Rapid Clinical Screening and Staging for COVID-19 Severe Outcome

• Activity Number: 147 - Health
• Type: Contributed
• Date/Time: Monday, August 8, 2022 : 10:30 AM to 12:20 PM
• Sponsor: Government Statistics Section
• Author(s): Chaorui C Huang*
• Companies: New York City Department of Health and Mental Hygiene
• Keywords: COVID-19; Risk factor; Early Diagnosis; Early Treatment; Infectious Disease; Hospitalization

Abstract

We aimed to evaluate the risk factors for COVID-19 related severe outcome among the hospital patients in New York State (NYS). We analyzed COVID-19 patients in NYS from April 1st to November 17th, 2020, using Statewide Planning and Research Cooperative System (SPARCS) hospital discharge dataset. Logistic regression was performed to evaluate the risk factors for COVID-19 related fatal outcome using demographic variables, symptom, rapid clinical examination, and medical history of chronic co-morbid conditions. Logistic regression analysis showed that age was the greatest risk factor for COVID-19 related fatal outcome, which by itself achieved the diagnostic accuracy of 0.78 represented by the area under the ROC curve. By adding other demographic variables, dyspnea or hypoxemia and multiple chronic co-morbid conditions, the diagnostic accuracy was improved to 0.85. We selected cut-off points for predictors and provided a general recommendation to categorize the levels of risk for COVID-19 related fatal outcome. Further studies are warranted to evaluate laboratory tests and develop laboratory biomarkers to improve the diagnostic accuracy for early intervention.