Analyzing disease severity of SARS-CoV-2 Omicron variant using RNA dependent RNA polymerase target delay

In a recent study posted to the medRxiv* pre-print server, a team of researchers compared the severity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant to the Delta variant using the polymerase chain reaction (PCR) proxy marker of RNA dependent RNA polymerase (RdRp) target delay.

Study: Assessing the clinical severity of the Omicron variant in the Western Cape Province, South Africa, using the diagnostic PCR proxy marker of RdRp target delay to distinguish between Omicron and Delta infections – a survival analysis. Image Credit: Fit Ztudio/ShutterstockStudy: Assessing the clinical severity of the Omicron variant in the Western Cape Province, South Africa, using the diagnostic PCR proxy marker of RdRp target delay to distinguish between Omicron and Delta infections – a survival analysis. Image Credit: Fit Ztudio/Shutterstock

Introduction

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

The rapid spread of the SARS-CoV-2 Omicron variant of concern (VOC) has made it imperative to understand its implications on public health. There is new evidence that suggests a reduced risk of disease severity in Omicron VOC-infected patients as compared to Delta VOC-infected patients.

In the third wave of coronavirus disease 2019 (COVID-19) infections, the RdRp target delay (RTD) proxy marker was successfully used to investigate the disease severity related to the Delta VOC.

About the study

In the present study, the researchers aimed to assess the clinical implications of the Omicron VOC in the Western Cape Province, South Africa, and compared it to the Delta VOC using the RTD proxy marker.

In diagnostic PCR assays, RTD was used as a proxy marker to detect the Delta VOC in samples. The RTD had a specificity of 89.7% and a sensitivity of 93.6% in the detection of the Delta variant in a sample. With the emerging spread of the Omicron variant, the absence of RTD in the diagnostic assays was used to identify non-Delta or Omicron variants. In this study, RTD was defined as a difference in the cycle threshold value of the RdRp gene target and the E gene target.

This study was conducted on COVID-19-infected patients aged 15 years and older, including 1486 cases without RTD (a proxy for Omicron/non-Delta) and 150 cases with RTD (a proxy for Delta). These COVID-19 cases, recorded from a period from 1 November to 14 December 2021, were diagnosed using PCR assay tests.

The researchers conducted a survival analysis, studying the RTD and non-RTD groups from the date of COVID-19 diagnosis to the date of COVID-19-related hospital admission. One day of follow-up was assigned to patients who were hospitalized either on the day of diagnosis or a day before being diagnosed with COVID-19.

Statistical adjustments were made for factors like gender, age, known comorbidities, prior COVID-19 diagnosis, and vaccination status at the time of diagnosis. An individual was considered fully vaccinated 28 days or more after receiving the Janssen/Johnson & Johnson (Ad26.COV2.S) vaccine or 14 days or more after receiving the second dose of Pfizer–BioNTech (BNT162b2) vaccine.

Results

For the group with the RTD cases and the group with the non-RTD cases, the median age was 33 years. Although the proportions of fully vaccinated individuals were similar in both groups, more partially vaccinated individuals were observed to be COVID-19-infected in the non-RTD group than in the RTD group. Also, the proportion of individuals reinfected with COVID-19 was 11% in both groups.

The number of COVID-19-related hospitalizations was 14% in the RTD group and 6.8% in the non-RTD group. In both groups, 12.5% of individuals who were not hospitalized had a history of COVID-19 infections, while none of the hospitalized individuals had previous COVID-19 infections.

The non-RTD group had a lower hazard of hospital admission as compared to the RTD group. In both groups, complete vaccination was noted to provide substantial protection against COVID-19-related hospitalizations. Therefore, the researchers concluded that vaccination protected the individuals against the severity of infection despite newly emerging VOCs.

Conclusion

The study results show that the non-RTD group, or the group with Omicron-infected cases, exhibited a lower risk of COVID-19-related hospitalizations as compared to Delta-infected cases. Antibodies produced as a result of COVID-19 infections provide considerable protection against the severity of reinfected cases.

Moreover, partially vaccinated patients were discerned to be more protected against the Delta VOC as compared to the Omicron VOC while fully vaccinated patients exhibited a lowered risk of hospitalization in both Omicron VOC and Delta VOC cases. According to the authors, ascertaining the virulence of the Omicron variant as compared to the previous variants or to any non-Delta variants will require further investigation.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • May 11 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Susha Cheriyedath

Written by

Susha Cheriyedath

Susha is a scientific communication professional holding a Master's degree in Biochemistry, with expertise in Microbiology, Physiology, Biotechnology, and Nutrition. After a two-year tenure as a lecturer from 2000 to 2002, where she mentored undergraduates studying Biochemistry, she transitioned into editorial roles within scientific publishing. She has accumulated nearly two decades of experience in medical communication, assuming diverse roles in research, writing, editing, and editorial management.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Cheriyedath, Susha. (2023, May 11). Analyzing disease severity of SARS-CoV-2 Omicron variant using RNA dependent RNA polymerase target delay. News-Medical. Retrieved on December 26, 2024 from https://www.news-medical.net/news/20220118/Analyzing-disease-severity-of-SARS-CoV-2-Omicron-variant-using-RNA-dependent-RNA-polymerase-target-delay.aspx.

  • MLA

    Cheriyedath, Susha. "Analyzing disease severity of SARS-CoV-2 Omicron variant using RNA dependent RNA polymerase target delay". News-Medical. 26 December 2024. <https://www.news-medical.net/news/20220118/Analyzing-disease-severity-of-SARS-CoV-2-Omicron-variant-using-RNA-dependent-RNA-polymerase-target-delay.aspx>.

  • Chicago

    Cheriyedath, Susha. "Analyzing disease severity of SARS-CoV-2 Omicron variant using RNA dependent RNA polymerase target delay". News-Medical. https://www.news-medical.net/news/20220118/Analyzing-disease-severity-of-SARS-CoV-2-Omicron-variant-using-RNA-dependent-RNA-polymerase-target-delay.aspx. (accessed December 26, 2024).

  • Harvard

    Cheriyedath, Susha. 2023. Analyzing disease severity of SARS-CoV-2 Omicron variant using RNA dependent RNA polymerase target delay. News-Medical, viewed 26 December 2024, https://www.news-medical.net/news/20220118/Analyzing-disease-severity-of-SARS-CoV-2-Omicron-variant-using-RNA-dependent-RNA-polymerase-target-delay.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
How viral persistence and immune dysfunction drive long COVID