6 results on '"Naidoo, Lenny"'
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2. Additional file 1 of A systematic review of risk factors for mortality among tuberculosis patients in South Africa
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Nicholson, Tamaryn J, Hoddinott, Graeme, Seddon, James A, Claassens, Mareli M, van der Zalm, Marieke M, Lopez, Elisa, Bock, Peter, Caldwell, Judy, Da Costa, Dawood, de Vaal, Celeste, Dunbar, Rory, Du Preez, Karen, Hesseling, Anneke C, Joseph, Kay, Kriel, Ebrahim, Loveday, Marian, Marx, Florian M, Meehan, Sue-Ann, Purchase, Susan, Naidoo, Kogieleum, Naidoo, Lenny, Solomon-Da Costa, Fadelah, Sloot, Rosa, and Osman, Muhammad
- Abstract
Additional file 1: Supplementary material. Description of data: Complete list of outcomes and variables for which data were sought; PRISMA 2020 checklist. Supplementary Table 1. Newcastle-Ottawa quality assessment scale for cohort studies, South Africa, 2010-2018 (n=21). Supplementary Table 2. Cochrane risk of bias tool for randomised trials, South Africa, 2010-2018 (n=2). Supplementary Table 3. Newcastle-Ottawa quality assessment scale for case control studies, South Africa, 2010-2018 (n=1). Supplementary Table 4. Demographic risk factors for TB mortality. Supplementary Table 5. Clinical risk factors for TB mortality, South Africa, 2010-2018. Supplementary Table 6. Tuberculosis treatment-related risk factors for TB mortality, South Africa, 2010-2018. Supplementary Table 7. HIV and antiretroviral therapy related risk factors for TB mortality, South Africa, 2010-2018.
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- 2023
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3. Priority Activities in Child and Adolescent Tuberculosis to Close the Policy-Practice Gap in Low- and Middle-Income Countries
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du Preez, Karen, primary, Gabardo, Betina Mendez Alcântara, additional, Kabra, Sushil K., additional, Triasih, Rina, additional, Lestari, Trisasi, additional, Kal, Margaret, additional, Tsogt, Bazarragchaa, additional, Dorj, Gantsetseg, additional, Purev, Enkhtsetseg, additional, Nguyen, Thu Anh, additional, Naidoo, Lenny, additional, Mvusi, Lindiwe, additional, Schaaf, Hendrik Simon, additional, Hesseling, Anneke C., additional, de Oliveira Rossoni, Andrea Maciel, additional, Carvalho, Anna Cristina Calçada, additional, Cardoso, Claudete Aparecida Araújo, additional, Sant’Anna, Clemax Couto, additional, Orti, Danielle Gomes Dell’, additional, Costa, Fernanda Dockhorn, additional, Vega, Liliana Romero, additional, Sant’Anna, Maria de Fátima Pombo, additional, Hoa, Nguyen Binh, additional, Phuc, Phan Huu, additional, Fiogbe, Attannon Arnauld, additional, Affolabi, Dissou, additional, Badoum, Gisèle, additional, Ouédraogo, Abdoul Risgou, additional, Saouadogo, Tandaogo, additional, Combary, Adjima, additional, Kuate Kuate, Albert, additional, Prudence, Bisso Ngono Annie, additional, Magassouba, Aboubakar Sidiki, additional, Bangoura, Adama Marie, additional, Soumana, Alphazazi, additional, Hermana, Georges, additional, Gando, Hervé, additional, Fall, Nafissatou, additional, Gning, Barnabé, additional, Dogo, Mohammed Fall, additional, Mbitikon, Olivia, additional, Deffense, Manon, additional, Zimba, Kevin, additional, Chabala, Chishala, additional, Sekadde, Moorine Penninah, additional, Luzze, Henry, additional, Turyahabwe, Stavia, additional, Dongo, John Paul, additional, Lopes, Constantino, additional, dos Santos, Milena, additional, Francis, Joshua Reginald, additional, Arango-Loboguerrero, Magnolia, additional, Perez-Velez, Carlos M., additional, Koura, Kobto Ghislain, additional, and Graham, Stephen M., additional
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- 2022
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4. Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa
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Boulle, Andrew, Davies, Mary-Ann, Hussey, Hannah, Ismail, Muzzammil, Morden, Erna, Vundle, Ziyanda, Zweigenthal, Virginia, Mahomed, Hassan, Paleker, Masudah, Pienaar, David, Tembo, Yamanya, Lawrence, Charlene, Isaacs, Washiefa, Mathema, Hlengani, Allen, Derick, Allie, Taryn, Bam, Jamy-Lee, Buddiga, Kasturi, Dane, Pierre, Heekes, Alexa, Matlapeng, Boitumelo, Mutemaringa, Themba, Muzarabani, Luckmore, Phelanyane, Florence, Pienaar, Rory, Rode, Catherine, Smith, Mariette, Tiffin, Nicki, Zinyakatira, Nesbert, Cragg, Carol, Marais, Frederick, Mudaly, Vanessa, Voget, Jacqueline, Davids, Jody, Roodt, Francois, van Zyl Smit, Nellis, Vermeulen, Alda, Adams, Kevin, Audley, Gordon, Bateman, Kathleen, Beckwith, Peter, Bernon, Marc, Blom, Dirk, Boloko, Linda, Botha, Jean, Boutall, Adam, Burmeister, Sean, Cairncross, Lydia, Calligaro, Gregory, Coccia, Cecilia, Corin, Chadwin, Daroowala, Remy, Dave, Joel A, De Bruyn, Elsa, De Villiers, Martin, Deetlefs, Mimi, Dlamini, Sipho, Du Toit, Thomas, Endres, Wilhelm, Europa, Tarin, Fieggan, Graham, Figaji, Anthony, Frankenfeld, Petro, Gatley, Elizabeth, Gina, Phindile, Govender, Evashan, Grobler, Rochelle, Gule, Manqoba Vusumuzi, Hanekom, Christoff, Held, Michael, Heynes, Alana, Hlatswayo, Sabelo, Hodkinson, Bridget, Holtzhausen, Jeanette, Hoosain, Shakeel, Jacobs, Ashely, Kahn, Miriam, Kahn, Thania, Khamajeet, Arvin, Khan, Joubin, Khan, Riaasat, Khwitshana, Alicia, Knight, Lauren, Kooverjee, Sharita, Krogscheepers, Rene, Kruger, Jean Jacque, Kuhn, Suzanne, Laubscher, Kim, Lazarus, John, Le Roux, Jacque, Lee Jones, Scott, Levin, Dion, Maartens, Gary, Majola, Thina, Manganyi, Rodgers, Marais, David, Marais, Suzaan, Maritz, Francois, Maughan, Deborah, Mazondwa, Simthandile, Mbanga, Luyanda, Mbatani, Nomonde, Mbena, Bulewa, Meintjes, Graeme, Mendelson, Marc, Möller, Ernst, Moore, Allison, Ndebele, Babalwa, Nortje, Marc, Ntusi, Ntobeko, Nyengane, Funeka, Ofoegbu, Chima, Papavarnavas, Nectarios, Peter, Jonny, Pickard, Henri, Pluke, Kent, Raubenheimer, Peter J, Robertson, Gordon, Rozmiarek, Julius, Sayed, A, Scriba, Matthias, Sekhukhune, Hennie, Singh, Prasun, Smith, Elsabe, Soldati, Vuyolwethu, Stek, Cari, van den berg, Robert, van der Merwe, Le Roux, Venter, Pieter, Vermooten, Barbra, Viljoen, Gerrit, Viranna, Santhuri, Vogel, Jonno, Vundla, Nokubonga, Wasserman, Sean, Zitha, Eddy, Lomas-Marais, Vanessa, Lombard, Annie, Stuve, Katrin, Viljoen, Werner, Basson, De Vries, Le Roux, Sue, Linden-Mars, Ethel, Victor, Lizanne, Wates, Mark, Zwanepoel, Elbe, Ebrahim, Nabilah, Lahri, Sa’ad, Mnguni, Ayanda, Crede, Thomas, de Man, Martin, Evans, Katya, Hendrikse, Clint, Naude, Jonathan, Parak, Moosa, Szymanski, Patrick, Van Koningsbruggen, Candice, Abrahams, Riezaah, Allwood, Brian, Botha, Christoffel, Botha, Matthys Henndrik, Broadhurst, Alistair, Claasen, Dirkie, Daniel, Che, Dawood, Riyaadh, du Preez, Marie, Du Toit, Nicolene, Erasmus, Kobie, Koegelenberg, Coenraad F N, Gabriel, Shiraaz, Hugo, Susan, Jardine, Thabiet, Johannes, Clint, Karamchand, Sumanth, Lalla, Usha, Langenegger, Eduard, Louw, Eize, Mashigo, Boitumelo, Mhlana, Nonte, Mnqwazi, Chizama, Moodley, Ashley, Moodley, Desiree, Moolla, Saadiq, Mowlana, Abdurasiet, Nortje, Andre, Olivier, Elzanne, Parker, Arifa, Paulsen, Chané, Prozesky, Hans, Rood, Jacques, Sabela, Tholakele, Schrueder, Neshaad, Sithole, Nokwanda, Sithole, Sthembiso, Taljaard, Jantjie J, Titus, Gideon, Van Der Merwe, Tian, van Schalkwyk, Marije, Vazi, Luthando, Viljoen, Abraham J, Yazied Chothia, Mogamat, Naidoo, Vanessa, Wallis, Lee Alan, Abbass, Mumtaz, Arendse, Juanita, Armien, Rizqa, Bailey, Rochelle, Bello, Muideen, Carelse, Rachel, Forgus, Sheron, Kalawe, Nosi, Kariem, Saadiq, Kotze, Mariska, Lucas, Jonathan, McClaughlin, Juanita, Murie, Kathleen, Najjaar, Leilah, Petersen, Liesel, Porter, James, Shaw, Melanie, Stapar, Dusica, Williams, Michelle, Aldum, Linda, Berkowitz, Natacha, Girran, Raakhee, Lee, Kevin, Naidoo, Lenny, Neumuller, Caroline, Anderson, Kim, Begg, Kerrin, Boerlage, Lisa, Cornell, Morna, de Waal, Renée, Dudley, Lilian, English, René, Euvrard, Jonathan, Groenewald, Pam, Jacob, Nisha, Jaspan, Heather, Kalk, Emma, Levitt, Naomi, Malaba, Thoko, Nyakato, Patience, Patten, Gabriela, Schneider, Helen, Shung King, Maylene, Tsondai, Priscilla, Van Duuren, James, van Schaik, Nienke, Blumberg, Lucille, Cohen, Cheryl, Govender, Nelesh, Jassat, Waasila, Kufa, Tendesayi, McCarthy, Kerrigan, Morris, Lynn, Hsiao, Nei-yuan, Marais, Ruan, Ambler, Jon, Ngwenya, Olina, Osei-Yeboah, Richard, Johnson, Leigh, Kassanjee, Reshma, and Tamuhla, Tsaone
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sub-Saharan Africa ,0301 basic medicine ,Microbiology (medical) ,Adult ,Male ,Tuberculosis ,antiretroviral ,030106 microbiology ,Population ,HIV Infections ,HIV Infections/complications ,Cohort Studies ,South Africa ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Major Article ,Medicine ,Humans ,030212 general & internal medicine ,education ,Proportional Hazards Models ,education.field_of_study ,South Africa/epidemiology ,business.industry ,Proportional hazards model ,SARS-CoV-2 ,Hazard ratio ,HIV ,Correction ,COVID-19 ,medicine.disease ,Confidence interval ,AcademicSubjects/MED00290 ,Infectious Diseases ,Standardized mortality ratio ,tuberculosis ,Attributable risk ,business ,Viral load ,Demography - Abstract
Background Risk factors for coronavirus disease 2019 (COVID-19) death in sub-Saharan Africa and the effects of human immunodeficiency virus (HIV) and tuberculosis on COVID-19 outcomes are unknown. Methods We conducted a population cohort study using linked data from adults attending public-sector health facilities in the Western Cape, South Africa. We used Cox proportional hazards models, adjusted for age, sex, location, and comorbidities, to examine the associations between HIV, tuberculosis, and COVID-19 death from 1 March to 9 June 2020 among (1) public-sector “active patients” (≥1 visit in the 3 years before March 2020); (2) laboratory-diagnosed COVID-19 cases; and (3) hospitalized COVID-19 cases. We calculated the standardized mortality ratio (SMR) for COVID-19, comparing adults living with and without HIV using modeled population estimates. Results Among 3 460 932 patients (16% living with HIV), 22 308 were diagnosed with COVID-19, of whom 625 died. COVID-19 death was associated with male sex, increasing age, diabetes, hypertension, and chronic kidney disease. HIV was associated with COVID-19 mortality (adjusted hazard ratio [aHR], 2.14; 95% confidence interval [CI], 1.70–2.70), with similar risks across strata of viral loads and immunosuppression. Current and previous diagnoses of tuberculosis were associated with COVID-19 death (aHR, 2.70 [95% CI, 1.81–4.04] and 1.51 [95% CI, 1.18–1.93], respectively). The SMR for COVID-19 death associated with HIV was 2.39 (95% CI, 1.96–2.86); population attributable fraction 8.5% (95% CI, 6.1–11.1). Conclusions While our findings may overestimate HIV- and tuberculosis-associated COVID-19 mortality risks due to residual confounding, both living with HIV and having current tuberculosis were independently associated with increased COVID-19 mortality. The associations between age, sex, and other comorbidities and COVID-19 mortality were similar to those in other settings.
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- 2021
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5. Wood chip exports and the challenges faced by private pulpwood farmers in Southern KwaZulu-Natal
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Naidoo, Lenny, primary and Chasomeris, Mihalis, additional
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- 2013
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6. Navigating complex care pathways-healthcare workers' perspectives on health system barriers for children with tuberculous meningitis in Cape Town, South Africa.
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Baloyi DP, Myburgh H, Bester D, Anthony MG, Switala J, Schaaf HS, Naidoo L, Solomons R, Nuttall J, Murray J, Rohlwink U, Figaji A, Hoddinott G, and Du Preez K
- Abstract
Tuberculous meningitis (TBM) occurs when tuberculosis (TB) bacilli disseminate and seed into the meninges, triggering a severe inflammatory response that often leads to brain infarction. It is the most severe and debilitating form of childhood TB with high mortality, and children who survive TBM often suffer lifelong physical and neuro-disability resulting in emotional, social, and economic burdens for families. In the early stages the symptoms may be non-specific and so the diagnosis is often made late when the patient already has significant brain injury. To facilitate earlier diagnosis, it is important to understand how patients are evaluated. This study aimed to chart health systems for paediatric TBM care at both primary healthcare (PHC) and hospital level in Cape Town, South Africa. We conducted fourteen in-depth interviews and eight days of semi-structured observations of patient flow across eight healthcare facilities. We found that children with TBM navigate multiple levels of care categorised into pre-admission and primary care, hospital admission and inpatient care, and post-discharge follow-up care. Healthcare workers identified the following health system barriers along the TBM care pathway for children: limited post-training and mentorship opportunities to manage TBM, overburdened facilities, time constraints, lack of recognition of TBM symptoms, delays in referral between PHC and hospital, lack of standardized diagnostic algorithms, limited diagnostic tests and a lack of child-friendly, easy-to-administer treatment. Regular and compulsory training on TB and TBM in children, including continuous mentoring and support to healthcare workers working in child health and TB services in high TB-burden settings, can facilitate early recognition of symptoms and rapid referral for diagnosis. Algorithms outlining referral criteria for patients with possible TBM at both PHC facilities and district level hospitals can guide healthcare providers and facilitate timely referral between different levels of healthcare services. An integrated data system and alert functions could flag multiple healthcare visits and improve communication between different healthcare facilities during diagnosis and treatment. Children and families affected by TBM are an especially vulnerable sub-population requiring high priority attention and support., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Patience Baloyi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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