The National Early Warning Score – NEWS is a “track and trigger” scale designed to assess in-hospital patients’ vital signs and detect clinical deterioration. In this study the NEWS was translated into Swedish and its association with the need of intensive care was investigated. A total of 868 patient charts, recorded by the medical emergency team at a university hospital, containing the parameters needed to calculate the NEWS were audited. The NEWS was translated into Swedish and tested for inter-rater reliability with a perfect agreement (weighted κ = 1.0) among the raters. The median score for patients admitted to the ICU were higher than for those who were not (10 vs. 8, p < 0.0001). AUROC for discriminating admittance to the ICU was 0....
Item does not contain fulltextAIMS AND OBJECTIVES: To determine the predictive value of individual a...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...
The National Early Warning Score – NEWS is a “track and trigger” scale designed to assess in-hospita...
BackgroundDeviating vital signs have been known to precede Serious Adverse Events (SAEs) like In-Hos...
Aim: Early identification of patients at risk of serious adverse events (SAEs) is of vital importanc...
Aim: Early identification of patients at risk of serious adverse events (SAEs) is of vital importanc...
Research suggests that a patient suffering from a cardiac and/or respiratory arrest usually exhibits...
This thesis investigates the role of the national early warning score (news) in identifying and pred...
Aim We aimed to assess the performance of the National Early Warning Score (NEWS) as tool for patie...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Background National Early Warning Score (NEWS) was designed to detect deteriorating ...
Pia Katrin Klepstad,1 Trond Nordseth,2,3 Normunds Sikora,4 Pål Klepstad2,5 1Faculty of Medici...
Item does not contain fulltextAIMS AND OBJECTIVES: To determine the predictive value of individual a...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...
The National Early Warning Score – NEWS is a “track and trigger” scale designed to assess in-hospita...
BackgroundDeviating vital signs have been known to precede Serious Adverse Events (SAEs) like In-Hos...
Aim: Early identification of patients at risk of serious adverse events (SAEs) is of vital importanc...
Aim: Early identification of patients at risk of serious adverse events (SAEs) is of vital importanc...
Research suggests that a patient suffering from a cardiac and/or respiratory arrest usually exhibits...
This thesis investigates the role of the national early warning score (news) in identifying and pred...
Aim We aimed to assess the performance of the National Early Warning Score (NEWS) as tool for patie...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Introduction Early warning scores are commonly used in hospitals to identify patients at risk of det...
Background National Early Warning Score (NEWS) was designed to detect deteriorating ...
Pia Katrin Klepstad,1 Trond Nordseth,2,3 Normunds Sikora,4 Pål Klepstad2,5 1Faculty of Medici...
Item does not contain fulltextAIMS AND OBJECTIVES: To determine the predictive value of individual a...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...
Aim: To examine whether early warning scores (EWS) can accurately predict critical illness in the pr...