Prognostic value of early warning scores in the emergency department (ED) and acute medical unit (AMU): a narrative review

RSN Panday, TC Minderhoud, N Alam… - European journal of …, 2017 - Elsevier
Background A wide array of early warning scores (EWS) have been developed and are
used in different settings to detect which patients are at risk of deterioration. The aim of this …

The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis

G Guan, CMY Lee, S Begg, A Crombie… - PLoS …, 2022 - journals.plos.org
Background It is unclear which Early Warning System (EWS) score best predicts in-hospital
deterioration of patients when applied in the Emergency Department (ED) or prehospital …

Scoping review: the use of early warning systems for the identification of in-hospital patients at risk of deterioration

MD Le Lagadec, T Dwyer - Australian Critical Care, 2017 - Elsevier
Introduction Early warning systems (EWS) were developed as a means of alerting medical
staff to patient clinical decline. Since 85% of severe adverse events are preceded by …

Early warning scores do not accurately predict mortality in sepsis: a meta-analysis and systematic review of the literature

F Hamilton, D Arnold, A Baird, M Albur, P Whiting - Journal of Infection, 2018 - Elsevier
Abstract Objectives Early Warning Scores are used to evaluate patients in many hospital
settings. It is not clear if these are accurate in predicting mortality in sepsis. We performed a …

Performance assessment of the mortality in emergency department sepsis score, modified early warning score, rapid emergency medicine score, and rapid acute …

SH Chang, CH Hsieh, YM Weng… - BioMed research …, 2018 - Wiley Online Library
Background. Renal abscess is a relatively uncommon yet debilitating and potentially fatal
disease. There is no clearly defined, objective risk stratification tool available for emergency …

Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics

CY Cheng, CT Kung, FC Chen, IM Chiu… - Frontiers in …, 2022 - frontiersin.org
Purpose To build machine learning models for predicting the risk of in-hospital death in
patients with sepsis within 48 h, using only dynamic changes in the patient's vital signs …

Internal validation and comparison of the prognostic performance of models based on six emergency scoring systems to predict in-hospital mortality in the emergency …

Z Rahmatinejad, F Tohidinezhad… - BMC Emergency …, 2021 - Springer
Background Medical scoring systems are potentially useful to make optimal use of available
resources. A variety of models have been developed for illness measurement and …

[HTML][HTML] Validation of the National Early Warning Score (NEWS)-2 for adults in the emergency department in a tertiary-level clinic in Colombia: Cohort study

P Vergara, D Forero, A Bastidas, JC Garcia, J Blanco… - Medicine, 2021 - journals.lww.com
Abstract The National Early Warning Score (NEWS)-2 is an early warning scale that is used
in emergency departments to identify patients at risk of clinical deterioration and to help …

The effectiveness of physiologically based early warning or track and trigger systems after triage in adult patients presenting to emergency departments: a systematic …

F Wuytack, P Meskell, A Conway, F McDaid… - BMC emergency …, 2017 - Springer
Background Changes to physiological parameters precede deterioration of ill patients. Early
warning and track and trigger systems (TTS) use routine physiological measurements with …

[HTML][HTML] Prognostic value of CD4+ CD25+ Tregs as a valuable biomarker for patients with sepsis in ICU

K Chen, Q Zhou, H Shan, W Li, Z Lin - World journal of emergency …, 2015 - ncbi.nlm.nih.gov
BACKGROUND: Sepsis is a common complication of infections, burns, traumas, surgeries,
poisonings, and post-cardiopulmonary resuscitation. The present study aimed to investigate …