Risk factors for prolonged viral RNA shedding in patients with COVID-19; a nested case-control study
Introduction: The coronavirus disease 2019 (COVID-19) pandemic continues to have a global impact. The behavior and viral course of severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains unpredictable. We aimed to investigate the prediction factors associated with prolonged viral sheddin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Journal of Infection in Developing Countries
2023-05-01
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| Series: | Journal of Infection in Developing Countries |
| Subjects: | |
| Online Access: | https://jidc.org/index.php/journal/article/view/17508 |
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| Summary: | Introduction: The coronavirus disease 2019 (COVID-19) pandemic continues to have a global impact. The behavior and viral course of severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains unpredictable. We aimed to investigate the prediction factors associated with prolonged viral shedding in COVID-19 patients.
Methodology: This is a retrospective, nested, case-control study with 155 confirmed COVID-19 infected patients divided into two groups based on nucleic acid conversion time (NCT), a prolonged group (viral RNA shedding >14 days, n = 31) and a non-prolonged group (n = 124).
Results: The mean age of participants was 57.16 years, and 54.8% were male. Inpatient numbers were 67.7% across both groups. No statistically significant differences between the two groups were observed in terms of clinical manifestation, comorbidities, computer tomography, severity index, antiviral treatment, and vaccination. However, C-reactive protein and D-dimer levels were significantly higher in the prolonged group (p = 0.01; p = 0.01). Using conditional logistic regression analysis, D-dimer and bacterial co-infection were found to be independent factors associated with the prolonged NCT (OR: 1.001, 95% CI: 1.000-1.001, p = 0.043; OR: 12.479, 95% CI: 2.701-57.654, p = 0.001 respectively). We evaluated the diagnostic value of the conditional logistic regression model by using receiver operating characteristic curve analysis. The area under the curve was 0.7 (95% Cl: 0.574-0.802; p < 0.001).
Conclusions: Our study design included controlling confounders. We showed a clear result associating predicting factors with prolonged NCT of SARS-CoV-2. D-dimer level and bacterial co-infection were considered as independent predictors of prolonged NCT.
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| ISSN: | 1972-2680 |