Preprint Article Version 1 This version is not peer-reviewed

Predictive Accuracy of Early Warning Score 2 on Predicting Severe Morbidity and Mortality in Hospitalization for COVID-19 Patients: A Prospective Cohort Study

Version 1 : Received: 26 August 2024 / Approved: 27 August 2024 / Online: 27 August 2024 (08:59:53 CEST)

How to cite: Tarabeih, M.; Qaddumi, J.; Mohammad Tukhi, I.; Na'amnih, W. Predictive Accuracy of Early Warning Score 2 on Predicting Severe Morbidity and Mortality in Hospitalization for COVID-19 Patients: A Prospective Cohort Study. Preprints 2024, 2024081940. https://doi.org/10.20944/preprints202408.1940.v1 Tarabeih, M.; Qaddumi, J.; Mohammad Tukhi, I.; Na'amnih, W. Predictive Accuracy of Early Warning Score 2 on Predicting Severe Morbidity and Mortality in Hospitalization for COVID-19 Patients: A Prospective Cohort Study. Preprints 2024, 2024081940. https://doi.org/10.20944/preprints202408.1940.v1

Abstract

Background: Early risk stratification tools for COVID-19 patients were indicated but little is known about their ability to effectively detect clinical deterioration among COVID-19 patients. Objectives: To assess the prognostic accuracy of NEWS2 in predicting severe morbidity and mortality in hospitalization for COVID-19 patients. Methods: A prospective cohort study was performed among adult patients with a confirmed di-agnosis of COVID-19 who were admitted to the inpatient units at COVID-19 Martyrs Medical Military Complex and Palestinian Red Crescent Society Hospital, located at Nablus, Palestinian Authority. NEWS2 scores were measured at admission, on 6, 12, 24, and 48 hours after their ad-mission to the hospital using Receiver Operating Characteristic Curves (ROC). Results: Overall, 192 adult COVID-19 patients aged 25-94 years (mean=62.1, SD=13.9) were en-rolled. Of those, 49.0% were males, 47.4% were vaccinated, and 53.6% were with diabetes. The mean NEWS scores during the patient’s hospital stay were excellent predictors of mechanical ventilation, admission to the ICU, and mortality, as indicated by an AUROC of 0.94 (95% CI: 0.88-1.00, P

Keywords

NEWS2; COVID-19; Sensitivity; Predictive

Subject

Public Health and Healthcare, Public Health and Health Services

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.