Clinical characteristics of Coronavirus Disease 2019 patients in Beijing, China

Zhenhuan Cao1, Tongzeng Li1, Lianchun Liang1

  • 1Department of Infectious Disease, Beijing You'an Hospital, Capital Medical University, Beijing, China.

Plos One
|June 20, 2020
PubMed

Insights

This study on COVID-19 patients in Beijing found that older individuals with specific clinical markers like high C-reactive protein and low oxygen saturation were more prone to severe illness. These findings highlight key indicators for identifying high-risk Coronavirus Disease patients.

Area of Science:

  • Infectious Diseases
  • Clinical Medicine
  • Epidemiology

Background:

  • The global impact of Coronavirus Disease (COVID-19) is significant, with most research focusing on Wuhan.
  • Limited data exists on the clinical presentation of COVID-19 outside of Wuhan, China.

Purpose of the Study:

  • To describe the early clinical features of COVID-19 patients in Beijing.
  • To identify predictors of severe illness in a non-Wuhan cohort.

Main Methods:

  • Retrospective cohort study of 80 hospitalized COVID-19 patients in Beijing.
  • Analysis of demographic, clinical, laboratory, and outcome data.
  • Comparison of characteristics between severe and non-severe illness groups.

Main Results:

  • 33.8% of patients experienced severe illness; 7.5% required ICU admission, and 3.8% died.
  • Severe illness was associated with older age (71 vs. 44 years), expectoration, shortness of breath, anorexia, and confusion.
  • Severe patients exhibited higher systolic blood pressure, lower oxygen saturation, elevated myoglobin, troponin I, C-reactive protein, and neutrophils, with decreased lymphocytes, albumin, and creatinine clearance.

Conclusions:

  • Older age and specific clinical and laboratory markers (high C-reactive protein, myoglobin, troponin I, neutrophils, systolic blood pressure; low lymphocytes, albumin, creatinine clearance, oxygen saturation) are associated with severe COVID-19.
  • These findings provide insights into disease progression in a population outside the initial outbreak epicenter.

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