School of Pathology (ETDs)

Permanent URI for this communityhttps://hdl.handle.net/10539/38220

Browse

Filters

2021 - 20232

Settings

End date: 2023Subject: search.filters.subject.COVID-19

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Epidemiology of laboratory-confirmed SARS-CoV-2 hospitalized cases in a tertiary hospital, Gauteng Province, South Africa, 1 April 2020 to 31 March 2021
    (University of the Witwatersrand, Johannesburg, 2021-12) Sikhosana, Mpho Lerato; Makatini, Zinhle
    Gauteng Province (GP) was the most affected province in South Africa during the first year of the COVID-19 pandemic. We aimed to describe the epidemiology of COVID-19 cases admitted in one of the largest quaternary hospitals in the province during the two pandemic waves. We used data from the national hospital surveillance system, DATCOV, that recorded COVID-19 admissions at Charlotte Maxeke Johannesburg Academic Hospital in (GP) from 5 March 2020 to 27 March 2021. We used multivariable logistic regression to determine a) factors associated with hospitalization in the second compared to the first pandemic wave, and b) factors associated with in-hospital mortality. There were 1861 cases admitted during the study period. The mean age of the cases was 50 (IQR 37-61), 51.80% were females, and 58.68% were black. Of the total number of admissions, 2.10% were healthcare worker, 53.85% of whom were nurses. On admission, 91.99% of cases were admitted at a general ward while 5.86% were admitted at an intensive care unit. Overall, 10.59% of the cases required intensive care during their hospital stay. The case fatality ratio was the highest (28.54%) during wave 2 and lowest during pre-wave (11.49%). Compared to the first wave, factors associated with hospitalization during the second wave included age >80 years (adjusted odds ratio [aOR] 3.43, 95% CI 1.07-10.98) compared to ages 0-19 years, as well as being of other race (aOR 5.63, 95%CI 1.84-17.20) compared with White race. Regarding in-hospital mortality, associated factors included age groups 60-79 (aOR 4.53, 95%CI 1.03-19.86) and >80 (aOR 9.63, 95%CI 1.93-48.01) compared to ages 0-19 years; male sex (aOR 1.55, 95%CI 1.16-2.08); presence of an underlying comorbidity (aOR 1.99, 95%CI 1.45-2.71) 106 as well as being admitted during the second wave (aOR 1.54, 95%CI 1.12-2.10). Our study found that there was a higher risk of mortality during the second compared to the first wave, and other factors associated with mortality included older age, being male as well as having an existing comorbidity. These findings will help inform prevention strategies required to prevent high mortality rates during future waves of infection.
  • Thumbnail Image
    Item
    Validation of Roche immunoassay for severe acute respiratory virus 2/SARS-COV-2 in South Africa
    (University of the Witwatersrand, Johannesburg, 2023-01) Grove, Jurette Simone; George, Jaya; Mayne, Elizabeth
    Background: Serology testing is an important ancillary diagnostic to the reverse transcriptase polymerase chain reaction (RT-PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to evaluate the performance of the Roche Elecsys™ chemiluminescent immunoassay (Rotkreuz, Switzerland), that detects antibodies against the SARS-CoV-2 nucleocapsid antigen, at an academic laboratory in South Africa. Methods: Serum samples were collected from 312 donors with confirmed positive SARS CoV-2 RT-PCR tests, with approval from a large university’s human research ethics committee. Negative controls included samples stored prior to December 2019 and from patients who tested negative for SARS-CoV-2 on RT-PCR and were confirmed negative using multiple serology methods (n = 124). Samples were stored at –80 °C and analysed on a Roche cobas™ 602 autoanalyser. Results: Compared with RT-PCR, our evaluation revealed a specificity of 100% and overall sensitivity of 65.1%. The sensitivity in individuals > 14 days’ post-diagnosis was 72.6%, with the highest sensitivity 31–50 days’ post-diagnosis at 88.6%. Results were also compared with in-house serology tests that showed high agreement in majority of categories. Conclusions: The sensitivity at all-time points post-diagnosis was lower than reported in other studies, but sensitivity in appropriate cohorts approached 90% with a high specificity. The lower sensitivity at earlier time points or in individuals without symptomatology may indicate failure to produce antibodies, which was further supported by the comparison against in-house serology tests.