A new rapid screening program based on risk scores for COVID-19 patients

Ru Chen1, Guilan Xu2, Lihui Yang3

  • 1Neurological Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.

Insights

A new COVID-19 risk score effectively screens patients to reduce hospital transmission. This rapid assessment tool identifies high-risk individuals, aiding in efficient COVID-19 prevention and management strategies.

Area of Science:

  • Infectious Diseases
  • Public Health
  • Epidemiology

Background:

  • Hospital-related transmission is a significant factor in the spread of COVID-19.
  • Effective and rapid screening strategies are crucial for COVID-19 prevention.
  • Existing screening methods may lack sufficient accuracy and efficiency.

Purpose of the Study:

  • To establish a novel COVID-19 risk score system for rapid patient screening.
  • To reduce the risk of hospital-related COVID-19 transmission.
  • To compare the effectiveness of the new risk score against existing screening schemes.

Main Methods:

  • Analysis of 335 patients, including 124 with COVID-19.
  • Selection of five significant clinical attributes (exposure, cluster onset, fever, cough, atypical symptoms) to construct the risk score.
  • Comparison of screening effectiveness using receiver operating characteristic (ROC) curves for three schemes.

Main Results:

  • A new COVID-19 risk score was developed using five key factors.
  • The score effectively categorizes patients into low, medium, and high-risk subgroups.
  • The COVID-19 risk score system demonstrated superior screening effectiveness (AUC=0.96) compared to temperature screening (AUC=0.56) and exposure/fever screening (AUC=0.85).

Conclusions:

  • The developed COVID-19 risk score system enables rapid and effective identification of COVID-19 patients.
  • This tool can significantly aid clinicians in managing COVID-19, particularly in areas with ongoing transmission.
  • The new system offers improved sensitivity (93.6%) and specificity (86.3%) at a cut-off score of 10.