The association of national early warning score 2 (NEWS2) to in-hospital mortality of patients visiting emergency department
Abstract
Background : In each year, there were a lot of patients visiting emergency department so triage and monitoring were necessary. Some patients got worse after they were triaged. This study was designed to use national early warning score 2 (NEWS2) in emergency department to predict 24 hours death.
Objectives : This study aims to determine the ability of National Early Warning Score2 (NEWS2) to prognosticate in-hospital mortality within 24 hours
Methods : A single-center prospective observational study was conducted in Chonburi hospital, a tertiary-care center, over a month. We enrolled all adult patients admitted to the hospital. Their physiologic parameters were recorded at the beginning of treatment to the time of admission. NEWS2 was subsequently calculated into initial NEWS2 and final NEWS2. Logistic regression models and the Area Under Receiver Operating Characteristic (AUROC) quantified the association between outcomes and NEWS2.
Result : 407 patients were enrolled to the study. Final NEWS2 was a better predictor for in-hospital mortality (RR 2.07; 95%CI 1.6-2.68, P< 0.001) which the AUROC was 0.94 (95%CI 0.90-0.97, P< 0.05). Additionally, A final NEWS2 of 5 or more exhibited a sensitivity of 100% and a specificity of 71.9% to detect in-hospital mortality within 24 hours.
Conclusion : NEWS2 is a fundamental and practical tool of healthcare providers for predicting in-hospital mortality within 24 hours.
References
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