Quantitative assessment of SARS-CoV-2 RNAemia and outcome in patients with coronavirus disease 2019
- PMID: 33590923
- PMCID: PMC8014647
- DOI: 10.1002/jmv.26876
Quantitative assessment of SARS-CoV-2 RNAemia and outcome in patients with coronavirus disease 2019
Abstract
The disease spectrum of coronavirus disease 2019 (COVID-19) varies from asymptomatic infection to critical illness and death. Identification of prognostic markers is vital for predicting progression and clinical practice. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA, known as RNAemia, has been detected in the blood. However, the potential clinical value of SARS-CoV-2 RNAemia remains unknown. We, therefore, conducted a meta-analysis using a random-effects model to estimate the pooled prevalence of SARS-CoV-2 RNAemia as well as summary strength of RNAemia in association with disease severity and unfavorable clinical outcomes. A total of 21 studies involving 2181 patients were included. SARS-CoV-2 RNAemia in COVID-19 patients varied from 9.4% to 74.1%, with a pooled estimate of 34% (95% confidene interval [CI]: 26%-43%). Overall, SARS-CoV-2 RNAemia was associated with COVID-19 severity with odds ratio (OR) of 5.43 (95% CI: 3.46-8.53). In addition, SARS-CoV-2 RNAemia was a significant risk factor for unfavorable clinical outcomes (OR = 6.54, 95% CI: 3.82-11.21). The summary OR was 4.28 (95% CI: 2.20-8.33) for intensive care unit (ICU) admission, 11.07 (95% CI: 5.60-21.88) for mortality. Furthermore, RNAemia was also a significant risk factor for invasive mechanical ventilation and multiple organ failure. SARS-CoV-2 RNAemia is associated with disease severity, ICU admission, death in COVID-19, and may serve as a clinical predictor. More prospective trials in evaluating the potential of SARS-CoV-2 RNAemia as a prognostic indicator are necessary.
Keywords: COVID-19; SARS-CoV-2 RNAaemia; clinical severity; unfavorable outcome.
© 2021 Wiley Periodicals LLC.
Conflict of interest statement
The authors declare that there are no conflict of interests.
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- Coronavirus Resource Center. COVID‑19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). https://coronavirus.jhu.edu/map.html
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