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

covid
Credit: Pixabay/CC0 Public Domain

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 with the Biobanque Québécoise de la COVID-19 in Montreal, Quebec, Canada, researchers examined 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.

The research was published in The Annals of Family Medicine.

More information: Mark H. Ebell et al, External validation of the COVID-NoLab and COVID-SimpleLab prognostic tools, The Annals of Family Medicine (2022). DOI: 10.1370/afm.2872

Journal information: Annals of Family Medicine

Citation: New risk models may help doctors predict mortality in hospitalized COVID patients (2022, November 29) retrieved 7 February 2023 from https://medicalxpress.com/news/2022-11-doctors-mortality-hospitalized-covid-patients.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Cancer deaths due to COVID-19 explored in March to December 2020

16 shares

Feedback to editors