Trends in Cases, Hospitalizations, and Mortality Related to the Omicron BA.4/BA.5 Subvariants in South Africa

Author:

Jassat Waasila12,Abdool Karim Salim S34,Ozougwu Lovelyn12,Welch Richard12,Mudara Caroline1,Masha Maureen12,Rousseau Petro5,Wolmarans Milani5,Selikow Anthony6,Govender Nevashan1,Walaza Sibongile17,von Gottberg Anne18,Wolter Nicole18,Terrence Pisa Pedro29,Sanne Ian210,Govender Sharlene2,Blumberg Lucille12ORCID,Cohen Cheryl17,Groome Michelle J18,

Affiliation:

1. National Institute for Communicable Diseases, Division of the National Health Laboratory Service , Johannesburg , South Africa

2. Right to Care , Pretoria , South Africa

3. Centre for the AIDS Programme of Research in South Africa , Durban , South Africa

4. Department of Epidemiology, Mailman School of Public Health, Columbia University , New York, New York , USA

5. National Department of Health , Pretoria , South Africa

6. Council for Scientific and Industrial Research , Pretoria , South Africa

7. School of Public Health, Faculty of Health Sciences, University of Witwatersrand , Johannesburg , South Africa

8. School of Pathology, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg , South Africa

9. Department of Human Nutrition and Dietetics, Faculty of Health Sciences, University of Pretoria , Pretoria , South Africa

10. Clinical HIV Research Unit, Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg , South Africa

Abstract

Abstract Background In this study, we compared admission incidence risk and the risk of mortality in the Omicron BA.4/BA.5 wave to previous waves. Methods Data from South Africa's SARS-CoV-2 case linelist, national COVID-19 hospital surveillance system, and Electronic Vaccine Data System were linked and analyzed. Wave periods were defined when the country passed a weekly incidence of 30 cases/100 000 population. In-hospital case fatality ratios (CFRs) during the Delta, Omicron BA.1/BA.2, and Omicron BA.4/BA.5 waves were compared using post-imputation random effect multivariable logistic regression models. Results The CFR was 25.9% (N = 37 538 of 144 778), 10.9% (N = 6123 of 56 384), and 8.2% (N = 1212 of 14 879) in the Delta, Omicron BA.1/BA.2, and Omicron BA.4/BA.5 waves, respectively. After adjusting for age, sex, race, comorbidities, health sector, and province, compared with the Omicron BA.4/BA.5 wave, patients had higher risk of mortality in the Omicron BA.1/BA.2 wave (adjusted odds ratio [aOR], 1.3; 95% confidence interval [CI]: 1.2–1.4) and Delta wave (aOR, 3.0; 95% CI: 2.8–3.2). Being partially vaccinated (aOR, 0.9; 95% CI: .9–.9), fully vaccinated (aOR, 0.6; 95% CI: .6–.7), and boosted (aOR, 0.4; 95% CI: .4–.5) and having prior laboratory-confirmed infection (aOR, 0.4; 95% CI: .3–.4) were associated with reduced risks of mortality. Conclusions Overall, admission incidence risk and in-hospital mortality, which had increased progressively in South Africa's first 3 waves, decreased in the fourth Omicron BA.1/BA.2 wave and declined even further in the fifth Omicron BA.4/BA.5 wave. Mortality risk was lower in those with natural infection and vaccination, declining further as the number of vaccine doses increased.

Funder

NICD

NDoH

US Agency for International Development

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference34 articles.

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