The clinical course of hospitalized COVID-19 patients and aggravation risk prediction models: a retrospective, multi-center Korean cohort study.

Journal: Frontiers in medicine
Published Date: Jan 4, 2024

Abstract

BACKGROUND: Understanding the clinical course and pivotal time points of COVID-19 aggravation is critical for enhancing patient monitoring. This retrospective, multi-center cohort study aims to identify these significant time points and associate them with potential risk factors, leveraging data from a sizable cohort with mild-to-moderate symptoms upon admission.

Authors

  • Min Kyong Moon
    Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Hyeonjung Ham
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
  • Soo Min Song
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
  • Chanhee Lee
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
  • Taewan Goo
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
  • Bumjo Oh
    Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Seungyeoun Lee
    Department of Mathematics & Statistics, Sejong University, Seoul, Republic of Korea.
  • Shin-Woo Kim
    Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
  • Taesung Park
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.

Keywords

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