News Release

New risk models may help doctors predict mortality in hospitalized COVID patients

External validation of the COVID-NoLab and COVID-SimpleLab prognostic tools

Peer-Reviewed Publication

American Academy of Family Physicians

As the COVID-19 pandemic continues, researchers have developed and validated two simple risk measurement tools to help clinicians more accurately estimate a hospitalized patient’s COVID-19 risk of death. The two measurement models are called COVID-NoLab and COVID-SimpleLab. In collaboration with the Biobanque Québécoise de la COVID-19 in Montreal, Quebec, Canada, researchers examined patient records of individuals receiving care for COVID-19 in 11 hospitals between March 2020 and February 2021. Patient records were separated into two groups, and each patient record was categorized as low-, moderate-, or high-risk, identified from both the COVID-NoLab and COVID-SimpleLab models. 

Researchers found the two scoring systems could predict patient mortality rates with reasonable accuracy, offering clinicians a reliable way to quickly identify low-risk patients who could potentially be managed as outpatients in the event of a bed shortage. These prediction models may help decrease unnecessary hospital admissions during COVID-19 surges. 

External Validation of the COVID-NoLab and COVID-SimpleLab Prognostic Tools
Mark H. Ebell M.D., MS, et al
Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia


Pre-embargo article link
Permanent link

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.