4 results on '"Tembo, Yamanya"'
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2. The interface between SARS-CoV-2 and non-communicable diseases (NCDs) in a high HIV/TB burden district level hospital setting, Cape Town, South Africa
- Author
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Mnguni, Ayanda Trevor, primary, Schietekat, Denzil, additional, Ebrahim, Nabilah, additional, Sonday, Nawhaal, additional, Boliter, Nicholas, additional, Schrueder, Neshaad, additional, Gabriels, Shiraaz, additional, Cois, Annibale, additional, Tamuzi, Jacques L., additional, Tembo, Yamanya, additional, Davies, Mary-Ann, additional, English, Rene, additional, and Nyasulu, Peter S., additional
- Published
- 2023
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3. The epidemiological and clinical characteristics of COVID-19 in a high HIV/TB burden district level hospital setting
- Author
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Mnguni, Ayanda Trevor, primary, Schietekat, Denzil, additional, Ebrahim, Nabilah, additional, Sonday, Nawhaal, additional, Boliter, Nicholas, additional, Schrueder, Neshaad, additional, Gabriels, Shiraaz, additional, Sigwadhi, Lovemore N., additional, Zemlin, Annalise E., additional, Chapanduka, Zivanai C., additional, Ngah, Vera, additional, Yalew, Anteneh, additional, Jalavu, Thumeka, additional, Abdullah, Ibtisam, additional, Tamuzi, Jacques L., additional, London, Leslie, additional, Naledi, Tracey, additional, Tembo, Yamanya, additional, Davies, Mary-Ann, additional, Nyasulu, Peter S., additional, and English, Rene, additional
- Published
- 2022
- Full Text
- View/download PDF
4. Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa
- Author
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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
- Subjects
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.
- Published
- 2021
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