Utility of NEWS-2 in Predicting ICU Admission from Emergency Department and Mortality Risk: A Prospective Cohort Study

Authors

  • Dhanajay Mapari Institution: Datta Meghe Instituition Of Medical Sciences Nagpur Study Period: January 2024 - June 2025 (18 months)
  • Hemant Deshpande Institution: Datta Meghe Instituition Of Medical Sciences Nagpur Study Period: January 2024 - June 2025 (18 months)
  • Chaitanya Jadhav Institution: Datta Meghe Instituition Of Medical Sciences Nagpur Study Period: January 2024 - June 2025 (18 months)

DOI:

https://doi.org/10.48165/ajm.2026.9.01.6

Keywords:

NEWS-2; emergency department; ICU admission; mortality prediction; early warning score; critical care; triage

Abstract

Background: The National Early Warning Score 2 (NEWS-2) is a standardized clinical tool designed to detect acute deterioration in hospitalized patients. Its utility in predicting critical outcomes directly from the emergency department (ED) remains an area of active investigation. Methods: A prospective cohort study was conducted at a tertiary care hospital over 18 months, enrolling 847 adult patients presenting to the ED. NEWS-2 scores were calculated upon arrival, and patients were followed until hospital discharge or death. Primary outcomes included ICU admission within 48 hours and 30-day in-hospital mortality. Receiver operating characteristic (ROC) curve analysis, logistic regression, and survival analysis were performed. Results: The mean age was 58.4 ± 16.7 years, with 54.3% male patients. The mean NEWS 2 score was 5.8 ± 3.4. ICU admission occurred in 127 patients (15.0%), and 30-day mortality was 8.7% (n=74). Patients requiring ICU admission had significantly higher NEWS-2 scores (9.2 ± 2.8 vs. 5.2 ± 3.1, p<0.001). The area under the ROC curve (AUC) for predicting ICU admission was 0.847 (95% CI: 0.812–0.882), and for mortality was 0.891 (95% CI: 0.854–0.928). A NEWS-2 score ≥7 demonstrated 78.7% sensitivity and 81.2% specificity for ICU admission prediction. Conclusion: NEWS-2 scores at ED presentation demonstrate excellent discriminatory ability for predicting ICU admission and mortality, supporting its implementation as a triage and risk stratification tool in emergency settings

References

Pimentel MAF, Redfern OC, Gerry S, et al. A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study. Resuscitation. 2019;134:147-156. doi:10.1016/j.resuscitation.2018.09.026

Smith GB, Prytherch DR, Meredith P, et al. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013;84(4):465-470. doi:10.1016/j.resuscitation.2012.12.016

Subbe CP, Kruger M, Rutherford P, et al. Validation of a modified Early Warning Score in medical admissions. QJM. 2001;94(10):521-526. doi:10.1093/qjmed/94.10.521

Royal College of Physicians. National Early Warning Score (NEWS): Standardising the assessment of acute-illness severity in the NHS. London (UK): RCP; 2012.

Royal College of Physicians. National Early Warning Score (NEWS) 2: Standardising the assessment of acute-illness severity in the NHS. London (UK): RCP; 2017. Available from: https://www.rcplondon.ac.uk/projects/outputs/national-early-warning-score-news-2

Kovacs C, Jarvis SW, Prytherch DR, et al. Comparison of the National Early Warning Score in non-elective medical and surgical patients. Br J Surg. 2016;103(10):1385-1393. doi:10.1002/bjs.10267

Alam N, Hobbelink EL, van Tienhoven AJ, et al. The impact of the use of the Early Warning Score (EWS) on patient outcomes: A systematic review. Resuscitation. 2014;85(5):587-594. doi:10.1016/j.resuscitation.2014.01.013

Churpek MM, Yuen TC, Winslow C, et al. Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards. Crit Care Med. 2016;44(2):368-374. doi:10.1097/CCM.0000000000001571

Silcock DJ, Corfield AR, Gowens PA, et al. Validation of the National Early Warning Score in the prehospital setting. Resuscitation. 2015;89:31-35. doi:10.1016/j.resuscitation.2014.12.029

Spångfors M, Arvidsson L, Karlsson V, et al. The National Early Warning Score: Translation, testing and prediction in a Swedish setting. Intensive Crit Care Nurs. 2016;37:62-67. doi:10.1016/j.iccn.2016.05.007

Goulden R, Hoyle MC, Monis J, et al. qSOFA, SIRS and NEWS for predicting in-hospital mortality and ICU admission in emergency admissions treated as sepsis. Emerg Med J. 2018;35(6):345-349. doi:10.1136/emermed-2017-207120

Bilben B, Grandal L, Søvik S. National Early Warning Score (NEWS) as an emergency department predictor of disease severity and 90-day survival in the acutely dyspneic patient: A prospective observational study. Scand J Trauma Resusc Emerg Med. 2016;24:80. doi:10.1186/s13049-016-0273-9

Brink A, Alsma J, Verdonschot RJCG, et al. Predicting mortality in patients with suspected sepsis at the emergency department: A retrospective cohort study comparing qSOFA, SIRS and National Early Warning Score. PLoS One. 2019;14(1):e0211133. doi:10.1371/journal.pone.0211133

Churpek MM, Snyder A, Han X, et al. Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected patients outside the intensive care unit. Am J Respir Crit Care Med. 2017;195(7):906-911. doi:10.1164/rccm.201604-0854OC

Abbott TEF, Cron N, Vaid N, et al. Pre-hospital National Early Warning Score (NEWS) is associated with in-hospital mortality and critical care unit admission: A cohort study. Ann Med Surg (Lond). 2018;27:17-21. doi:10.1016/j.amsu.2018.01.006

Mellhammar L, Linder A, Tverring J, et al. NEWS2 is superior to qSOFA in detecting sepsis with organ dysfunction in the emergency department. J Clin Med. 2019;8(8):1128. doi:10.3390/jcm8081128

Keep JW, Messmer AS, Sladden R, et al. National Early Warning Score at emergency department triage may allow earlier identification of patients with severe sepsis and septic shock: A retrospective observational study. Emerg Med J. 2016;33(1):37-41. doi:10.1136/emermed-2014-204465

Fernando SM, Fox-Robichaud AE, Engel J, et al. Prognostic accuracy of the Quick Sequential Organ Failure Assessment for mortality in patients with suspected infection: A systematic review and meta-analysis. Ann Intern Med. 2018;168(4):266-275. doi:10.7326/M17-2820

Published

2026-02-25

How to Cite

Utility of NEWS-2 in Predicting ICU Admission from Emergency Department and Mortality Risk: A Prospective Cohort Study. (2026). Academia Journal of Medicine, 9(1), 20-25. https://doi.org/10.48165/ajm.2026.9.01.6