Clinical characteristics and risks of the convalescent COVID-19 patients with re-detectable positive RNA test: a 430 patients with Omicron infected cross-sectional survey in Tianjin, China

Li, Tianning; Han, Meng; Wang, Jingyu; Zhou, Chunlei; Mu, Hong

doi:10.1016/j.jiph.2022.11.011

Cited by 2 publications

(1 citation statement)

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“…Breakthrough SARS-CoV-2 infections have been observed globally in both vaccinated and previously infected individuals [13, 14]. Re-positive results have been reported in recovered patients infected with the Omicron variant [15]. However, it is unclear whether the incidence of re-positivity is associated with the infecting SARS-CoV-2 variant.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19

Lei

Tang

et al. 2023

Epidemiol. Infect.

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The purpose of this study was to analyse the clinical characteristics of patients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) PCR re-positivity after recovering from coronavirus disease 2019 (COVID-19). Patients (n = 1391) from Guangzhou, China, who had recovered from COVID-19 were recruited between 7 September 2021 and 11 March 2022. Data on epidemiology, symptoms, laboratory test results and treatment were analysed. In this study, 42.7% of recovered patients had re-positive result. Most re-positive patients were asymptomatic, did not have severe comorbidities, and were not contagious. The re-positivity rate was 39%, 46%, 11% and 25% in patients who had received inactivated, mRNA, adenovirus vector and recombinant subunit vaccines, respectively. Seven independent risk factors for testing re-positive were identified, and a predictive model was constructed using these variables. The predictors of re-positivity were COVID-19 vaccination status, previous SARs-CoV-12 infection prior to the most recent episode, renal function, SARS-CoV-2 IgG and IgM antibody levels and white blood cell count. The predictive model could benefit the control of the spread of COVID-19.

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Section: Introductionmentioning

confidence: 99%