Comparison of Prognostic Accuracy of Quick Sequential Organ Failure Assessment (qSOFA) Score and National Early Warning Score-2 (NEWS-2) to Predict Mortality in Patients with Sepsis or Suspected Sepsis in Emergency Department (Code-T0329)
Keywords:
Sepsis, qSOFA, NEWS-2, Mortality Prediction, Emergency Medicine, Prognostic Accuracy.Synopsis
Introduction: Sepsis is a life-threatening condition characterized by organ dysfunction due to a
dysregulated host response to infection. Early identification and risk stratification are critical for
improving patient outcomes. Quick Sequential Organ Failure Assessment (qSOFA) and National
Early Warning Score-2 (NEWS-2) are widely used scoring systems for predicting mortality in
sepsis patients. While qSOFA is commonly utilized outside intensive care settings, NEWS-2 has
been recognized for its superior predictive accuracy in emergency settings. This study aims to
compare the prognostic accuracy of these two scoring systems in predicting in-hospital mortality
among patients with sepsis or suspected sepsis.
Aims and Objectives
Aim:
To compare the prognostic accuracy of Quick Sequential Organ Failure Assessment (qSOFA)
score and National Early Warning Score-2 (NEWS-2) in predicting mortality in patients with
sepsis or suspected sepsis.
Objectives:
To investigate the role of qSOFA in predicting mortality during hospitalization in patients
with sepsis or suspected sepsis presenting to the emergency department.
To examine the effectiveness of NEWS-2 in predicting in-hospital mortality in patients
with sepsis or suspected sepsis.
To compare qSOFA and NEWS-2 in their ability to predict in-hospital deaths among
sepsis patients.
Methods: A prospective observational study will be conducted in the Emergency Medicine
Department at Rajshree Medical Research Institute, Bareilly. Patients aged >16 years with
suspected or confirmed sepsis will be enrolled. qSOFA and NEWS-2 scores will be recorded at
admission, and their prognostic accuracy will be assessed based on in-hospital mortality
outcomes. Statistical analysis will be performed using SPSS software.
Results: The study anticipates that NEWS-2 will demonstrate superior predictive accuracy
compared to qSOFA, aligning with existing literature suggesting its enhanced sensitivity for
early sepsis detection.
Conclusion: Both qSOFA and NEWS-2 serve as valuable tools for sepsis prognostication.
However, NEWS-2 may offer improved accuracy in predicting mortality, supporting its
integration into emergency clinical protocols.
Keywords: Sepsis, qSOFA, NEWS-2, Mortality Prediction, Emergency Medicine, Prognostic
Accuracy.
