP’s guidelines for malaria treatment were not followed by physicians. Bouake is a cosmopolitan city with intense migratory movements of the populations. According to the latest population census in 2014, Bouake’s population has reached more than half a million. The city of Bouake is the nation’s second largest community and commercial and transportation hub of Cote d’Ivoire.

Study population

All patients aged at least 6 months with uncomplicated falciparum malaria were screened. The WHO’s standard efficacy testing protocol was used.6 Briefly, patients with monospecific P. falciparum infestation confirmed by microscopy with parasite density between 2,000 and 200,000 asexual parasites/μL of blood, axillary temperature of ≥37.5°C, or history of fever over the past 24 hours, body weight ≥5 kg, and who were able to take oral medications and follow study procedures, were included after informed consent was obtained from participant, parents, or legal guardian. Patients with severe malaria symptoms, symptoms of severe malnutrition, or chronic diseases or with mixed infection were excluded.

Sample size

The sample size was calculated using the WHO guidelines on the assessment of antimalarial drugs.6 Population size was determined according to the following criteria: the proportion of probable clinical failures with the antimalarial combinations studied should not be higher than 10%, for a level of confidence of 95% and a precision of 10%, taking into account patients who were excluded or lost to follow up. Using these criteria, a minimum of 50 patients was required in each treatment arm.

Clinical procedures

All included patients were hospitalized for 3 days (day 0, 1, 2), and follow-up assessments were performed on day 3, 7, 14, 21, 28, 35, and 42. Physical examination, vital signs, body temperature, and clinical assessment were performed at screening and at all follow-up visits. Body temperature was recorded at 6-hour intervals following the first dose of study medication until temperature normalized and remained normal for 24 hours and at every visit thereafter.

Drug administration

Patients were randomly assigned to receive either AS + AQ or AL. Both treatments were 3-day oral regimens dosed by weight according to the manufacturer’s instructions: AS + AQ 5 to <9 kg: one tablet/day of AS 25 mg/AQ 67.5 mg; 9 to <18 kg: one tablet/day of AS 50 mg/AQ 135 mg; 18 to <36 kg: one tablet/day of AS 100 mg/AQ 270 mg; ≥36 kg: two tablets/day of AS 100 mg/AQ 270 mg. AS + AQ were administered once daily in children and twice daily in adult participants. AL tablet strength was 20 mg artemether/120 mg lumefantrine: 5 to <15 kg: one tablet/dose; 15 to <25 kg: two tablets/dose; 25 to <35 kg: three tablets/dose; ≥35 kg four tablets/dose. AL was administrated twice a day. If vomiting occurred within 30 minutes following the first drug dose, a redosing was performed. If the patient vomited within 30 minutes of repeated dosing, he or she was withdrawn from the trial and given rescue medication according to the NMCP’s malaria treatment guidelines.

Laboratory procedures

Parasitological assessments

Thick/thin blood smears were collected at the time of screening, pre-dose, and at day 0- and 6-hour intervals following the first dose of administration until two consecutive negative smears were recorded, thereafter at day 3 and follow-up visits. Blood smears were prepared using Giemsa staining (10%). Thick film was examined with a binocular microscope with an oil immersion objective lens to quantify the parasitaemia. Parasitaemia was measured by counting the number of asexual parasites and leucocytes in 200 high power fields based on a putative count of 8,000 leucocytes/mL of blood. Two qualified independent microscopists read all Giemsa-stained slides. Discordant readings were reexamined by a third qualified independent microscopist. Discordance was defined as differences between the first and second microscopist regarding parasite density >25%, species diagnosis or any difference that affected recruitment or study outcome. Final parasite density was the average of the two most concordant counts.

PCE

The PCE established by WWARN was used to determine parasite clearance rate, parasite clearance time (PCT), slope half-life, and the time needed for parasitemia to fall by 50%, 90%, 95%, and 99% (PC50, PC90, PC95, and PC99, respectively). WWARN’s PCE is an uniform, reliable, and accurate method to estimate malaria parasite clearance based on the linear portion of the slope of the log-parasitaemia vs time relationship.15,21 This standardized approach provides information that enables the detection of early changes in P. falciparum sensitivity to artemisinins and support timely responses in treatment guidelines when needed.

Parasite genotyping

To distinguish between recrudescence and reinfection, blood spots on Whatman®3 MM filter paper (Whatman International Ltd, Maidstone, UK) were prepared before treatment and after day 7 in the event of reappearance of parasites, confirmed by microscopy. PCR genotyping was performed following the standard protocol as previously described on the basis of P. falciparum merozoite surface protein 1 (msp1), merozoite surface protein 2 (msp2) and glutamate-rich protein (glurp).6,22,23 Possible outcomes were new infection or recrudescence. A “new infection” is a subsequent occurring parasitaemia in which all the alleles of the parasites from the posttreatment sample are different from those in the admission sample, for one or more loci tested. In a “recrudescence,” at least one allele at each locus should be in common for both paired samples.

Study end points

The primary end points were PCT and parasite clearance rate. The PCT was defined as the time in hours from the first treatment dose to the first of two consecutive thick blood films that were negative for asexual P. falciparum parasites after checking 200 oil immersion fields. The secondary outcomes were the PCR-corrected ACPR at day 42, fever clearance times, time in hours from the start of treatment at which the temperature first decreased to <37.5°C and remained below 37.5°C for 24 hours.

Statistical analyses

SPSS Version 17 (SPSS Inc., Chicago, IL, USA) was used for data management and analysis. Frequencies were compared by either chi-squared or Fisher’s exact tests, as appropriate, and continuous variables by Student’s t-tests. Distribution of parasite clearance rate constants and slope half-lives were generated by the WWARN’s PCE (http://www.wwarn.org/research/parasite-clearance-estimator).

Ethical issues

The study was conducted according to the local laws and regulations, International Conference on Harmonization-Good Clinical Practice (ICH-GCP). The protocol was reviewed and approved by the Comité National d’Ethique de la Recherche de Côte d’Ivoire [National Research Ethic Committee of Côte d’Ivoire]. Written informed consent was obtained from each participant or legal guardians before any sample collection. In the case of an illiterate patient, his/her thumb impression and signature of an independent witness were obtained. Patients providing assent were <18 year old who were able to understand and complied with study procedures in addition to parents’ or legal guardians’ written informed consent.

Results

Trial profile

The trial profile is shown in Figure 1. From April to June 2016, 298 patients with suspected malaria were screened for eligibility in the clinical trial. A total of 120 patients were eligible and randomized in the AS + AQ (57) and AL (63) groups. The reasons for ineligibility were low-density parasitaemia (<2,000 parasites⁄μL of blood), very high-density parasitaemia (>200,000 parasites⁄μL of blood), low probability of completing follow-up, inability to take oral drugs, and unwillingness to consent to the study. Six patients (two in the AS + AQ group and four in the AL group) defaulted as a result of withdrawal and/or lost to follow up. Primary end points were reached by 54 and 55 patients in the AS + AQ and AL groups, respectively.
Figure 1

Trial profile.

Baseline characteristics of study population

The study population consisted of 44.4% males and 55.6% females in the AL group. In the AS + AQ group, 40.3% of patients were males. The median age was 7±0.67 years in the AL group and 8.7±1.0 years in the AS + AQ group. Mean weight was 22.1±1.65 kg in the AL group and 23.3±1.5 kg in the AS + AQ group. Both treatment groups were comparable in terms of baseline demographic, clinical, and laboratory characteristics except for hemoglobin and age (Table 1).
Table 1

Baseline demographic characteristics

ParametersAL (n=63)AS + AQ (n=57)P-value
Sex, n (%) male28 (44.4)23 (40.3)0.78
Age (years), mean ± SD7.0±0.678.7±1.00.16a
Age group
 1–5 years, n (%)30 (47.6)17 (29.8)0.07
 6–15 years, n (%)27 (42.8)38 (66.6)0.01
 >15 years, n (%)06 (09.5)02 (03.5)0.34
Weight (kg), mean ± SD22.1±1.6523.3±1.50.59b
Pf. (parasitemia/mL), geometric mean ± SD71,320±2.859,437±2.80,16b
Anemia (hemoglobin level <10), n (%)20 (31.7)10 (17.5)0.11b
Fever (axillary temperature ≥37.5°C), n (%)63 (100)57 (100)1b
Body temperature among febrile patients (°C), mean±SD39.2±0.0839.1±0.070.30b

Notes: Asexual parasites per microliter.

Chi-squared test.

Student’s t-test.

Abbreviations: AL, artemether + lumefantrine; AS + AQ, artesunate + amodiaquine; Pf., Plasmodium falciparum.

Primary end points

The parasite clearance rate was assessed in 54 and 55 patients in the AS + AQ group and AL group, respectively. The median PCT in this study was 30 hours (IQR, 24–36 hours), for each ACT, and the median parasite clearance rate had a slope half-life of 2.36 hours (IQR, 1.85–2.88 hours) and 2.23 hours (IQR, 1.74–2.63 hours) for AS + AQ and AL, respectively (Table 2).
Table 2

Primary and secondary end points

End pointAL (n=63)AS + AQ (n=57)P-value
Primary end pointa
Parasite clearance rate (n)b5554
Lag phase (hours), (n); median (range)(29); 6.0 (6–12)(31); 6.0 (6–12)0.77
Parasite clearance rate constant(per hour), median (IQR)0.29 (0.24–0.37)0.31 (0.26–0.40)0.17
Slope half-life (hours), median (IQR)2.36 (1.85–2.88)2.23 (1.74–2.63)0.20
PCT (hours), n5554
PCT, median (IQR)30.0 (24.0–36.0)30.0 (24.0–36.0)0.22
PC50, median IQR)8.93 (4.37–11.84)7.95 (4.65–10.46)0.77
PC90, median (IQR)14.34 (10.58–17.78)14.02 (10.65–17.10)0.51
PC95, median (IQR)16.65 (13.11–20.69)16.0 (12.78–19.69)0.44
PC99, median (IQR)22.19 (18.75–25.84)21.32 (18.46–25.07)0.34
Secondary end points
Treatment outcomes, n6357
LPF (PCR corrected), n01001
PCR-corrected cure rate (K–M)
At day 28, n (%) (95% CI)63 (100)57 (100)1
At day 42, n (%) (95% CI)62 (98.07) (88.07–99.67)57 (100)1
FCT (hours), (n); median (IQR)(63); 6 (6–6)(57); 6 (6–6)0.49

Notes:

PC50, 50% parasite clearance rate; PC90, 90% parasite clearance rate; PC95, 95% parasite clearance rate; PC99, 99% parasite clearance rate.

As estimated by the PCE (WWARN).

Abbreviations: AL, artemether + lumefantrine; AS + AQ, artesunate + amodiaquine; FCT, fever clearance time; K–M, Kaplan–Meier; LPF, late parasitological failure; PCE, parasite clearance estimator; PCR, polymerase chain reaction; PCT, parasite clearance time; WWARN, Worldwide Antimalarial Resistance Network.

Secondary end points

No early treatment failure (ETF) was observed in either of the study groups. Day 42 crude ACPRs were 96.4% and 83.3% in the AS + AQ and AL groups, respectively. Twelve patients who completed 42-day follow-up had reappearance of parasitaemia (ten in the AL group, two in the AS + AQ group) between days 14 and 42 after the initial clearance of parasitaemia. PCR genotyping was successfully performed on all blood samples. PCR-corrected ACPR at day 42 after PCR correction in per-protocol population was 100% and 98.07% for AS + AQ and AL, respectively. This rate was 100% for each ACTs at day 28. Among those febrile on inclusion, the median fever clearance time was 6 hours (IQR, 6–6 hours) for each drug (Table 2).

Discussion

ACT as recommended by the WHO for the treatment of uncomplicated P. falciparum malaria has been adopted as the first-line therapy in most malaria-endemic countries. Monitoring the efficacy of malaria treatment and studies related to K13 propeller mutations have become essential to detect resistance to ACTs as early as possible. A significant decrease in the rate of parasite clearance and delayed PCT following treatment with artemisinin and increased failure rates following ACT treatments provided definitive evidence of resistance in Southeast Asia.8,9,24 The median PCT in this study was 30 hours (IQR, 24–36 hours), for each ACT, and the median parasite clearance rate had a slope half-life of 2.36 hours (IQR, 1.85–2.88 hours) and 2.23 hours (IQR, 1.74–2.63 hours) for AS + AQ and AL, respectively. A Phase III trial related to PCT (sampling every 6 hours) from patients treated with AL conducted in the south of Côte d’Ivoire in 2012 and 2014 demonstrated a rapid PCT of 24 hours.20,25 It seemed that the current PCT found in the center of the country is higher than in the south. This could be due to patients’ immunity related to transmission which is more intense in the south, drug pressure, the type of AL used, human genetics factors, or both. Most of clinical trials conducted in Côte d’Ivoire since the introduction of AS + AQ and AL as the first-line treatment from 2005 to 2015 measured parasitaemia either daily or only on days 0, 2, and 3 as per WHO guidelines. Results from these studies demonstrated an estimated PCT of 48 hours for both AS + AQ and AL.18,19,26 However, these estimations of PCT have some limitations. Determination of PCT based on daily sampling lacks precision since the exact time of parasite count is not recorded. In addition, this time could vary by several hours depending on the timing of the visit to the clinic at inclusion and during the follow-up days. Accurate estimations of parasite clearance rates with WWARN’s PCE are suitable but need more frequent samplings which are difficult to implement during routine monitoring of the efficacy of ACTs. The proportion of patients with persistent parasitaemia on day 3 after ACTs provides a useful indicator to be considered as a simple and readily measure in the setting of drug efficacy surveillance studies.27 The delayed parasite clearance at 72 hours is an in vivo predictor of subsequent treatment failure with ACTs26 and an indicator of choice for the routine monitoring of suspected artemisinin resistance in P. falciparum. In the current study, none of the patients presented parasites on day 3. In a study conducted in 2009 in Côte d’Ivoire, delay in parasite clearance occurred in one patient treated with AL, suggesting probably a decreased sensitivity.26 Data related to PCT or proportion of patients with parasitaemia at day 3 from this current study and the previous one showed that malaria patients in Côte d’Ivoire cleared parasites rapidly after ACTs. These results are consistent with those reported from several sub-Saharan African countries.28–30 An individual patient data analysis of parasite clearance conducted on a large sample (n=15,000) of uncomplicated malaria treatments showed that rapid P. falciparum clearance continues to be achieved in sub-Saharan African patients treated with ACT.31 The artemisinin component is mostly responsible for the rapid parasite clearance. Studies conducted in Western Cambodgia on artemisinin alone have reported 84 hours for PCT which was related to artemisinin resistance.12,32,33 The PCT with artemisinin observed in African patients is therefore much lower than that found in Western Cambodia.34 In a study conducted in Mali where parasitaemia was recorded every 8 hours in patients treated for uncomplicated P. falciparum with AS for 7 days and where there was no evidence of delayed parasitemia, the observed median PCT was 32 hours.35 Several factors could explain this difference. Indeed, artemisinin has been widely used in Africa since 2000, compared to more than 30 years in Cambodia, and is mainly available as co-formulated ACT.8,36 The other factors are related to host immunity and transmission reservoir of asymptomatic individual. These factors serve as obstacles to the selection of artemisinin resistance.37 Factors such as drug concentration, pretreatment parasite density, host malaria-specific immunity, independently of intrinsic drug-related effects, may alter or increase effects of drug on parsites.30–32 Malaria-specific immunity factor plays an important role in parasite clearance. A study conducted in the west of Côte d’Ivoire showed that glutamate rich protein and circumsporozoite protein IgG antibody responses in Man region in the west contribute to AS + AQ and AL treatment success and suggest that antimalarial immunity plays an important role in early parasitological responses.38–40 Efficacy data from the current study showed a high cure rate for both regimens after a standard day 42 follow-up. PCR-corrected ACPR at day 42 in the per-protocol population was 100% and 98.07% for AS + AQ and AL, respectively. Both treatments were well above the WHO recommended 90% threshold for treatments in use.6 Crude clinical treatment failure occurred in ten and two participants in the AL and AS + AQ groups, respectively. Our findings are in line with results from previous studies that showed that ACTs had a high cure rate and short PCT in malaria-endemic areas in Côte d’Ivoire.18–20 The study has some limitations. Pharmacology of drug action, parasite biology, and human immunity were not performed.

Conclusion

Patients treated with AS + AQ and AL cleared malaria parasites quickly in Bouake region. Data from this study support evidence that ACTs are still efficacious in this part of Côte d’Ivoire, but continued efficacy monitoring of ACTs is still needed.
  34 in total

1.  A molecular marker of artemisinin-resistant Plasmodium falciparum malaria.

Authors:  Frédéric Ariey; Benoit Witkowski; Chanaki Amaratunga; Johann Beghain; Anne-Claire Langlois; Nimol Khim; Saorin Kim; Valentine Duru; Christiane Bouchier; Laurence Ma; Pharath Lim; Rithea Leang; Socheat Duong; Sokunthea Sreng; Seila Suon; Char Meng Chuor; Denis Mey Bout; Sandie Ménard; William O Rogers; Blaise Genton; Thierry Fandeur; Olivo Miotto; Pascal Ringwald; Jacques Le Bras; Antoine Berry; Jean-Christophe Barale; Rick M Fairhurst; Françoise Benoit-Vical; Odile Mercereau-Puijalon; Didier Ménard
Journal:  Nature       Date:  2013-12-18       Impact factor: 49.962

2.  Artemisinin resistance in Plasmodium falciparum malaria.

Authors:  Arjen M Dondorp; François Nosten; Poravuth Yi; Debashish Das; Aung Phae Phyo; Joel Tarning; Khin Maung Lwin; Frederic Ariey; Warunee Hanpithakpong; Sue J Lee; Pascal Ringwald; Kamolrat Silamut; Mallika Imwong; Kesinee Chotivanich; Pharath Lim; Trent Herdman; Sen Sam An; Shunmay Yeung; Pratap Singhasivanon; Nicholas P J Day; Niklas Lindegardh; Duong Socheat; Nicholas J White
Journal:  N Engl J Med       Date:  2009-07-30       Impact factor: 91.245

3.  A Worldwide Map of Plasmodium falciparum K13-Propeller Polymorphisms.

Authors:  Didier Ménard; Nimol Khim; Johann Beghain; Ayola A Adegnika; Mohammad Shafiul-Alam; Olukemi Amodu; Ghulam Rahim-Awab; Céline Barnadas; Antoine Berry; Yap Boum; Maria D Bustos; Jun Cao; Jun-Hu Chen; Louis Collet; Liwang Cui; Garib-Das Thakur; Alioune Dieye; Djibrine Djallé; Monique A Dorkenoo; Carole E Eboumbou-Moukoko; Fe-Esperanza-Caridad J Espino; Thierry Fandeur; Maria-Fatima Ferreira-da-Cruz; Abebe A Fola; Hans-Peter Fuehrer; Abdillahi M Hassan; Socrates Herrera; Bouasy Hongvanthong; Sandrine Houzé; Maman L Ibrahim; Mohammad Jahirul-Karim; Lubin Jiang; Shigeyuki Kano; Wasif Ali-Khan; Maniphone Khanthavong; Peter G Kremsner; Marcus Lacerda; Rithea Leang; Mindy Leelawong; Mei Li; Khin Lin; Jean-Baptiste Mazarati; Sandie Ménard; Isabelle Morlais; Hypolite Muhindo-Mavoko; Lise Musset; Kesara Na-Bangchang; Michael Nambozi; Karamoko Niaré; Harald Noedl; Jean-Bosco Ouédraogo; Dylan R Pillai; Bruno Pradines; Bui Quang-Phuc; Michael Ramharter; Milijaona Randrianarivelojosia; Jetsumon Sattabongkot; Abdiqani Sheikh-Omar; Kigbafori D Silué; Sodiomon B Sirima; Colin Sutherland; Din Syafruddin; Rachida Tahar; Lin-Hua Tang; Offianan A Touré; Patrick Tshibangu-wa-Tshibangu; Inès Vigan-Womas; Marian Warsame; Lyndes Wini; Sedigheh Zakeri; Saorin Kim; Rotha Eam; Laura Berne; Chanra Khean; Sophy Chy; Malen Ken; Kaknika Loch; Lydie Canier; Valentine Duru; Eric Legrand; Jean-Christophe Barale; Barbara Stokes; Judith Straimer; Benoit Witkowski; David A Fidock; Christophe Rogier; Pascal Ringwald; Frederic Ariey; Odile Mercereau-Puijalon
Journal:  N Engl J Med       Date:  2016-06-23       Impact factor: 91.245

4.  Spread of artemisinin resistance in Plasmodium falciparum malaria.

Authors:  Elizabeth A Ashley; Mehul Dhorda; Rick M Fairhurst; Chanaki Amaratunga; Parath Lim; Seila Suon; Sokunthea Sreng; Jennifer M Anderson; Sivanna Mao; Baramey Sam; Chantha Sopha; Char Meng Chuor; Chea Nguon; Siv Sovannaroth; Sasithon Pukrittayakamee; Podjanee Jittamala; Kesinee Chotivanich; Kitipumi Chutasmit; Chaiyaporn Suchatsoonthorn; Ratchadaporn Runcharoen; Tran Tinh Hien; Nguyen Thanh Thuy-Nhien; Ngo Viet Thanh; Nguyen Hoan Phu; Ye Htut; Kay-Thwe Han; Kyin Hla Aye; Olugbenga A Mokuolu; Rasaq R Olaosebikan; Olaleke O Folaranmi; Mayfong Mayxay; Maniphone Khanthavong; Bouasy Hongvanthong; Paul N Newton; Marie A Onyamboko; Caterina I Fanello; Antoinette K Tshefu; Neelima Mishra; Neena Valecha; Aung Pyae Phyo; Francois Nosten; Poravuth Yi; Rupam Tripura; Steffen Borrmann; Mahfudh Bashraheil; Judy Peshu; M Abul Faiz; Aniruddha Ghose; M Amir Hossain; Rasheda Samad; M Ridwanur Rahman; M Mahtabuddin Hasan; Akhterul Islam; Olivo Miotto; Roberto Amato; Bronwyn MacInnis; Jim Stalker; Dominic P Kwiatkowski; Zbynek Bozdech; Atthanee Jeeyapant; Phaik Yeong Cheah; Tharisara Sakulthaew; Jeremy Chalk; Benjamas Intharabut; Kamolrat Silamut; Sue J Lee; Benchawan Vihokhern; Chanon Kunasol; Mallika Imwong; Joel Tarning; Walter J Taylor; Shunmay Yeung; Charles J Woodrow; Jennifer A Flegg; Debashish Das; Jeffery Smith; Meera Venkatesan; Christopher V Plowe; Kasia Stepniewska; Philippe J Guerin; Arjen M Dondorp; Nicholas P Day; Nicholas J White
Journal:  N Engl J Med       Date:  2014-07-31       Impact factor: 91.245

5.  Open-label, randomized, non-inferiority clinical trial of artesunate-amodiaquine versus artemether-lumefantrine fixed-dose combinations in children and adults with uncomplicated falciparum malaria in Côte d'Ivoire.

Authors:  Offianan A Toure; Serge B Assi; Tiacoh L N'Guessan; Gbessi E Adji; Aristide B Ako; Marie J Brou; Marie F Ehouman; Laeticia A Gnamien; M'Lanhoro A A Coulibaly; Baba Coulibaly; Sylvain Beourou; Issiaka Bassinka; Adama Soumahoro; Florence Kadjo; Mea A Tano
Journal:  Malar J       Date:  2014-11-19       Impact factor: 2.979

6.  The last man standing is the most resistant: eliminating artemisinin-resistant malaria in Cambodia.

Authors:  Richard J Maude; Wirichada Pontavornpinyo; Sompob Saralamba; Ricardo Aguas; Shunmay Yeung; Arjen M Dondorp; Nicholas P J Day; Nicholas J White; Lisa J White
Journal:  Malar J       Date:  2009-02-20       Impact factor: 2.979

Review 7.  Clinical determinants of early parasitological response to ACTs in African patients with uncomplicated falciparum malaria: a literature review and meta-analysis of individual patient data.

Authors:  Prabin Dahal; Umberto d'Alessandro; Grant Dorsey; Philippe J Guerin; Christian Nsanzabana; Ric N Price; Carol H Sibley; Kasia Stepniewska; Ambrose O Talisuna
Journal:  BMC Med       Date:  2015-09-07       Impact factor: 8.775

8.  Efficacy and Safety of Artesunate-Amodiaquine versus Artemether-Lumefantrine in the Treatment of Uncomplicated Plasmodium falciparum Malaria in Sentinel Sites across Côte d'Ivoire.

Authors:  William Yavo; Abibatou Konaté; Fulgence Kondo Kassi; Vincent Djohan; Etienne Kpongbo Angora; Pulcherie Christiane Kiki-Barro; Henriette Vanga-Bosson; Eby Ignace Hervé Menan
Journal:  Malar Res Treat       Date:  2015-08-12

9.  Plasmodium falciparum clearance in clinical studies of artesunate-amodiaquine and comparator treatments in sub-Saharan Africa, 1999-2009.

Authors:  Julien Zwang; Grant Dorsey; Andreas Mårtensson; Umberto d'Alessandro; Jean-Louis Ndiaye; Corine Karema; Abdoulaye Djimde; Philippe Brasseur; Sodiomon B Sirima; Piero Olliaro
Journal:  Malar J       Date:  2014-03-25       Impact factor: 2.979

10.  Lack of artemisinin resistance in Plasmodium falciparum in northwest Benin after 10 years of use of artemisinin-based combination therapy.

Authors:  Aurore Ogouyèmi-Hounto; Georgia Damien; Awa Bineta Deme; Nicaise T Ndam; Constance Assohou; Didier Tchonlin; Atika Mama; Virgile Olivier Hounkpe; Jules Doumitou Moutouama; Franck Remoué; Daouda Ndiaye; Dorothée Kinde Gazard
Journal:  Parasite       Date:  2016-07-21       Impact factor: 3.000

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  3 in total

1.  Prevalence and Factors Associated with Acute Kidney Injury among Malaria Patients in Dar es Salaam: A Cross-Sectional Study.

Authors:  M S Muhamedhussein; S Ghosh; K Khanbhai; E Maganga; Z Nagri; M Manji
Journal:  Malar Res Treat       Date:  2019-08-07

2.  Trends and predictive factors for treatment failure following artemisinin-based combination therapy among children with uncomplicated malaria in Ghana: 2005-2018.

Authors:  Benjamin Abuaku; Nancy Odurowah Duah-Quashie; Neils Quashie; Akosua Gyasi; Patricia Opoku Afriyie; Felicia Owusu-Antwi; Anita Ghansah; Keziah Laurencia Malm; Constance Bart-Plange; Kwadwo Ansah Koram
Journal:  BMC Infect Dis       Date:  2021-12-15       Impact factor: 3.090

3.  Pattern of antibody responses to Plasmodium falciparum antigens in individuals differentially exposed to Anopheles bites.

Authors:  Kakou G Aka; Dipomin F Traoré; André B Sagna; Dounin D Zoh; Serge B Assi; Bertin N'cho Tchiekoi; Akré M Adja; Franck Remoue; Anne Poinsignon
Journal:  Malar J       Date:  2020-02-21       Impact factor: 2.979

  3 in total

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