Open Access

Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection

  • Authors:
    • Yijuan Zheng
    • Huatang Zhang
    • Zhangyan Weng
    • Haoyi He
    • Wenhuang Chen
    • Minghui Zheng
    • Chengdi Chen
    • Youxian Zheng
    • Jianfeng Xie
    • Kuicheng Zheng
    • Jiming Zhang
    • Baosong Xie
    • Zhijun Su
    • Xibin Zhuang
    • Yongjun Zhou
    • Xueping Yu
  • View Affiliations

  • Published online on: December 27, 2023     https://doi.org/10.3892/br.2023.1717
  • Article Number: 29
  • Copyright: © Zheng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The present study investigated the epidemiology and clinical characteristics of infection with severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) Omicron variant and determined the risk factors for delayed discharge or release from isolation for pediatric patients in Quanzhou, China in 2022. There were 145, 254 and 23 patients in the asymptomatic, mildly symptomatic and moderately symptomatic categories, respectively. The proportion of pediatric patients in the moderately symptomatic category increased with increasing age. No child aged <1 year and 9.02% of patients aged 13‑18 years were in the moderately symptomatic category. The proportion of patients with asymptomatic infection did not differ significantly by vaccination status. The median days until the first negative conversion of viral RNA was 11 days, and the median hospitalization duration was 16 days. Most symptoms appeared in the upper respiratory tract. Notably, ~33.23% of patients showed elevated aspartate aminotransferase levels. C‑reactive protein and interleukin‑6 (IL‑6) levels, and lymphocyte counts were consistently lower in asymptomatic patients than those in in symptomatic patients. Adjusted logistic regression analyses indicated that IL‑6 levels and time to the first negative conversion of viral RNA were independent risk factors for delayed discharge. The area under the curve of the regression model for predicting delayed discharge was 0.760. In conclusion, these results could facilitate the formulation of global epidemic prevention policies for pediatric patients.
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February-2024
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Spandidos Publications style
Zheng Y, Zhang H, Weng Z, He H, Chen W, Zheng M, Chen C, Zheng Y, Xie J, Zheng K, Zheng K, et al: Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection. Biomed Rep 20: 29, 2024
APA
Zheng, Y., Zhang, H., Weng, Z., He, H., Chen, W., Zheng, M. ... Yu, X. (2024). Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection. Biomedical Reports, 20, 29. https://doi.org/10.3892/br.2023.1717
MLA
Zheng, Y., Zhang, H., Weng, Z., He, H., Chen, W., Zheng, M., Chen, C., Zheng, Y., Xie, J., Zheng, K., Zhang, J., Xie, B., Su, Z., Zhuang, X., Zhou, Y., Yu, X."Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection". Biomedical Reports 20.2 (2024): 29.
Chicago
Zheng, Y., Zhang, H., Weng, Z., He, H., Chen, W., Zheng, M., Chen, C., Zheng, Y., Xie, J., Zheng, K., Zhang, J., Xie, B., Su, Z., Zhuang, X., Zhou, Y., Yu, X."Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection". Biomedical Reports 20, no. 2 (2024): 29. https://doi.org/10.3892/br.2023.1717