RT Journal Article
SR Electronic
T1 A robust web-based tool to predict viral shedding in patients with Omicron SARS-CoV-2 variants
JF ERJ Open Research
JO erjor
FD European Respiratory Society
SP 00939-2023
DO 10.1183/23120541.00939-2023
VO 10
IS 3
A1 Zhang, Weilong
A1 Gai, Xiaoyan
A1 Wang, Ben
A1 Duan, Zhonghui
A1 Zhou, Qingtao
A1 Dai, Lili
A1 Yan, Changjian
A1 Wu, Chaoling
A1 Fan, Jiarun
A1 Wang, Ping
A1 Yang, Ping
A1 Bao, Fang
A1 Jing, Hongmei
A1 Cai, Chao
A1 Song, Chunli
A1 Ma, Yingmin
A1 Sun, Yongchang
YR 2024
UL http://openres.ersjournals.com/content/10/3/00939-2023.abstract
AB Background Data on viral kinetics and variants affecting the duration of viral shedding were limited. Our objective was to determine viral shedding in distinct severe acute respiratory syndrome coronavirus 2 variants, including Omicron BA.4/5 and BF.7, and to identify the relevant influencing factors.Methods We carried out a longitudinal cohort study at Beijing Xiaotangshan Fangcang shelter hospital from May to June 2022 (Omicron BA.4/5) and from November to December 2022 (Omicron BF.7). Nucleocapsid protein (N) and open reading frame (ORF) genes were considered as the target genes of the reverse transcription PCR. The daily results of cycle threshold (CT), including lowest ORF1ab-CT values for days 1–3 post-hospitalisation and lowest N-CT values for days 1–3 post-hospitalisation (CT3minN) and demographic and clinical characteristics were collected.Results 1433 patients with coronavirus disease 2019 (COVID-19) were recruited from the Fangcang shelter hospital, in which 278 patients were diagnosed with Omicron BA.4/5 and 1155 patients with Omicron BF.7. Patients with BF.7 infection showed a longer duration of viral shedding. The duration of viral shedding was associated with the variants age, alcohol use, the severity of COVID-19 and CT3minN. Moreover, the nomogram had excellent accuracy in predicting viral shedding.Conclusions Our results indicated that patients with Omicron BF.7 had a longer period of contagiousness than those with BA.4/5. The duration of viral shedding was affected by a variety of factors and the nomogram may become an applicable clinical instrument to predict viral shedding. Furthermore, we developed a new COVID-19 viral shedding predicting model that can accurately predict the duration of viral shedding for COVID-19, and created a user-friendly website to apply this prediction model (https://puh3.shinyapps.io/CVSP_Model/).A web-based tool to predict viral shedding in patients with Omicron variants of SARS-CoV-2 https://bit.ly/48sfyCP