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National early warning score 2 is superior to quick sequential organ failure assessment in predicting mortality in sepsis patients presenting to the emergency department in India: A prospective observational study.

Authors :
Verma, Ankur
Farooq, Aasiya
Jaiswal, Sanjay
Haldar, Meghna
Sheikh, Wasil
Khanna, Palak
Vishen, Amit
Ahuja, Rinkey
Khatai, Abbas
Prasad, Nilesh
Source :
International Journal of Critical Illness & Injury Science. Jan-Mar2023, Vol. 13 Issue 1, p26-31. 6p.
Publication Year :
2023

Abstract

Background: High in-hospital mortality in sepsis patients remains challenging for clinicians worldwide. Early recognition, prognostication, and aggressive management are essential for treating septic patients. Many scores have been formulated to guide clinicians to predict the early deterioration of such patients. Our objective was to compare predictive values of quick Sequential Organ Failure Assessment (qSOFA) and National Early Warning Score 2 (NEWS2) with respect to in-hospital mortality. Methods: This prospective observational study was conducted in a tertiary care center in India. Adults with suspected infection with at least two Systemic Inflammatory Response Syndrome criteria presenting to the emergency department (ED) were enrolled. NEWS2 and qSOFA scores were calculated, and patients were followed until their primary outcome of mortality or hospital discharge. The diagnostic accuracy of qSOFA and NEWS2 for predicting mortality was analyzed. Results: Three hundred and seventy-three patients were enrolled. Overall mortality was 35.12%. A majority of patients had LOS between 2 and 6 days (43.70%). NEWS2 had higher area under curve at 0.781 (95% confidence interval [CI] (0.59, 0.97)) than qSOFA at 0.729 (95% CI [0.51, 0.94]), with P < 0.001. Sensitivity, specificity, and diagnostic efficiency to predict mortality by NEWS2 were 83.21% (95% CI [83.17%, 83.24%]); 57.44% (95% CI [57.39%, 57.49%]); and 66.48% (95% CI [66.43%, 66.53%]), respectively. qSOFA score had sensitivity, specificity, and diagnostic efficiency to predict mortality of 77.10% (95% CI [77.06%, 77.14%]); 42.98% (95% CI [42.92%, 43.03%]); and 54.95% (95% CI [54.90%, 55.00%]), respectively. Conclusion: NEWS2 is superior to qSOFA in predicting in-hospital mortality for sepsis patients presenting to the ED in India. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22295151
Volume :
13
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Critical Illness & Injury Science
Publication Type :
Academic Journal
Accession number :
163162004
Full Text :
https://doi.org/10.4103/ijciis.ijciis_41_22