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. 2021 Apr:105:463-469.
doi: 10.1016/j.ijid.2021.02.089. Epub 2021 Feb 27.

Factors associated with a prolonged negative conversion of viral RNA in patients with COVID-19

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Factors associated with a prolonged negative conversion of viral RNA in patients with COVID-19

Cyrine Bennasrallah et al. Int J Infect Dis. 2021 Apr.

Abstract

Objectives: The aim of this study was to identify the factors influencing the delay in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA negative conversion.

Methods: A cohort study was conducted that included patients with coronavirus disease 2019 (COVID-19) admitted to the Tunisian national containment center. Follow-up consisted of a weekly RT-PCR test. Multivariate Cox regression analysis was performed to determine independent predictors associated with negative RNA conversion.

Results: Among the 264 patients included, the median duration of viral clearance was 20 days (interquartile range (IQR) 17-32 days). The shortest duration was 9 days and the longest was 58 days. Factors associated with negative conversion of viral RNA were symptoms such as fatigue, fever, and shortness of breath (hazard ratio (HR) 0.600, 95% confidence interval (CI) 0.401-0.897) and face mask use when exposed to COVID-19 cases (HR 2.006, 95% CI 1.247-3.228). The median time to RNA viral conversion was 18 days (IQR 16-21 days) when using masks versus 23 days (IQR 17-36 days) without wearing masks, and 24 days (IQR 18-36 days) for symptomatic patients versus 20 days (IQR 16-30 days) for asymptomatic patients.

Conclusions: The results of this study revealed that during SARS-CoV-2 infection, having symptoms delayed viral clearance, while wearing masks accelerated this conversion. These factors should be taken into consideration for the strategy of isolating infected patients.

Keywords: COVID-19; Coronavirus disease 2019; Negative conversion; SARS-CoV-2; Tunisia; Viral shedding.

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Figures

Figure 1
Figure 1
Flow chart of inclusion and exclusion criteria.
Figure 2
Figure 2
Overall negative conversion curve for COVID-19 patients.
Figure 3
Figure 3
Negative conversion curves for COVID-19 patients according to predictors, by day (d) after first positive RT-PCR: (A) sex; (B) age; (C) symptoms; (D) dyslipidemia; (E) isolated room; (F) was wearing masks when contracted the virus.

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