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Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study
BACKGROUND: The first wave of COVID-19 in South Africa peaked in July, 2020, and a larger second wave peaked in January, 2021, in which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality and other patient characteristics between the first and second waves....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270522/ https://www.ncbi.nlm.nih.gov/pubmed/34252381 http://dx.doi.org/10.1016/S2214-109X(21)00289-8 |
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author | Jassat, Waasila Mudara, Caroline Ozougwu, Lovelyn Tempia, Stefano Blumberg, Lucille Davies, Mary-Ann Pillay, Yogan Carter, Terence Morewane, Ramphelane Wolmarans, Milani von Gottberg, Anne Bhiman, Jinal N Walaza, Sibongile Cohen, Cheryl |
author_facet | Jassat, Waasila Mudara, Caroline Ozougwu, Lovelyn Tempia, Stefano Blumberg, Lucille Davies, Mary-Ann Pillay, Yogan Carter, Terence Morewane, Ramphelane Wolmarans, Milani von Gottberg, Anne Bhiman, Jinal N Walaza, Sibongile Cohen, Cheryl |
author_sort | Jassat, Waasila |
collection | PubMed |
description | BACKGROUND: The first wave of COVID-19 in South Africa peaked in July, 2020, and a larger second wave peaked in January, 2021, in which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality and other patient characteristics between the first and second waves. METHODS: In this prospective cohort study, we analysed data from the DATCOV national active surveillance system for COVID-19 admissions to hospital from March 5, 2020, to March 27, 2021. The system contained data from all hospitals in South Africa that have admitted a patient with COVID-19. We used incidence risk for admission to hospital and determined cutoff dates to define five wave periods: pre-wave 1, wave 1, post-wave 1, wave 2, and post-wave 2. We compared the characteristics of patients with COVID-19 who were admitted to hospital in wave 1 and wave 2, and risk factors for in-hospital mortality accounting for wave period using random-effect multivariable logistic regression. FINDINGS: Peak rates of COVID-19 cases, admissions, and in-hospital deaths in the second wave exceeded rates in the first wave: COVID-19 cases, 240·4 cases per 100 000 people vs 136·0 cases per 100 000 people; admissions, 27·9 admissions per 100 000 people vs 16·1 admissions per 100 000 people; deaths, 8·3 deaths per 100 000 people vs 3·6 deaths per 100 000 people. The weekly average growth rate in hospital admissions was 20% in wave 1 and 43% in wave 2 (ratio of growth rate in wave 2 compared with wave 1 was 1·19, 95% CI 1·18–1·20). Compared with the first wave, individuals admitted to hospital in the second wave were more likely to be age 40–64 years (adjusted odds ratio [aOR] 1·22, 95% CI 1·14–1·31), and older than 65 years (aOR 1·38, 1·25–1·52), compared with younger than 40 years; of Mixed race (aOR 1·21, 1·06–1·38) compared with White race; and admitted in the public sector (aOR 1·65, 1·41–1·92); and less likely to be Black (aOR 0·53, 0·47–0·60) and Indian (aOR 0·77, 0·66–0·91), compared with White; and have a comorbid condition (aOR 0·60, 0·55–0·67). For multivariable analysis, after adjusting for weekly COVID-19 hospital admissions, there was a 31% increased risk of in-hospital mortality in the second wave (aOR 1·31, 95% CI 1·28–1·35). In-hospital case-fatality risk increased from 17·7% in weeks of low admission (<3500 admissions) to 26·9% in weeks of very high admission (>8000 admissions; aOR 1·24, 1·17–1·32). INTERPRETATION: In South Africa, the second wave was associated with higher incidence of COVID-19, more rapid increase in admissions to hospital, and increased in-hospital mortality. Although some of the increased mortality can be explained by admissions in the second wave being more likely in older individuals, in the public sector, and by the increased health system pressure, a residual increase in mortality of patients admitted to hospital could be related to the new Beta lineage. FUNDING: DATCOV as a national surveillance system is funded by the National Institute for Communicable Diseases and the South African National Government. |
format | Online Article Text |
id | pubmed-8270522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82705222021-07-20 Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study Jassat, Waasila Mudara, Caroline Ozougwu, Lovelyn Tempia, Stefano Blumberg, Lucille Davies, Mary-Ann Pillay, Yogan Carter, Terence Morewane, Ramphelane Wolmarans, Milani von Gottberg, Anne Bhiman, Jinal N Walaza, Sibongile Cohen, Cheryl Lancet Glob Health Articles BACKGROUND: The first wave of COVID-19 in South Africa peaked in July, 2020, and a larger second wave peaked in January, 2021, in which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality and other patient characteristics between the first and second waves. METHODS: In this prospective cohort study, we analysed data from the DATCOV national active surveillance system for COVID-19 admissions to hospital from March 5, 2020, to March 27, 2021. The system contained data from all hospitals in South Africa that have admitted a patient with COVID-19. We used incidence risk for admission to hospital and determined cutoff dates to define five wave periods: pre-wave 1, wave 1, post-wave 1, wave 2, and post-wave 2. We compared the characteristics of patients with COVID-19 who were admitted to hospital in wave 1 and wave 2, and risk factors for in-hospital mortality accounting for wave period using random-effect multivariable logistic regression. FINDINGS: Peak rates of COVID-19 cases, admissions, and in-hospital deaths in the second wave exceeded rates in the first wave: COVID-19 cases, 240·4 cases per 100 000 people vs 136·0 cases per 100 000 people; admissions, 27·9 admissions per 100 000 people vs 16·1 admissions per 100 000 people; deaths, 8·3 deaths per 100 000 people vs 3·6 deaths per 100 000 people. The weekly average growth rate in hospital admissions was 20% in wave 1 and 43% in wave 2 (ratio of growth rate in wave 2 compared with wave 1 was 1·19, 95% CI 1·18–1·20). Compared with the first wave, individuals admitted to hospital in the second wave were more likely to be age 40–64 years (adjusted odds ratio [aOR] 1·22, 95% CI 1·14–1·31), and older than 65 years (aOR 1·38, 1·25–1·52), compared with younger than 40 years; of Mixed race (aOR 1·21, 1·06–1·38) compared with White race; and admitted in the public sector (aOR 1·65, 1·41–1·92); and less likely to be Black (aOR 0·53, 0·47–0·60) and Indian (aOR 0·77, 0·66–0·91), compared with White; and have a comorbid condition (aOR 0·60, 0·55–0·67). For multivariable analysis, after adjusting for weekly COVID-19 hospital admissions, there was a 31% increased risk of in-hospital mortality in the second wave (aOR 1·31, 95% CI 1·28–1·35). In-hospital case-fatality risk increased from 17·7% in weeks of low admission (<3500 admissions) to 26·9% in weeks of very high admission (>8000 admissions; aOR 1·24, 1·17–1·32). INTERPRETATION: In South Africa, the second wave was associated with higher incidence of COVID-19, more rapid increase in admissions to hospital, and increased in-hospital mortality. Although some of the increased mortality can be explained by admissions in the second wave being more likely in older individuals, in the public sector, and by the increased health system pressure, a residual increase in mortality of patients admitted to hospital could be related to the new Beta lineage. FUNDING: DATCOV as a national surveillance system is funded by the National Institute for Communicable Diseases and the South African National Government. The Author(s). Published by Elsevier Ltd. 2021-09 2021-07-09 /pmc/articles/PMC8270522/ /pubmed/34252381 http://dx.doi.org/10.1016/S2214-109X(21)00289-8 Text en © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Articles Jassat, Waasila Mudara, Caroline Ozougwu, Lovelyn Tempia, Stefano Blumberg, Lucille Davies, Mary-Ann Pillay, Yogan Carter, Terence Morewane, Ramphelane Wolmarans, Milani von Gottberg, Anne Bhiman, Jinal N Walaza, Sibongile Cohen, Cheryl Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title | Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title_full | Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title_fullStr | Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title_full_unstemmed | Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title_short | Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study |
title_sort | difference in mortality among individuals admitted to hospital with covid-19 during the first and second waves in south africa: a cohort study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270522/ https://www.ncbi.nlm.nih.gov/pubmed/34252381 http://dx.doi.org/10.1016/S2214-109X(21)00289-8 |
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