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Recurrent SARS-CoV-2 RNA positivity after COVID-19: a systematic review and meta-analysis.


ABSTRACT: Present study aimed to estimate the incidence of recurrent SARS-CoV-2 RNA positivity after recovery from COVID-19 and to determine the factors associated with recurrent positivity. We searched the PubMed, MedRxiv, BioRxiv, the Cochrane Library, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry for studies published to June 12, 2020. Studies were reviewed to determine the risk of bias. A random-effects model was used to pool results. Heterogeneity was assessed using I2. Fourteen studies of 2568 individuals were included. The incidence of recurrent SARS-CoV-2 positivity was 14.8% (95% confidence interval [CI] 11.44-18.19%). The pooled estimate of the interval from disease onset to recurrence was 35.4 days (95% CI 32.65-38.24 days), and from the last negative to the recurrent positive result was 9.8 days (95% CI 7.31-12.22 days). Patients with younger age and a longer initial illness were more likely to experience recurrent SARS-CoV-2 positivity, while patients with diabetes, severe disease, and a low lymphocyte count were less likely to experience. Present study concluded that the incidence of recurrent SARS-CoV-2 positivity was 14.8% suggesting further studies must be conducted to elucidate the possibility of infectious individuals with prolonged or recurrent RNA positivity.

SUBMITTER: Azam M 

PROVIDER: S-EPMC7691365 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Recurrent SARS-CoV-2 RNA positivity after COVID-19: a systematic review and meta-analysis.

Azam Mahalul M   Sulistiana Rina R   Ratnawati Martha M   Fibriana Arulita Ika AI   Bahrudin Udin U   Widyaningrum Dian D   Aljunid Syed Mohamed SM  

Scientific reports 20201126 1


Present study aimed to estimate the incidence of recurrent SARS-CoV-2 RNA positivity after recovery from COVID-19 and to determine the factors associated with recurrent positivity. We searched the PubMed, MedRxiv, BioRxiv, the Cochrane Library, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry for studies published to June 12, 2020. Studies were reviewed to determine the risk of bias. A random-effects model was used to pool results. Heterogeneity was as  ...[more]

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