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4 results on '"Kamugisha, Erasmus"'

2. Efficacy and safety of artemether-lumefantrine for the treatment of uncomplicated malaria and prevalence of Pfk13 and Pfmdr1 polymorphisms after a decade of using artemisinin-based combination therapy in mainland Tanzania

Author

Ishengoma, Deus S., Mandara, Celine I., Francis, Filbert, Talundzic, Eldin, Lucchi, Naomi W., Ngasala, Billy, Kabanywanyi, Abdunoor M., Mahende, Muhidin K., Kamugisha, Erasmus, Kavishe, Reginald A., Muro, Florida, Mohamed, Ally, Mandike, Renata, Mkude, Sigsbert, Chacky, Frank, Paxton, Lynn, Greer, George, Kitojo, Chonge A., Njau, Ritha, Martin, Troy, Venkatesan, Meera, Warsame, Marian, Halsey, Eric S., and Udhayakumar, Venkatachalam

Published
2019
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4. Temporal distribution of Plasmodium falciparum recrudescence following artemisinin-based combination therapy: an individual participant data meta-analysis

Author

Dahal, Prabin, Simpson, Julie Anne, Abdulla, Salim, Achan, Jane, Adam, Ishag, Agarwal, Aarti, Allan, Richard, Anvikar, Anupkumar R., Ashley, Elizabeth A., Bassat, Quique, Borrmann, Steffen, Bousema, Teun, Bukirwa, Hasifa, Carrara, Verena, I, Corsi, Marco, D'Alessandro, Umberto, Davis, Timothy M. E., Deloron, Philippe, Desai, Meghna, Dimbu, Pedro Rafael, Djalle, Djibrine, Djimde, Abdoulaye, Dorsey, Grant, Drakeley, Chris J., Duparc, Stephan, Edstein, Michael D., Espie, Emmanuelle, Faiz, Abul, Falade, Catherine, Fanello, Caterina, Faucher, Jean-Francois, Faye, Babacar, Fortes, Filomeno de Jesus, Gadalla, Nahla B., Gaye, Oumar, Gil, J. Pedro, Gilayeneh, Julius, Greenwood, Brian, Grivoyannis, Anastasia, Hien, Tran Tinh, Hwang, Jimee, Janssens, Bart, Juma, Elizabeth, Kamugisha, Erasmus, Karema, Corine, Karunajeewa, Harin A., Kiechel, Jean R., Kironde, Fred, Kofoed, Poul-Erik, Kremsner, Peter G., Lee, Sue J., Marsh, Kevin, Mårtensson, Andreas, Mayxay, Mayfong, Menan, Herve, Mens, Petra, Mutabingwa, Theonest K., Ndiaye, Jean-Louis, Ngasala, Billy, Noedl, Harald, Nosten, Francois, Offianan, Andre Toure, Ogutu, Bernhards R., Olliaro, Piero L., Ouedraogo, Jean Bosco, Piola, Patrice, Plowe, Christopher, V, Plucinski, Mateusz M., Pratt, Oliver James, Premji, Zulfikarali, Ramharter, Michael, Rogier, Christophe, Vitare, Primum, Rombo, Lars, Rosenthal, Philip J., Sibley, Carol, Sirima, Sodiomon, Smithuis, Frank, Staedke, Sarah G., Sutanto, Inge, Talisuna, Ambrose Otau, Tarning, Joel, Taylor, Walter R. J., Temu, Emmanuel, Thriemer, Kamala, Thuy-Nhien, Nguyen, Udhayakumar, Venkatachalam, Ursing, Johan D., van Herp, Michel, van Lenthe, Marit, van Vugt, Michele, William, Yavo, Winnips, Cornelis, Zaloumis, Sophie, Zongo, Issaka, White, Nick J., Guerin, Philippe J., Stepniewska, Kasia, Price, Ric N., Arinaitwe, Emmanuel, and Group, WorldWide Antimalarial Resistance Network Methodology Study

Subjects
Infectious Medicine, Efficacy, Follow-up, Recrudescence, Artemether, Lumefantrine Drug Combination, Plasmodium falciparum, Infektionsmedicin, Distribution, Artemisinins, Malaria, Antimalarials, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], Infectious Diseases, Recurrence, Child, Preschool, Humans, Parasitology, Artemether, Child
Abstract

Background The duration of trial follow-up affects the ability to detect recrudescent infections following anti-malarial treatment. The aim of this study was to explore the proportions of recrudescent parasitaemia as ascribed by genotyping captured at various follow-up time-points in treatment efficacy trials for uncomplicated Plasmodium falciparum malaria. Methods Individual patient data from 83 anti-malarial efficacy studies collated in the WorldWide Antimalarial Resistance Network (WWARN) repository with at least 28 days follow-up were available. The temporal and cumulative distributions of recrudescence were characterized using a Cox regression model with shared frailty on study-sites. Fractional polynomials were used to capture non-linear instantaneous hazard. The area under the density curve (AUC) of the constructed distribution was used to estimate the optimal follow-up period for capturing a P. falciparum malaria recrudescence. Simulation studies were conducted based on the constructed distributions to quantify the absolute overestimation in efficacy due to sub-optimal follow-up. Results Overall, 3703 recurrent infections were detected in 60 studies conducted in Africa (15,512 children aged 48 mg/kg total piperaquine (PIP) dose and 9% [95% CI 0–22%] in those treated with ≤ 48 mg/kg PIP dose. In absolute terms, the simulation study found that trials limited to 28 days follow-up following AL underestimated the risk of recrudescence by a median of 2.8 percentage points compared to day 63 estimates and those limited to 42 days following DP underestimated the risk of recrudescence by a median of 2.0 percentage points compared to day 42 estimates. The analysis was limited by few clinical trials following patients for longer than 42 days (9 out of 83 trials) and the imprecision of PCR genotyping which overcalls recrudescence in areas of higher transmission biasing the later distribution. Conclusions Restricting follow-up of clinical efficacy trials to day 28 for AL and day 42 for DP will miss a proportion of late recrudescent treatment failures but will have a modest impact in derived efficacy. The results highlight that as genotyping methods improve consideration should be given for trials with longer duration of follow-up to detect early indications of emerging drug resistance.

Published
2022

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