In-depth analysis of the risk factors for persistent severe acute respiratory syndrome coronavirus 2 infection and construction of predictive models: an exploratory research study.

Journal: BMC infectious diseases
Published Date:

Abstract

BACKGROUND: Persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection differs from long coronavirus disease (COVID-19) (acute symptoms ≥ 12 weeks post-clearance). The Omicron BA.5 variant has a shorter median clearance time (10-14 days) than the Delta variant, suggesting that the traditional 20-day diagnostic threshold may delay interventions in high-risk populations. This study integrated multi-threshold analysis (14/20/30 days), whole-genome sequencing, and machine learning to investigate diagnostic thresholds for persistent SARS-CoV-2 infection and developed a generalizable risk prediction model.

Authors

  • Jia Zhang
    Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Weihua Zhu
    Department of Critical Care Medicine, the Second Affiliated Hospital of Kunming Medical University, Kunming 650000, Yunnan, China.
  • Piping Jiang
    Department of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Beijing, 100049, China.
  • Feng Ma
    School of Information, Yunnan University of Finance and Economics, Kunming, China.
  • Yulin Li
    Department of Physics, and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China.
  • Yuwei Cao
    Department of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Beijing, 100049, China.
  • Jiaxin Li
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhe Zhang
    Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wailong Zou
    Department of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Beijing, 100049, China. 15301050459@163.com.
  • Jichao Chen
    School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore. Electronic address: e160075@e.ntu.edu.sg.