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Analysis of factors influencing viral shedding time in elderly patients with mild and asymptomatic Omicron infection
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He Zhang1, Wen-Di Jiang1, Jian Zhao1, Wen-Jian Mao1, Ji-Min Gao2, Xiao-Na Chang3, Shi-Hai Yang4, Chuan-Xia Yao5, Da-Zhi Gao6, Zhi-Hui Tong1, *
Medical Journal of Chinese People’s Liberation Army | 2022, 47(11) : 1079 - 1084
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Medical Journal of Chinese People’s Liberation Army | 2022, 47(11): 1079-1084
Special Issue on COVID-19 caused by Omicron variant
Analysis of factors influencing viral shedding time in elderly patients with mild and asymptomatic Omicron infection
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He Zhang1, Wen-Di Jiang1, Jian Zhao1, Wen-Jian Mao1, Ji-Min Gao2, Xiao-Na Chang3, Shi-Hai Yang4, Chuan-Xia Yao5, Da-Zhi Gao6, Zhi-Hui Tong1, *
Affiliations
  • 1Department of Intensive Care Medicine, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China
  • 2Department of Intensive Care Medicine, Huaian Medical District, Eastern Theater Command General Hospital, Huaian, Jiangsu 223001, China
  • 3Department of Diagnostic Radiology, the 902nd Hospital of Joint Logistics, Bengbu, Anhui 233000, China
  • 4Department of Neurology, the 902nd Hospital of Joint Logistics, Bengbu, Anhui 233000, China
  • 5Department of Liver Disease, Qinhuai Medical District, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China
  • 6Department of Interventional Therapy, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China
Published: 2022-11-28 doi: 10.11855/j.issn.0577-7402.2022.11.1079
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Objective To analyze the potential factors influencing the viral shedding time (duration of nucleic acid positivity) in elderly patients with mild and asymptomatic infection. Methods The clinical data of 1141 elderly (≥60 years)patients with mild and asymptomatic Omicron infection who were admitted to National Exhibition and Convention Center(Shanghai) Cabin Hospital from April 14, 2022 to May 1, 2022 were retrospectively collected, viral shedding time of patients were compared between different groups (age, gender, number of vaccination, hypertension, diabetes). Pearson analysis was adopted to analyze the relationship between age and viral shedding time. Kaplan-Meier curve and Log-rank test were used to evaluate the viral shedding time in elderly patients with different clinical characteristics. Multivariate Cox proportional-hazards regression model was adopted to analyze the factors influencing viral shedding time in elderly patients with Omicron. Results Among 1441 patients,791(54.9%) males and 650(45.1%) females. There were 513(35.6%) patients receiving 0 dose of vaccine, 29(2.0%) patients received 1 dose of vaccine, 405(28.1%) patients received 2 doses of vaccine, 494(34.3%) patients received 3 doses of vaccine. Compared with patients aged 60 to 70 years, patients aged 70 to 80 years had longer viral shedding time (P<0.001). The viral shedding time in patients with hypertension and diabetes was longer than that in patients without hypertension and diabetes (P<0.05). In terms of vaccination, the viral shedding time of patients receiving 2 or 3 doses of vaccine was significantly shorter than that of patients receiving 1 dose of vaccine or none (P<0.05). There was a positive correlation between patient age and viral shedding time, with an R2=0.029 (P<0.001). Kaplan-Meier curve showed that there existed significant difference in viral shedding time between the patients with different vaccination doses (P<0.001), and patients with age ≥70, hypertension and diabetes were all associated with prolonged viral shedding time (P<0.05). Cox regression analysis showed that the age ≥70 years was a risk factor for prolonged viral shedding time, and 2 or 3 doses of vaccine was a protective factor for prolonged viral shedding time (P<0.05). Conclusions Among the elderly population, the viral shedding time would gradually increase with age. Patients who received ≥2 doses of vaccine would have reduced viral shedding time compared with those who received <2 doses of vaccine.

corona virus disease 2019  /  Omicron  /  variants  /  elderly  /  vaccines  /  viral shedding time
He Zhang, Wen-Di Jiang, Jian Zhao, Wen-Jian Mao, Ji-Min Gao, Xiao-Na Chang, Shi-Hai Yang, Chuan-Xia Yao, Da-Zhi Gao, Zhi-Hui Tong. Analysis of factors influencing viral shedding time in elderly patients with mild and asymptomatic Omicron infection[J]. Medical Journal of Chinese People’s Liberation Army, 2022 , 47 (11) : 1079 -1084 . DOI: 10.11855/j.issn.0577-7402.2022.11.1079
Year 2022 volume 47 Issue 11
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doi: 10.11855/j.issn.0577-7402.2022.11.1079
  • Receive Date:2022-06-09
  • Online Date:2025-12-14
  • Published:2022-11-28
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History
  • Received:2022-06-09
  • Accepted:2022-06-22
Affiliations
    1Department of Intensive Care Medicine, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China
    2Department of Intensive Care Medicine, Huaian Medical District, Eastern Theater Command General Hospital, Huaian, Jiangsu 223001, China
    3Department of Diagnostic Radiology, the 902nd Hospital of Joint Logistics, Bengbu, Anhui 233000, China
    4Department of Neurology, the 902nd Hospital of Joint Logistics, Bengbu, Anhui 233000, China
    5Department of Liver Disease, Qinhuai Medical District, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China
    6Department of Interventional Therapy, Eastern Theater Command General Hospital, Nanjing, Jiangsu 210000, China

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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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