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1. COVID-19 among adults living with HIV: correlates of mortality among public sector healthcare users in Western Cape, South Africa

Author

Kassanjee, Reshma, Davies, Mary-Ann, Ngwenya, Olina, Osei-Yeboah, Richard, Jacobs, Theuns, Morden, Erna, Timmerman, Venessa, Britz, Stefan, Mendelson, Marc, Taljaard, Jantjie, Riou, Julien, Boulle, Andrew, Tiffin, Nicki, and Zinyakatira, Nesbert

Subjects
South Africa, SARS-CoV-2, 360 Social problems & social services, HIV, COVID-19, 610 Medicine & health, CD4 count, mortality
Abstract

Introduction While a large proportion of people with HIV (PWH) have experienced SARS-CoV-2 infections, there is uncertainty about the role of HIV disease severity on COVID-19 outcomes, especially in lower-income settings. We studied the association of mortality with characteristics of HIV severity and management, and vaccination, among adult PWH. Methods We analysed observational cohort data on all PWH aged ≥15 years experiencing a diagnosed SARS-CoV-2 infection (until March 2022), who accessed public sector healthcare in the Western Cape province of South Africa. Logistic regression was used to study the association of mortality with evidence of antiretroviral therapy (ART) collection, time since first HIV evidence, CD4 cell count, viral load (among those with evidence of ART collection) and COVID-19 vaccination, adjusting for demographic characteristics, comorbidities, admission pressure, location and time period. Results Mortality occurred in 5.7% (95% CI: 5.3,6.0) of 17,831 first-diagnosed infections. Higher mortality was associated with lower recent CD4, no evidence of ART collection, high or unknown recent viral load and recent first HIV evidence, differentially by age. Vaccination was protective. The burden of comorbidities was high, and tuberculosis (especially more recent episodes of tuberculosis), chronic kidney disease, diabetes and hypertension were associated with higher mortality, more strongly in younger adults. Conclusions Mortality was strongly associated with suboptimal HIV control, and the prevalence of these risk factors increased in later COVID-19 waves. It remains a public health priority to ensure PWH are on suppressive ART and vaccinated, and manage any disruptions in care that occurred during the pandemic. The diagnosis and management of comorbidities, including for tuberculosis, should be optimized.

Published
2023

4. Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa

Author

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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