Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19. (17th February 2023)

• Record Type: Journal Article
• Authors: Hu, Cheng-Yi; Lei, Yi; Tang, Yu-Wen; Cui, Wen-Shuai; Wu, Pei-Lian; Li, Yan-Fang; Zhou, Yan; Li, Xin-Yan; Cui, Hao; Xiao, Lu-Shan; Zhao, Zhu-Xiang
• Is Part Of: Epidemiology and infection. Volume 151(2023)
• Publication Date: 2023-02-17
• Subjects: Clinical characteristics -- COVID-19 -- predictive model -- repeat test positivity -- SARS-CoV-2 infection; Communicable diseases -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1017/S0950268823000249
• Languages: English
• ISSNs: 0950-2688

Abstract

Abstract: 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.