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Early assessment of the clinical severity of the SARS-CoV-2 Omicron variant in South Africa
Nicole Wolter; Waasila Jassat; Sibongile Walaza; Richard Welch; Harry Moultrie; Michelle Groome; Daniel Gyamfi Amoako; Josie Everatt; Jinal N Bhiman; Cathrine Scheepers; Naume Tebeila; Nicola Chiwandire; Mignon du Plessis; Nevashan Govender; Arshad Ismail; Allison Glass; Koleka Mlisana; Wendy Stevens; Florette K Treurnicht; Zinhle Makatini; Nei-yuan Hsiao; Raveen Parboosing; Jeannette Wadula; Hannah Hussey; Mary-Ann Davies; Andrew Boulle; Anne von Gottberg; Cheryl Cohen.
Affiliation
  • Nicole Wolter; National Institute for Communicable Diseases
  • Waasila Jassat; National Institute for Communicable Diseases
  • Sibongile Walaza; National Institute for Communicable Diseases of the National Health Laboratory Services. University of the Witwatersrand
  • Richard Welch; National Institute for Communicable Diseases
  • Harry Moultrie; National Institute for Communicable Diseases
  • Michelle Groome; National Institute for Communicable Diseases
  • Daniel Gyamfi Amoako; National Institute for Communicable Diseases
  • Josie Everatt; National Institute for Communicable Diseases
  • Jinal N Bhiman; National Institute for Communicable Diseases
  • Cathrine Scheepers; National Institute for Communicable Diseases
  • Naume Tebeila; National Institute for Communicable Diseases
  • Nicola Chiwandire; National Institute for Communicable Diseases
  • Mignon du Plessis; National Institute for Communicable Diseases
  • Nevashan Govender; National Institute for Communicable Diseases
  • Arshad Ismail; National Institute for Communicable Diseases
  • Allison Glass; Lancet Laboratories
  • Koleka Mlisana; National Health Laboratory Service
  • Wendy Stevens; University of the Witwatersrand
  • Florette K Treurnicht; National Health Laboratory Service
  • Zinhle Makatini; National Health Laboratory Service
  • Nei-yuan Hsiao; University of Cape Town
  • Raveen Parboosing; National Health Laboratory Service
  • Jeannette Wadula; National Health Laboratory Service
  • Hannah Hussey; University of Cape Town
  • Mary-Ann Davies; University of Cape Town
  • Andrew Boulle; University of Cape Town
  • Anne von Gottberg; National Institute for Communicable Diseases
  • Cheryl Cohen; National Insitute for Communicable Diseases
Preprint in English | medRxiv | ID: ppmedrxiv-21268116
ABSTRACT
BackgroundThe SARS-CoV-2 Omicron variant of concern (VOC) almost completely replaced other variants in South Africa during November 2021, and was associated with a rapid increase in COVID-19 cases. We aimed to assess clinical severity of individuals infected with Omicron, using S Gene Target Failure (SGTF) on the Thermo Fisher Scientific TaqPath COVID-19 PCR test as a proxy. MethodsWe performed data linkages for (i) SARS-CoV-2 laboratory tests, (ii) COVID-19 case data, (iii) genome data, and (iv) the DATCOV national hospital surveillance system for the whole of South Africa. For cases identified using Thermo Fisher TaqPath COVID-19 PCR, infections were designated as SGTF or non-SGTF. Disease severity was assessed using multivariable logistic regression models comparing SGTF-infected individuals diagnosed between 1 October to 30 November to (i) non-SGTF in the same period, and (ii) Delta infections diagnosed between April and November 2021. ResultsFrom 1 October through 6 December 2021, 161,328 COVID-19 cases were reported nationally; 38,282 were tested using TaqPath PCR and 29,721 SGTF infections were identified. The proportion of SGTF infections increased from 3% in early October (week 39) to 98% in early December (week 48). On multivariable analysis, after controlling for factors associated with hospitalisation, individuals with SGTF infection had lower odds of being admitted to hospital compared to non-SGTF infections (adjusted odds ratio (aOR) 0.2, 95% confidence interval (CI) 0.1-0.3). Among hospitalised individuals, after controlling for factors associated with severe disease, the odds of severe disease did not differ between SGTF-infected individuals compared to non-SGTF individuals diagnosed during the same time period (aOR 0.7, 95% CI 0.3-1.4). Compared to earlier Delta infections, after controlling for factors associated with severe disease, SGTF-infected individuals had a lower odds of severe disease (aOR 0.3, 95% CI 0.2-0.5). ConclusionEarly analyses suggest a reduced risk of hospitalisation among SGTF-infected individuals when compared to non-SGTF infected individuals in the same time period. Once hospitalised, risk of severe disease was similar for SGTF- and non-SGTF infected individuals, while SGTF-infected individuals had a reduced risk of severe disease when compared to earlier Delta-infected individuals. Some of this reducton is likely a result of high population immunity.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
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