Predictive Value of 5 Early Warning Scores for Critical COVID-19 Patients.
Disaster Med Public Health Prep
; 16(1): 232-239, 2022 02.
Article
in English
| MEDLINE | ID: covidwho-899761
ABSTRACT
OBJECTIVES:
A simple evaluation tool for patients with novel coronavirus disease 2019 (COVID-19) could assist the physicians to triage COVID-19 patients effectively and rapidly. This study aimed to evaluate the predictive value of 5 early warning scores based on the admission data of critical COVID-19 patients.METHODS:
Overall, medical records of 319 COVID-19 patients were included in the study. Demographic and clinical characteristics on admission were used for calculating the Standardized Early Warning Score (SEWS), National Early Warning Score (NEWS), National Early Warning Score2 (NEWS2), Hamilton Early Warning Score (HEWS), and Modified Early Warning Score (MEWS). Data on the outcomes (survival or death) were collected for each case and extracted for overall and subgroup analysis. Receiver operating characteristic curve analyses were performed.RESULTS:
The area under the receiver operating characteristic curve for the SEWS, NEWS, NEWS2, HEWS, and MEWS in predicting mortality were 0.841 (95% CI 0.765-0.916), 0.809 (95% CI 0.727-0.891), 0.809 (95% CI 0.727-0.891), 0.821 (95% CI 0.748-0.895), and 0.670 (95% CI 0.573-0.767), respectively.CONCLUSIONS:
SEWS, NEWS, NEWS2, and HEWS demonstrated moderate discriminatory power and, therefore, offer potential utility as prognostic tools for screening severely ill COVID-19 patients. However, MEWS is not a good prognostic predictor for COVID-19.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Early Warning Score
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Disaster Med Public Health Prep
Journal subject:
Public Health
Year:
2022
Document Type:
Article
Affiliation country:
Dmp.2020.324
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