14 results on '"Bonnet, Maryline"'
Search Results
2. Effectiveness of preventive treatment among different age groups and Mycobacterium tuberculosis infection status: a systematic review and individual-participant data meta-analysis of contact tracing studies
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Martinez, Leonardo, Seddon, James, Liu, Qiao, Acuna Villaorduna, Carlos, Bonnet, Maryline, Carvalho, Anna Cristina C., Chan, Pei-Chun, Hill, Philip C, Lopez-Varela, Elisa, Donkor, Simon, Graham, Stephen M., Villalba, Julian A., Grandjean, Louis, Zellweger, Jean-Pierre, Wang, Jann-Yuan, Verhagen, Lilly M, van Schalkwykn, Cari, van der Loeff, Maarten F Schim, Sloot, Rosa, Trieu, Lisa, Ahuja, Shama Desai, Yoshiyama, Takashi, Mazahir, Rufaida, Martinsonn, Neil A, Jones-López, Edward C., Altet, Neus, Kato, Seiya, Fang, Chi-Tai, Geis, Steffen, Hauri, Anja, Long, Richard, Dobler, Claudia C, Cayla, Joan A, Chakhaia, Tsira, Chen, Cheng, García-Basteiro, Alberto L., Triasih, Rina, Huang, Li-Min, Sharma, Surendra, Hannoun, Djohar, Malone, LaShaunda L., Ling, Du-Lin, Kritski, Afrânio, Stein, Catherine M., Malik, Amyn A, Augusto, Orvalho, Vashishtha, Richa, Boulahbal, Fadila, Boom, W. Henry, Shen, Ye, Hesseling, Anneke C, Horsburgh, C. Robert, Lange, Christoph, Mandalakas, Anna M., Seddon, James A, Horsburgh, C Robert, and Mandalakas, Anna M
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- 2024
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3. Development of tuberculosis treatment decision algorithms in children below 5 years hospitalised with severe acute malnutrition in Zambia and Uganda: a prospective diagnostic cohort study
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Marcy, Olivier, Serre, Angeline, Badrichani, Anne, Razafimanantsoa, Manoa, Poublan, Julien, Vessière, Aurélia, Roucher, Clémentine, Occelli, Estelle, Beuscart, Aurélie, Charpin, Aurélie, Habiyambere, Gemma, Mesnier, Salomé, Balestre, Eric, Koskas, Nicolas, D'Elbée, Marc, Font, Hélène, Ton Nu Nguyet, Minh Huyen, Bonnet, Maryline, Lounnas, Manon, Espérou, Hélène, Couffin-Cadiergues, Sandrine, Kuppers, Alexis, Hamze, Benjamin, Wobudeya, Eric, Businge, Gerald Bright, Namulinda, Faith, Sserunjogi, Robert, Nassozi, Rashidah, Barungi, Charlotte, Hellen, Aanyu, Doreen, Muwonge, Kagoya, Eva, Aciparu, Serene, Sophia, Chemutai, Ntambi, Samuel, Wasswa, Amir, Nangozi, Juliet, Chabala, Chishala, Mulenga, Veronica, Shankalala, Perfect, Hambulo, Chimuka, Kapotwe, Vincent, Ngambi, Marjory, Kasakwa, Kunda, Kanyama, Mirriam, Chirwa, Uzima, Chifunda, Kapula, Mundundu, Gae, Zulu, Susan, Nawakwi, Grace, Siasulingana, Teddy, Himwaze, Diana Attan, Chilonga, Jessy, Chimbini, Maria, Chilanga, Mutinta, Chola, Daniel, Mwango, Eustace, Nduna, Bwendo, Inambao, Muleya, Pumbwe, Mwamba, Mwambazi, Mwate, Halende, Barbara, Mumba, Wyclef, Mankunshe, Endreen, Silavwe, Maureen, Chakopo, Moses, Moono, Roy, Chungu, Chalilwe, Zimba, Kevin, Kapasa, Monica, Zyambo, Khozya, Babirekere, Esther, Businge, Gerald, Kapula, Chifunda, and Graham, Stephen
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- 2024
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4. Effect of decentralising childhood tuberculosis diagnosis to primary health centre versus district hospital levels on disease detection in children from six high tuberculosis incidence countries: an operational research, pre-post intervention study
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Laurence, Borand, Agathe, de Lauzanne, Bunnet, Dim, Seyla, Heang, Sanary, Kaing, Chanty, Keang, Socheat, L.Y., Pichpiseth, Meas, Sovann, Nhoueng, Long, Pring, Vouchleang, Sreng, Song, Yin, Saren, Sovan, Chanvirak, Phan, Chanra, Chreng, Ratha, Khoun, Monicando, Rin, Sophea, Pal, Boraneath, Nang, Rathakrun, Pom, Tan Eang, Mao, Simoy, Chhim, Huot, Touch, Kosal, Suon, Saronn, Chum, Kimhong, Tok, Kimchorn, Pring, Satya, Krouch, Chean, Chok, Sunleng, Seun, Savtey, Phon, Mai, Nang, Kimda, Hun, Vanny, Hong, Dara, Sok, Kosal, Chea, Bunthoeun, Chheang, Rino, Sem, Lam, Lay, Haysan, Say, Pholly, Kem, Sreyphal, Meng, Sokheng, Phorn, Sreyvann, Him, Peakdey, Pheach, Dalai, Kive, Moeur, Sar, Sreydy, Kong, Seyha, Kong, Sreytouch, Yorn, Soam, Tes, Sophal, Kep, Seroeung HENG Thy, Leng, Savorn, Neak, Sim, Seng, Pheakna, Pay, Sithan, Suon, Sophanna, Chan, Dyna, Um, Savuth, Sin, Sam, Phan, Sarim, Kum, Sokheng, Khath, Pong, Phem, Seyha, Sok, Chanty, Ny, Van, Leim, Sereyvuth, Pich, Sengkry, Chheang, Nhin, Eang, Vannareth, Sao, Vannak, Sim, Sopheak, Som, Ney, Pong, Sokha, Van, Sreyleap, Seng, Vanna, Yoeurng, Kakada, Toem, Thida, Keo, Vuochny, Sem, Sophal, Veng, Chanthol, Rin, Vanny, Seang, Kiri, Lok, Khemra, Mao, Keovanna, Ouk, Maiya, Min, Suomun, Morm, Rattana, Koy, Sreypov, Chhann, Sreytouch, Set, Audrey, Amboua Schouame, Clifford, Babey, Masama, Eden Ngu, Etienne, Guenou, Sylvie, Kwedi Nolna, Douglas, Mbang Massom, Bernard Fortune, Melingui, Nadia, Nga Elomo, Moïse, Mvetumbo, Angeline, Nkembe, Krystel, Ebo, Albert, Kuate Kuate, Michelline, Choupa, Maggi, Mbede, Valerie, Donkeng, Nelly, Kamgaing, Jean-Voisin, Taguebue, Achille, Touha Yannick, Estelle, Abomo Zang, Rosette, Bakoa, Esperance, Mimbouombela Leger, Sabine, Eleme, Gabrielle, Eteme Marie, Thierry, Elouna Nkoa, Dieudonné, Ndzana, Christophe, Bitti, Olivier, Fotsing, Charlotte, Lani Boko, Mathieu, Mbonga, Ghislain Ulrich, Njakou Sagang, Innocent, Onomo, Charlotte, Essaga Hortense, Daniel Desiré, Mboudi Kouang, Léon, Eloundou, Helene, Kengne, Felix, Mbassi, Juliette, Bidjeme, Hortense, Toua Eteme, Nadege, Essama, Roger, Belinga Balla, Norbert, Tassi, Roline, Nguiko Elsa, Leonard, Mekongo, Fabien, Eyebe Ayissi, Francine Christelle, Biloa Anaba, Philomène, Nsom, Celestin Géraud, Yam Essola, Edwige Léa, Mame Moo, Noé, Makon, Arllette Rita, Nounkep Yanghu, Frank, Ebanga, Antoinette, Assiga Ntsama, Carlyle Sorelle, Kamguia Djuimsop, Diane, Mbabou, Marie, Maguip Abanda, Rosine Berthe, Nguemafouo Doummene, Amos, Mekone, Ngwankfu, Konfor Blessing, Jérome, Mimboe, Virginie, Tiona, Roland, Beleck, Sairou, Zam, Nicole, Adibone, Claude, Biaback Jean, Denis, Bessong, Gilbert, Aminou, Jeremie Pagnol, Bille Bonga, Aubin, Fotso Monkap, Epse NGON Annie, Hitekelek, Vitrice, Sebe, Leo, Makon, Marie, Ennah, Mpie, Paul Boyolo, Diane Viviane, Metchoum, Celin, Nzambe, Arnaud, Dado, Milobert, Mbengang, Marceline, Eyebi, Vanessa, Ngah, Alice, Mballa Batonga, Solange, Ayouba, Pierrette, Ebode, Majino, Mamou, Marguerite, Botomogne Bomba, Salametou, Ngnet, Augustine Florence, Essengue Ngono, Rolland, Odionoloba Charles, Bernice, Bisso, Suzy, Balemaken Ingrid, Marie Louise, Mandoki a Bilong, Gertrude, Ndeng Ayouba, Josue, Ngon, Roger, Aka Bony, Kacou Michel, Bah, Dro, Bakayoko, Rolande, Baki Aimee, Marie-France Larissa, Banga, Olivier, Bouzié, Kan, Brou, Pan, Coulibaly, Serge, Danho, Flavien, Deli, Alphonse, Dion, Bi, Do, Armand, Dohoun, William, Edjeme, Cathérine, Falé, Melissa, Gogoua Saulé, Constant, Kesse, Eric, Komena Auguste, Christian, Kouadio, Arkason, Kouame Abel, Raoul, Moh, Sandrine, Nguessan Marcelle, Bertine, Siloué, Nina, Soua, Cyrille Prisca, Yao Yapi, Timothée, Ouassa, Jacquemin, Kouakou, Eric, Balestre, Aurélie, Beuscart, Aurélie, Charpin, Marc, D'elbee, Hélène, Font, Basant, Joshi, Nicolas, Koskas, Olivier, Marcy, Estelle, Occelli, Joanna, Orne-Gliemann, Julien, Poublan, Elodie, Vernoux, Maryline, Bonnet, Savine, Chauvet, Manon, Lounnas, Guillaume, Breton, Pierre-Yves, Norval, Sheyla, Cassy, Verna, Chambal, Valter, Chiúle, Supinho, Chimbanje, Saniata, Cumbe, Mércia, Matsinhe, Celso, Khosa, Nairo, Mabote, Salvador, Machava, Emelva, Machonisse, Verónica, Macuácua, Denise, Milice, Jorge, Ribeiro, Elcídio, Tivane, Dorlim, Uetela, Yara, Voss de Lima, Américo, Zandamela, Alcina, Zita, Ivan, Manhiça, Benedita, José, Dalila, Rego, Chris, Buck W., Kapoli, Kasembe, Atália, Massangaie, Assa, Sitoe, Ambostique, Argola, Césio, Miambo, Presequila, Nhatsave, Gilda, Sitoe, Charifito, Vesta, Salvador, Dimande, Lázaro, Mazembe, Nilza, Amade, Manuela, Chavela, Nomsa, Macheque, Salomão, Comé, Eulália, Machava, Narciso, Mucavele, Jacinto, Nhabanga, Marlene, Nicolau, Natércia, Simbine, Lina, Uendela, Micaela, Juaio, Abiba, Saíde, Naira, Macie, Fernando, Mondlane, Stélio, Simango, Prince, Beyan, Benjamin M, Flomo, Abubakarr, Jalloh Joseph, Ishmael, Kamara, Monica G, Koroma, Mohamed, Lamin, Lena, Matata, Ross, Mugisha Jacob, Christiana M, Senesie, Sheriff, S.E.S.A.Y., Egerton, Tamba Kamara, Ayeshatu, Mustapha, Lynda, Foray, Sandra, Agondeze, Agnes, Kobusingye, Mastula, Nanfuka, Faith, Namulinda, Eric, Wobudeya, Rinah, Arinaitwe, Rodney, Kaitano, Martin, Kasujja, Juliet, Mwanga-Amumpaire, Evans, Mwesigwa, Naome, Natukunda, Simpson, Nuwamanya, Miria, Nyangoma, Patrick, Orikiriza, Johnbosco, Tumwijukye, Esther, Turyashemererwa, Nyehangane, Dan, Mugisha, Ivan, Winnie, Biryeri, George, Naika, Robert, Ongwara O., Allen, Najjuko, Augustine, Kayiira, Samuel, Yairo, Immaculate, Tumwebaze, Goreth, Nalwoga, Paul, Nsiyaleta, Annet, Agaba, Martin, Mpimbaza M., Norbert, Akampurira, Agatha, Tugumisirize, Evans, Ariyo, Julius, Agaba, Yovita, Natukunda, Nelson, Musazi, Edmund, Musinguzi, Brown, Baluku Julius, Moorine, Sekadde, Stavia, Turyahabwe, Chishala, Chabala, Luis, Cuevas, Christophe, Delacourt, Steve, Graham, Malgorzata, Grzemska, Sabine, Verkuijl, Anneke, Hesseling, Elizabeth, Maleche-Obimbo, Mark, Nicol, Wobudeya, Eric, Nanfuka, Mastula, Ton Nu Nguyet, Minh Huyen, Taguebue, Jean-Voisin, Moh, Raoul, Breton, Guillaume, Khosa, Celso, Borand, Laurence, Mwanga-Amumpaire, Juliet, Mustapha, Ayeshatu, Nolna, Sylvie Kwedi, Komena, Eric, Mugisha, Jacob Ross, Natukunda, Naome, Dim, Bunnet, de Lauzanne, Agathe, Cumbe, Saniata, Balestre, Eric, Poublan, Julien, Lounnas, Manon, Ngu, Eden, Joshi, Basant, Norval, Pierre-Yves, Terquiem, Etienne Leroy, Turyahabwe, Stavia, Foray, Lynda, Sidibé, Souleymane, Manhiça, Ivan, Sekadde, Moorine, Detjen, Anne, Verkuijl, Sabine, Mao, Tan Eang, Orne-Gliemann, Joanna, Bonnet, Maryline, and Marcy, Olivier
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- 2024
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5. Cost-effectiveness and budget impact of decentralising childhood tuberculosis diagnosis in six high tuberculosis incidence countries: a mathematical modelling study
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Arlt-Hilares, Doris, Balestre, Eric, Banga, Marie-France, Bénard, Antoine, Bernard, Tanguy, Bonnet, Maryline, Borand, Laurence, Breton, Guillaume, Bunnet, Dim, Chateau, Paul-Damien, Cumbe, Saniata, d’Elbée, Marc, de Lauzanne, Agathe, Dodd, Peter James, Harker, Martin, Huyen Ton Nu Nguyet, Minh, Kaing, Sanary, Khosa, Celso, Komena, Eric, Koroma, Monica, Kwedi Nolna, Sylvie, Mafirakureva, Nyashadzaishe, Mao, Tan Eang, Marcy, Olivier, Mbang Masson, Douglas, Moh, Raoul, Mugisha, Jacob, Mustapha, Ayeshatu, Mwanga-Amumpere, Juliet, Nanfuka, Mastula, Natukunda, Naome, Orne-Gliemann, Joanna, Ouattara, Eric, Poublan, Julien, Sohn, Hojoon, Taguebue, Jean-Voisin, Tulinawe, Immaculate, Voss de Lima, Yara, Wittwer, Jérôme, Wobudeya, Eric, Nolna, Sylvie Kwedi, and Dodd, Peter J.
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- 2024
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6. Does acute malnutrition in young children increase the risk of treatment failure following artemisinin-based combination therapy? A WWARN individual patient data meta-analysis
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Stepniewska, Kasia, Allan, Richard, Anvikar, Anupkumar R, Anyorigiya, Thomas A, Ashley, Elizabeth A, Bassat, Quique, Baudin, Elisabeth, Bjorkman, Anders, Bonnet, Maryline, Boulton, Caroline, Bousema, Teun, Carn, Gwenaelle, Carrara, Verena I, D'Alessandro, Umberto, Davis, Timothy ME, Denoeud-Ndam, Lise, Desai, Meghna, Djimde, Abdoulaye A, Dorsey, Grant, Etard, Jean-François, Falade, Catherine, Fanello, Caterina, Gaye, Oumar, Gonzalez, Raquel, Grandesso, Francesco, Grivoyannis, Anastasia D, Grais, Rebecca F, Humphreys, Georgina S, Ishengoma, Deus S, Karema, Corine, Kayentao, Kassoum, Kennon, Kalynn, Kremsner, PeterG, Laman, Moses, Laminou, Ibrahim M, Macete, Eusebio, Martensson, Andreas, Mayxay, Mayfong, Menan, Hervé IB, Menéndez, Clara, Moore, Brioni R, Nabasumba, Carolyn, Ndiaye, Jean-Louis, Nhama, Abel, Nosten, Francois, Onyamboko, Marie, Phyo, Aung Pyae, Ramharter, Michael, Rosenthal, Philip J, Schramm, Birgit, Sharma, Yagya D, Sirima, Sodiomon B, Strub-Wourgaft, Nathalie, Sylla, Khadime, Talisuna, Ambrose O, Temu, Emmanuel A, Thwing, Julie I, Tinto, Halidou, Valentini, Giovanni, White, Nicholas J, Yeka, Adoke, Isanaka, Sheila, Barnes, Karen I, and Guerin, Philippe J
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- 2024
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7. Effectiveness of preventive treatment among different age groups and Mycobacterium tuberculosisinfection status: a systematic review and individual-participant data meta-analysis of contact tracing studies
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Martinez, Leonardo, Seddon, James A, Horsburgh, C Robert, Lange, Christoph, Mandalakas, Anna M, Martinez, Leonardo, Seddon, James, Liu, Qiao, Acuna Villaorduna, Carlos, Bonnet, Maryline, Carvalho, Anna Cristina C., Chan, Pei-Chun, Hill, Philip C, Lopez-Varela, Elisa, Donkor, Simon, Graham, Stephen M., Villalba, Julian A., Grandjean, Louis, Zellweger, Jean-Pierre, Wang, Jann-Yuan, Verhagen, Lilly M, van Schalkwykn, Cari, van der Loeff, Maarten F Schim, Sloot, Rosa, Trieu, Lisa, Ahuja, Shama Desai, Yoshiyama, Takashi, Mazahir, Rufaida, Martinsonn, Neil A, Jones-López, Edward C., Altet, Neus, Kato, Seiya, Fang, Chi-Tai, Geis, Steffen, Hauri, Anja, Long, Richard, Dobler, Claudia C, Cayla, Joan A, Chakhaia, Tsira, Chen, Cheng, García-Basteiro, Alberto L., Triasih, Rina, Huang, Li-Min, Sharma, Surendra, Hannoun, Djohar, Malone, LaShaunda L., Ling, Du-Lin, Kritski, Afrânio, Stein, Catherine M., Malik, Amyn A, Augusto, Orvalho, Vashishtha, Richa, Boulahbal, Fadila, Boom, W. Henry, Shen, Ye, Hesseling, Anneke C, Horsburgh, C. Robert, Lange, Christoph, and Mandalakas, Anna M.
- Abstract
Tuberculosis is a preventable disease. However, there is debate regarding which individuals would benefit most from tuberculosis preventive treatment and whether these benefits vary in settings with a high burden and low burden of tuberculosis. We aimed to compare the effectiveness of tuberculosis preventive treatment in exposed individuals of differing ages and Mycobacterium tuberculosisinfection status while considering tuberculosis burden of the settings.
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- 2024
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8. A Global Tuberculosis Dictionary: unified terms and definitions for the field of tuberculosis
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Garcia-Basteiro, Alberto L, Ehrlich, Joanna, Bonnet, Maryline, Calnan, Marianne, Graham, Stephen M, Hermans, Sabine, Jarrett, Adriana, Lewa, Rhoda, Mandalakas, Anna, Martinez, Leonardo, Migliori, Giovanni Battista, Ong, Catherine W M, Otero, Larissa, Rangaka, Molebogeng Xheedha, Raviglione, Mario C B, Seaworth, Barbara, Ssengooba, Willy, Theron, Grant, Trajman, Anete, and Behr, Marcel A
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- 2024
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9. Association of indicators of extensive disease and rifampin- resistant tuberculosis treatment outcomes: an individual participant data meta- analysis.
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Campbell, Jonathon R., Brode, Sarah K., Barry, Pennan, Bastos, Mayara Lisboa, Bonnet, Maryline, Guglielmetti, Lorenzo, Kempker, Russell, Klimuk, Dzmitry, Laborín, Rafael Laniado, Milanov, Vladimir, Singla, Rupak, Skrahina, Alena, Trajman, Anete, van der Werf, Tjip S., Viiklepp, Piret, and Menzies, Dick
- Subjects
TREATMENT effectiveness ,TUBERCULOSIS ,DATA analysis ,IMMUNE reconstitution inflammatory syndrome - Published
- 2024
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10. Implementation of digital chest radiography for childhood tuberculosis diagnosis at district hospital level in six high tuberculosis burden and resources limited countries.
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Melingui BF, Basant J, Taguebue JV, Massom DM, Leroy Terquem E, Norval PY, Salomao A, Dim B, Tek CE, Borand L, Khosa C, Moh R, Mwanga-Amumpere J, Eang MT, Manhiça I, Mustapha A, Balestre E, Beneteau S, Wobudeya E, Marcy O, Orne-Gliemann J, and Bonnet M
- Abstract
Objectives: Chest x-ray (CXR) plays an important role in childhood tuberculosis (TB) diagnosis, but access to quality CXR remains a major challenge in resource-limited settings. Digital CXR (d-CXR) can solve some image quality issues and facilitate their transfer for quality control. We assess the implementation of introducing d-CXR in 12 district hospitals (DHs) in 2021-2022 across Cambodia, Cameroon, Ivory Coast, Mozambique, Sierra Leone and Uganda as part of the TB-speed decentralisation study on childhood TB diagnosis., Methods: For digitisation of CXR, digital radiography (DR) plates were setup on existing analogue radiography devices. d-CXR were transferred to an international server at Bordeaux University and downloaded by sites' clinicians for interpretation. We assessed the uptake and performance of CXR services and health care workers' (HCW) perceptions of d-CXR implementation. We used a convergent mixed method approach utilising process data, individual interviews with 113 HCWs involved in performing or interpreting d-CXRs and site support supervision reports., Results: Of 3104 children with presumptive TB, 1642 (52.9%) had at least one d-CXR, including 1505, 136 and 1 children with one, two and three d-CXRs, respectively, resulting in a total of 1780 d-CXR. Of them, 1773 (99.6%) were of good quality and 1772/1773 (99.9%) were interpreted by sites' clinicians. One hundred and sixty-four children had no d-CXR performed despite attending the radiography department: 126, 37 and 1 with one, two and three attempts, respectively. d-CXRs were not performed in 21.6% (44/203) due to connectivity problem between the DR plate captor and the computer. HCW reported good perceptions of d-CXR and of the DR plates provided. The main challenge was the upload to and download from the server of d-CXRs due to limited internet access., Conclusion: d-CXR using DR plates was feasible at DH level and provided good quality images but required overcoming operational challenges., (© 2024 The Authors Tropical Medicine & International Health published by John Wiley & Sons Ltd.)
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- 2024
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11. Development of tuberculosis treatment decision algorithms in children below 5 years hospitalised with severe acute malnutrition in Zambia and Uganda: a prospective diagnostic cohort study.
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Chabala C, Roucher C, Ton Nu Nguyet MH, Babirekere E, Inambao M, Businge G, Kapula C, Shankalala P, Nduna B, Mulenga V, Graham S, Wobudeya E, Bonnet M, and Marcy O
- Abstract
Background: In children with severe acute malnutrition (SAM) tuberculosis is common, challenging to diagnose, and often fatal. We developed tuberculosis treatment decision algorithms (TDAs) for children under the age of 5 years with SAM., Methods: In this prospective diagnostic study, we enrolled and followed up children aged <60 months hospitalised with SAM at three tertiary hospitals in Zambia and Uganda from 4 November 2019 to 20 June 2022. We included children aged 2-59 months with SAM as defined by WHO and hospitalised following the WHO clinical criteria. We excluded children with current or history of antituberculosis treatment within the preceding 3 months. They underwent tuberculosis symptom screening, clinical assessment, chest X-ray, abdominal ultrasound, Xpert MTB/RIF Ultra (Ultra) and culture on respiratory and stool samples with 6 months follow-up. Tuberculosis was retrospectively defined using the 2015 standard case definition for childhood tuberculosis. We used logistic regression to develop diagnostic prediction models for a one-step diagnosis and a two-step screening and diagnostic approaches. We derived scores from models using WHO-recommended thresholds for sensitivity and proposed TDAs. This study is registered with ClinicalTrials.gov, NCT04240990., Findings: Of 1906 children hospitalised with SAM during the study period, 1230 were screened, 1152 were eligible and 603 were enrolled. Of the 603 children enrolled-median age 15 (inter-quartile range (IQR): 11-20) months and 65 (11.0%) living with HIV-114 (18.9%) were diagnosed with tuberculosis, including 51 (8.5%) with microbiological confirmation and 104 (17.2%) initiated treatment at a median of 6(IQR: 2-10) days after inclusion. 108 children were retrospectively classified as having tuberculosis resulting in a prevalence of 17.9% (95% confidence intervals (CI): 15.1; 21.2). 75 (69.4%) children with tuberculosis reported cough of any duration, 32 (29.6%) cough ≥2 weeks and 11 (10.2%) tuberculosis contact history. 535 children had complete data and were included in the diagnostic prediction model. The one-step diagnostic model had 15 predictors, including Ultra, clinical, radiographic, and abdominal features, an area under the receiving operating curve (AUROC) of 0.910, and derived TDA sensitivity of 86.14% (95% CI: 78.07-91.56) and specificity of 80.88% (95% CI: 76.91-84.30). The two-step model had AUROCs of 0.750 and 0.912 for screening and diagnosis, respectively, and derived combined TDA sensitivity of 79.21% (95% CI: 70.30-85.98) and a specificity of 83.64% (95% CI: 79.87-86.82)., Interpretation: Tuberculosis prevalence was high among hospitalised children with SAM, with atypical clinical features. TDAs achieved satisfactory diagnostic accuracy and could be used to improve diagnosis in this vulnerable group., Funding: Unitaid., Competing Interests: All authors declare no competing interests., (© 2024 The Author(s).)
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- 2024
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12. Integration of HIV Testing in a Community Intervention for Tuberculosis Screening Among Household Contacts of Patients with Tuberculosis in Cameroon and Uganda.
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Tchakounte Youngui B, Atwine D, Otai D, Vasiliu A, Ssekyanzi B, Sih C, Kana R, Arinaitwe R, Cuer B, Simo L, Okello R, Tchendjou P, Casenghi M, Kuate AK, Turyahabwe S, Cohn J, Bonnet M, and Tchounga BK
- Subjects
- Adult, Child, Humans, Uganda epidemiology, Cameroon epidemiology, Mass Screening methods, HIV Testing, Contact Tracing methods, HIV Infections diagnosis, HIV Infections epidemiology, HIV Infections complications, Tuberculosis diagnosis, Tuberculosis epidemiology, Tuberculosis prevention & control
- Abstract
Introduction: People living with HIV are considered at higher risk of developing severe forms of tuberculosis (TB) disease. Providing HIV testing to TB-exposed people is therefore critical. We present the results of integrating HIV testing into a community-based intervention for household TB contact management in Cameroon and Uganda., Methods: Trained community health workers visited the households of index patients with TB identified in 3 urban/semiurban and 6 rural districts or subdistricts as part of a cluster-randomized trial and provided TB screening to all household contacts. Voluntary HIV counseling and testing were offered to contacts aged 5 years or older with unknown HIV status. We describe the cascade of care for HIV testing and the factors associated with the acceptance of HIV testing., Results: Overall, 1983 household contacts aged 5 years or older were screened for TB. Of these contacts, 1652 (83.3%) did not know their HIV status, 1457 (88.2%) accepted HIV testing, and 1439 (98.8%) received testing. HIV testing acceptance was lower among adults than children [adjusted odds ratio (aOR) = 0.35, 95% confidence interval (CI): 0.22 to 0.55], those living in household of an HIV-positive vs HIV-negative index case (aOR = 0.56, 95% CI: 0.38 to 0.83), and contacts requiring a reassessment visit after the initial TB screening visit vs asymptomatic contacts (aOR = 0.20, 95% CI: 0.06 to 0.67) and was higher if living in Uganda vs Cameroon (aOR = 4.54, 95% CI: 1.17 to 17.62) or if another contact of the same index case was tested for HIV (aOR = 9.22, 95% CI: 5.25 to 16.18)., Conclusion: HIV testing can be integrated into community-based household TB contact screening and is well-accepted., Competing Interests: The authors have no funding or conflicts of interest to disclose., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2024
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13. Cost-effectiveness and budget impact of decentralising childhood tuberculosis diagnosis in six high tuberculosis incidence countries: a mathematical modelling study.
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d'Elbée M, Harker M, Mafirakureva N, Nanfuka M, Huyen Ton Nu Nguyet M, Taguebue JV, Moh R, Khosa C, Mustapha A, Mwanga-Amumpere J, Borand L, Nolna SK, Komena E, Cumbe S, Mugisha J, Natukunda N, Mao TE, Wittwer J, Bénard A, Bernard T, Sohn H, Bonnet M, Wobudeya E, Marcy O, and Dodd PJ
- Abstract
Background: The burden of childhood tuberculosis remains high globally, largely due to under-diagnosis. Decentralising childhood tuberculosis diagnosis services to lower health system levels could improve case detection, but there is little empirically based evidence on cost-effectiveness or budget impact., Methods: In this mathematical modelling study, we assessed the cost-effectiveness and budget impact of decentralising a comprehensive diagnosis package for childhood tuberculosis to district hospitals (DH-focused) or primary health centres (PHC-focused) compared to standard of care (SOC). The project was conducted in Cambodia, Cameroon, Côte d'Ivoire, Mozambique, Sierra Leone, and Uganda between August 1st, 2018 and September 30th, 2021. A mathematical model was developed to assess the health and economic outcomes of the intervention from a health system perspective. Estimated outcomes were tuberculosis cases, deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (ICERs). We also calculated the budget impact of nationwide implementation. The TB-Speed Decentralization study is registered with ClinicalTrials.gov, NCT04038632., Findings: For the DH-focused strategy versus SOC, ICERs ranged between $263 (Cambodia) and $342 (Côte d'Ivoire) per DALY averted. For the PHC-focused strategy versus SOC, ICERs ranged between $477 (Cambodia) and $599 (Côte d'Ivoire) per DALY averted. Results were sensitive to TB prevalence and the discount rate used. The additional costs of implementing the DH-focused strategy ranged between $12.8 M (range 10.8-16.4) (Cambodia) and $50.4 M (36.5-74.4) (Mozambique), and between $13.9 M (12.6-15.6) (Sierra Leone) and $134.6 M (127.1-143.0) (Uganda) for the PHC-focused strategy., Interpretation: The DH-focused strategy may be cost-effective in some countries, depending on the cost-effectiveness threshold used for policy making. Either intervention would require substantial early investment., Funding: Unitaid., Competing Interests: MH was paid as a subcontractor by the University of Bordeaux from the Unitaid grant for the TB-Speed programme. MB is employed by the Institut de Recherche pour le Développement (TransVIHMI) who received Unitaid funds in relation to this study. MB is the chair of the board of Epicentre since November 9th, 2022, which was a third party in the TB-Speed project who received funds from Unitaid, but MB did not receive any payment for this activity. PD is subcontracted on the Unitaid grant through the partnership between the University of Bordeaux and the University of Sheffield. All other authors declare no competing interests., (© 2024 The Authors.)
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- 2024
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14. Effect of decentralising childhood tuberculosis diagnosis to primary health centre versus district hospital levels on disease detection in children from six high tuberculosis incidence countries: an operational research, pre-post intervention study.
- Author
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Wobudeya E, Nanfuka M, Ton Nu Nguyet MH, Taguebue JV, Moh R, Breton G, Khosa C, Borand L, Mwanga-Amumpaire J, Mustapha A, Nolna SK, Komena E, Mugisha JR, Natukunda N, Dim B, de Lauzanne A, Cumbe S, Balestre E, Poublan J, Lounnas M, Ngu E, Joshi B, Norval PY, Terquiem EL, Turyahabwe S, Foray L, Sidibé S, Albert KK, Manhiça I, Sekadde M, Detjen A, Verkuijl S, Mao TE, Orne-Gliemann J, Bonnet M, and Marcy O
- Abstract
Background: Childhood tuberculosis (TB) remains underdiagnosed largely because of limited awareness and poor access to all or any of specimen collection, molecular testing, clinical evaluation, and chest radiography at low levels of care. Decentralising childhood TB diagnostics to district hospitals (DH) and primary health centres (PHC) could improve case detection., Methods: We conducted an operational research study using a pre-post intervention cross-sectional study design in 12 DHs and 47 PHCs of 12 districts across Cambodia, Cameroon, Côte d'Ivoire, Mozambique, Sierra Leone and Uganda. The intervention included 1) a comprehensive diagnosis package at patient-level with tuberculosis screening for all sick children and young adolescents <15 years, and clinical evaluation, Xpert Ultra-testing on respiratory and stool samples, and chest radiography for children with presumptive TB, and 2) two decentralisation approaches (PHC-focused or DH-focused) to which districts were randomly allocated at country level. We collected aggregated and individual data. We compared the proportion of tuberculosis detection in children and young adolescents <15 years pre-intervention (01 August 2018-30 November 2019) versus during intervention (07 March 2020-30 September 2021), overall and by decentralisation approach. This study is registered with ClinicalTrials.gov, NCT04038632., Findings: TB was diagnosed in 217/255,512 (0.08%) children and young adolescent <15 years attending care pre-intervention versus 411/179,581 (0.23%) during intervention, (OR: 3.59 [95% CI 1.99-6.46], p-value<0.0001; p-value = 0.055 after correcting for over-dispersion). In DH-focused districts, TB diagnosis was 80/122,570 (0.07%) versus 302/86,186 (0.35%) (OR: 4.07 [1.86-8.90]; p-value = 0.0005; p-value = 0.12 after correcting for over-dispersion); and 137/132,942 (0.10%) versus 109/93,395 (0.11%) in PHC-focused districts, respectively (OR: 2.92 [1.25-6.81; p-value = 0.013; p-value = 0.26 after correcting for over-dispersion)., Interpretation: Decentralising and strengthening childhood TB diagnosis at lower levels of care increases tuberculosis case detection but the difference was not statistically significant., Funding Source: Unitaid, Grant number 2017-15-UBx-TB-SPEED., Competing Interests: All authors declare no competing interests., (© 2024 World Health Organization.)
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- 2024
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