PROGNOSTIC VALUE OF EARLY WARNING SCORES IN PREDICTING IN HOSPITAL MORTALITY AMONG COVID-19 PATIENTS IN AN EMERGENCY DEPARTMENT-Reference-Cited by-同舟云学术

PROGNOSTIC VALUE OF EARLY WARNING SCORES IN PREDICTING IN HOSPITAL MORTALITY AMONG COVID-19 PATIENTS IN AN EMERGENCY DEPARTMENT

Published:2023 Issue:1 Volume:10 Page:5-13
ISSN:2391-7822
Container-title:Emergency Medical Service
language:en
Short-container-title:Emerg Med Serv

Author:

Butkiewicz Sławomir¹,Dobosz Paula²,Tuka Anna³,Gałązkowski Robert⁴,Rzońca Patryk⁵

Affiliation:

1. EMERGENCY DEPARTMENT, EMERGENCY DEPARTMENT, CENTRAL CLINICAL HOSPITAL OF THE MINISTRY OF INTERIOR AFFAIRS AND ADMINISTRATION, WARSAW, POLAND

2. DEPARTMENT OF GENETICS AND GENOMICS, CENTRAL CLINICAL HOSPITAL OF THE MINISTRY OF INTERIOR AFFAIRS AND ADMINISTRATION IN WARSAW, WARSAW, POLAND

3. DEPARTMENT OF AUTOMATIC CONTROL AND ROBOTICS, SILESIAN UNIVERSITY OF TECHNOLOGY, POLAND

4. DEPARTMENT OF EMERGENCY MEDICAL SERVICES, MEDICAL UNIVERSITY OF WARSAW, WARSAW, POLAND

5. DEPARTMENT OF HUMAN ANATOMY, MEDICAL UNIVERSITY OF WARSAW, WARSAW, POLAND

Abstract

Aim: The emergence of a new pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a surge of new patients requiring hospitalisation. The rapid identification of patients with severe SARS-CoV-2 infection has become a key challenge for healthcare systems. The aim of the study was to assess the prognostic value of early warning scores in predicting mortality in COVID-19 patients. Material and methods: The study involved a retrospective analysis of the medical records of 2,449 patients with COVID-19 admitted to emergency care, for whom five early warning scores were calculated based on the data obtained. Results: In order to assess the usefulness of NEWS, NEWS2, MEWS, SEWS and qSOFA in predicting in-hospital mortality in COVID-19 patients, AUC (area under the ROC curve) values were calculated. They were, respectively: 0.76 (95% CI 0.72-0.79), 0.75 (95% CI 0.72-0.79), 0.64 (95% CI 0.60-0.69), 0.61 (95% CI 0.57- 0.66) and 0.55 (95% CI 0.50-0.59). Conclusions: NEWS demonstrated the highest discriminatory power, indicating that it can be used to predict in-hospital mortality in COVID-19 patients.

Publisher

ALUNA

Subject

General Earth and Planetary Sciences,General Environmental Science

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