Viral load dynamics in asymptomatic and symptomatic patients during Omicron BA.2 outbreak in Shanghai, China, 2022: A longitudinal cohort study
The SARS-CoV-2 virus, particularly the Omicron BA.2 variant, led to a significant surge in Shanghai, 2022. However, the viral load dynamic in Omicron infections with varying clinical severities remain unclear. This prospective cohort included 48,830 hospitalized coronavirus disease 2019 (COVID-19) patients across three hospitals in Shanghai, China, between 23 March and 15 May, 2022. Systematic nucleic acid testing was performed using RT-PCR Cycle threshold (Ct) value as a proxy of viral load. We analyzed the kinetic characteristics of viral shedding by clinical severity and identified associated risk factors. The study comprised 31.06% asymptomatic cases, 67.66% mild-moderate cases, 1.00% severe cases, 0.29% critical and fatal cases. Upon admission, 57% of patients tested positive, with peak viral load observed at 4 days (median Ct value 27.5), followed by a decrease and an average viral shedding time (VST) of 6.1 days (Interquartile range, 4.0-8.8 days). Although viral load exhibited variation by age and clinical severity, peak Ct values occurred at similar times. Unvaccinated status, age exceeding 60, and comorbidities including hypertension, renal issues kidney dialysis and kidney transplantation, neurological disorders, rheumatism, and psychotic conditions were found to correlate with elevated peak viral load and extended VST. Asymptomatic cases demonstrated a 40% likelihood of contagiousness within 6 days of detection, while mild-moderate and severe cases exhibited post-symptom resolution infectious probabilities of 27% and over 50%, respectively. These findings revealed that the initial Ct values serve as a predictive indicator of severe outcomes. Unvaccinated elderly individuals with particular comorbidities are at high-risk for elevated viral load and prolonged VST.
Authors
- Xian Zhou (ORCID: https://orcid.org/0000-0001-8766-8158)
- Xuemei Yan (ORCID: https://orcid.org/0009-0001-2942-9738)
- Jingwen Ai (ORCID: https://orcid.org/0000-0002-5152-1557)
- Jianpeng Cai
- Jiaxin Zhou (ORCID: https://orcid.org/0000-0002-6615-0752)
- Hongjie Yu (ORCID: https://orcid.org/0000-0002-6335-5648)
- Shijia Ge
- Wenhong Zhang (ORCID: https://orcid.org/0000-0002-9165-3212)
- Xiangyanyu Xu
- Sen Wang (ORCID: https://orcid.org/0000-0002-8325-6348)
- Rong Li (ORCID: https://orcid.org/0009-0008-6177-2246)
- Hongyu Wang (ORCID: https://orcid.org/0000-0001-7345-2794)
- Yilin Zhang (ORCID: https://orcid.org/0000-0001-5350-8279)
- Yan Wang (ORCID: https://orcid.org/0000-0003-4999-3587)
- Haocheng Zhang (ORCID: https://orcid.org/0000-0002-2209-3629)
- Yuchen Zhao
- Feng Sun (ORCID: https://orcid.org/0000-0002-8413-5177)
- Zhen Feng (ORCID: https://orcid.org/0000-0003-2201-7797)
- Juanjuan Zhang
- Yanpeng Wu
- Yang Li (ORCID: https://orcid.org/0009-0005-3334-4453)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Shanghai Public Health Clinical Center (CN)
- Ministry of Education (KR)
- Huashan Hospital (CN)
Publication Details
- Journal
- Virologica Sinica
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1016/j.virs.2024.10.001
- Citations
- 1
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- Shanghai Hospital Development Center