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1. Variability in white blood cell count during uncomplicated malaria and implications for parasite density estimation : a WorldWide Antimalarial Resistance Network individual patient data meta-analysis

Author

Wynberg, Elke, Commons, Robert J., Humphreys, Georgina, Ashurst, Hazel, Burrow, Rebekah, Adjei, George O., Adjuik, Martin, Anstey, Nicholas M., Anvikar, Anup, Baird, Kevin J., Barber, Bridget E., Barennes, Hubert, Baudin, Elisabeth, Bell, David J., Bethell, Delia, Binh, Tran Quang, Borghini, Isabelle, Chu, Cindy S., Daher, Andre, D'Alessandro, Umberto, Das, Debashish, Davis, Timothy Me, de Vries, Peter J., Djimde, Abdoulaye A., Dondorp, Arjen M., Dorsey, Grant, Faucher, Jean-Francois F., Fogg, Carole, Gaye, Oumar, Grigg, Matthew, Hatz, Christoph, Kager, Piet A., Lacerda, Marcus, Laman, Moses, Mårtensson, Andreas, Menan, Herve Ignace Eby, Monteiro, Wuelton M., Moore, Brioni R., Nosten, Francois, Ogutu, Bernhards, Osorio, Lyda, Penali, Louis K., Pereira, Dhelio B., Rahim, Awab G., Ramharter, Michael, Sagara, Issaka, Schramm, Birgit, Seidlein, Lorenz, Siqueira, Andre M., Sirima, Sodiomon B., Starzengruber, Peter, Sutanto, Inge, Taylor, Walter R., Toure, Offianan A., Utzinger, Jurg, Valea, Innocent, Valentini, Giovanni, White, Nicholas J., William, Timothy, Woodrow, Charles J., Richmond, Caitlin L., Guerin, Philippe J., Price, Ric N., Stepniewska, Kasia, Wynberg, Elke, Commons, Robert J., Humphreys, Georgina, Ashurst, Hazel, Burrow, Rebekah, Adjei, George O., Adjuik, Martin, Anstey, Nicholas M., Anvikar, Anup, Baird, Kevin J., Barber, Bridget E., Barennes, Hubert, Baudin, Elisabeth, Bell, David J., Bethell, Delia, Binh, Tran Quang, Borghini, Isabelle, Chu, Cindy S., Daher, Andre, D'Alessandro, Umberto, Das, Debashish, Davis, Timothy Me, de Vries, Peter J., Djimde, Abdoulaye A., Dondorp, Arjen M., Dorsey, Grant, Faucher, Jean-Francois F., Fogg, Carole, Gaye, Oumar, Grigg, Matthew, Hatz, Christoph, Kager, Piet A., Lacerda, Marcus, Laman, Moses, Mårtensson, Andreas, Menan, Herve Ignace Eby, Monteiro, Wuelton M., Moore, Brioni R., Nosten, Francois, Ogutu, Bernhards, Osorio, Lyda, Penali, Louis K., Pereira, Dhelio B., Rahim, Awab G., Ramharter, Michael, Sagara, Issaka, Schramm, Birgit, Seidlein, Lorenz, Siqueira, Andre M., Sirima, Sodiomon B., Starzengruber, Peter, Sutanto, Inge, Taylor, Walter R., Toure, Offianan A., Utzinger, Jurg, Valea, Innocent, Valentini, Giovanni, White, Nicholas J., William, Timothy, Woodrow, Charles J., Richmond, Caitlin L., Guerin, Philippe J., Price, Ric N., and Stepniewska, Kasia

Abstract

Background: The World Health Organization (WHO) recommends that when peripheral malarial parasitaemia is quantified by thick film microscopy, an actual white blood cell (WBC) count from a concurrently collected blood sample is used in calculations. However, in resource-limited settings an assumed WBC count is often used instead. The aim of this study was to describe the variability in WBC count during acute uncomplicated malaria, and estimate the impact of using an assumed value of WBC on estimates of parasite density and clearance. Methods: Uncomplicated malaria drug efficacy studies that measured WBC count were selected from the WorldWide Antimalarial Resistance Network data repository for an individual patient data meta-analysis of WBC counts. Regression models with random intercepts for study-site were used to assess WBC count variability at presentation and during follow-up. Inflation factors for parasitaemia density, and clearance estimates were calculated for methods using assumed WBC counts (8000 cells/mu L and age-stratified values) using estimates derived from the measured WBC value as reference. Results: Eighty-four studies enrolling 27,656 patients with clinically uncomplicated malaria were included. Geometric mean WBC counts (x 1000 cells/mu L) in age groups < 1, 1-4, 5-14 and >= 15 years were 10.5, 8.3, 7.1, 5.7 and 7.5, 7.0, 6.5, 6.0 for individuals with falciparum (n = 24,978) and vivax (n = 2678) malaria, respectively. At presentation, higher WBC counts were seen among patients with higher parasitaemia, severe anaemia and, for individuals with vivax malaria, in regions with shorter regional relapse periodicity. Among falciparum malaria patients, using an assumed WBC count of 8000 cells/mu L resulted in parasite density underestimation by a median (IQR) of 26% (4-41%) in infants < 1 year old but an overestimation by 50% (16-91%) in adults aged = 15 years. Use of age-stratified assumed WBC values removed systematic bias but did not improve pr

Published
2023
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2. Haematological consequences of acute uncomplicated falciparum malaria: a WorldWide Antimalarial Resistance Network pooled analysis of individual patient data

Author

Mansoor, Rashid, Commons, Robert J, Douglas, Nicholas M, Abuaku, Benjamin, Achan, Jane, Adam, Ishag, Adjei, George O, Adjuik, Martin, Alemayehu, Bereket H, Allan, Richard, Allen, Elizabeth N, Anvikar, Anupkumar R, Arinaitwe, Emmanuel, Ashley, Elizabeth A, Ashurst, Hazel, Asih, Puji BS, Bakyaita, Nathan, Barennes, Hubert, Barnes, Karen I, Basco, Leonardo, Bassat, Quique, Baudin, Elisabeth, Bell, David J, Bethell, Delia, Bjorkman, Anders, Boulton, Caroline, Bousema, Teun, Brasseur, Philippe, Bukirwa, Hasifa, Burrow, Rebekah, Carrara, Verena I, Cot, Michel, D'Alessandro, Umberto, Das, Debashish, Das, Sabyasachi, Davis, Timothy ME, Desai, Meghna, Djimde, Abdoulaye A, Dondorp, Arjen M, Dorsey, Grant, Drakeley, Chris J, Duparc, Stephan, Espie, Emmanuelle, Etard, Jean-Francois, Falade, Catherine, Faucher, Jean Francois, Filler, Scott, Fogg, Carole, Fukuda, Mark, Gaye, Oumar, Genton, Blaise, Rahim, Awab Ghulam, Gilayeneh, Julius, Gonzalez, Raquel, Grais, Rebecca F, Grandesso, Francesco, Greenwood, Brian, Grivoyannis, Anastasia, Hatz, Christoph, Hodel, Eva Maria, Humphreys, Georgina S, Hwang, Jimee, Ishengoma, Deus, Juma, Elizabeth, Kachur, S Patrick, Kager, Piet A, Kamugisha, Erasmus, Kamya, Moses R, Karema, Corine, Kayentao, Kassoum, Kazienga, Adama, Kiechel, Jean-Rene, Kofoed, Poul-Erik, Koram, Kwadwo, Kremsner, Peter G, Lalloo, David G, Laman, Moses, Lee, Sue J, Lell, Bertrand, Maiga, Amelia W, Martensson, Andreas, Mayxay, Mayfong, Mbacham, Wilfred, McGready, Rose, Menan, Herve, Menard, Didier, Mockenhaupt, Frank, Moore, Brioni R, Muller, Olaf, Nahum, Alain, Ndiaye, Jean-Louis, Newton, Paul N, Ngasala, Billy E, Nikiema, Frederic, Nji, Akindeh M, Noedl, Harald, Nosten, Francois, Ogutu, Bernhards R, Ojurongbe, Olusola, Osorio, Lyda, Ouedraogo, Jean-Bosco, Owusu-Agyei, Seth, Pareek, Anil, Penali, Louis K, Piola, Patrice, Plucinski, Mateusz, Premji, Zul, Ramharter, Michael, Richmond, Caitlin L, Rombo, Lars, Rosenthal, Philip J, Salman, Sam, Same-Ekobo, Albert, Sibley, Carol, Sirima, Sodiomon B, Smithuis, Frank M, Some, Fabrice A, Staedke, Sarah G, Starzengruber, Peter, Strub-Wourgaft, Nathalie, Sutanto, Inge, Swarthout, Todd D, Syafruddin, Din, Talisuna, Ambrose O, Taylor, Walter R, Temu, Emmanuel A, Thwing, Julie I, Tinto, Halidou, Tjitra, Emiliana, Toure, Offianan A, Tran, T Hien, Ursing, Johan, Valea, Innocent, Valentini, Giovanni, van Vugt, Michele, von Seidlein, Lorenz, Ward, Stephen A, Were, Vincent, White, Nicholas J, Woodrow, Charles J, Yavo, William, Yeka, Adoke, Zongo, Issaka, Simpson, Julie A, Guerin, Philippe J, Stepniewska, Kasia, Price, Ric N, Roper, Cally, Resistance, WorldWide Antimalarial, WorldWide Antimalarial Resistance Network Falciparum Haematology Study Group, Vecteurs - Infections tropicales et méditerranéennes (VITROME), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA), Epidémiologie des Maladies Chroniques en zone tropicale (EpiMaCT), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-OmégaHealth (ΩHealth), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Group, WorldWide Antimalarial Resistance Network Falciparum Haematology Study, Mansoor, R, Ashley, EA, Ashurst, H, Burrow, R, Carrara, VI, Das, D, Dondorp, AM, Humphreys, GS, Lee, SJ, Mayxay, M, McGready, R, Newton, PN, Nosten, F, Richmond, CL, Sibley, C, Smithuis, FM, Taylor, WR, Tran, TH, von Seidlein, L, White, NJ, Woodrow, CJ, Guerin, PJ, Stepniewska, K, Price, RN, AII - Infectious diseases, Intensive Care Medicine, Infectious diseases, APH - Global Health, and APH - Quality of Care

Subjects
Infectious Medicine, Plasmodium falciparum, wh_120, Infektionsmedicin, Severe anaemia, Parasitemia, wa_530, Antimalarials, Non-artemisinin-based therapy, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, parasitic diseases, qv_256, Humans, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, Malaria, Falciparum, Child, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Pooled analysis of individual patient data, Anemia, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Artemisinin-based therapy, [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Malaria, wc_750, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Haemoglobin
Abstract

Background Plasmodium falciparum malaria is associated with anaemia-related morbidity, attributable to host, parasite and drug factors. We quantified the haematological response following treatment of uncomplicated P. falciparum malaria to identify the factors associated with malarial anaemia. Methods Individual patient data from eligible antimalarial efficacy studies of uncomplicated P. falciparum malaria, available through the WorldWide Antimalarial Resistance Network data repository prior to August 2015, were pooled using standardised methodology. The haematological response over time was quantified using a multivariable linear mixed effects model with nonlinear terms for time, and the model was then used to estimate the mean haemoglobin at day of nadir and day 7. Multivariable logistic regression quantified risk factors for moderately severe anaemia (haemoglobin < 7 g/dL) at day 0, day 3 and day 7 as well as a fractional fall ≥ 25% at day 3 and day 7. Results A total of 70,226 patients, recruited into 200 studies between 1991 and 2013, were included in the analysis: 50,859 (72.4%) enrolled in Africa, 18,451 (26.3%) in Asia and 916 (1.3%) in South America. The median haemoglobin concentration at presentation was 9.9 g/dL (range 5.0–19.7 g/dL) in Africa, 11.6 g/dL (range 5.0–20.0 g/dL) in Asia and 12.3 g/dL (range 6.9–17.9 g/dL) in South America. Moderately severe anaemia (Hb < 7g/dl) was present in 8.4% (4284/50,859) of patients from Africa, 3.3% (606/18,451) from Asia and 0.1% (1/916) from South America. The nadir haemoglobin occurred on day 2 post treatment with a mean fall from baseline of 0.57 g/dL in Africa and 1.13 g/dL in Asia. Independent risk factors for moderately severe anaemia on day 7, in both Africa and Asia, included moderately severe anaemia at baseline (adjusted odds ratio (AOR) = 16.10 and AOR = 23.00, respectively), young age (age < 1 compared to ≥ 12 years AOR = 12.81 and AOR = 6.79, respectively), high parasitaemia (AOR = 1.78 and AOR = 1.58, respectively) and delayed parasite clearance (AOR = 2.44 and AOR = 2.59, respectively). In Asia, patients treated with an artemisinin-based regimen were at significantly greater risk of moderately severe anaemia on day 7 compared to those treated with a non-artemisinin-based regimen (AOR = 2.06 [95%CI 1.39–3.05], p < 0.001). Conclusions In patients with uncomplicated P. falciparum malaria, the nadir haemoglobin occurs 2 days after starting treatment. Although artemisinin-based treatments increase the rate of parasite clearance, in Asia they are associated with a greater risk of anaemia during recovery.

Published
2022

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