scholarly journals Chief physicians' attitudes towards early warning score systems in Switzerland: Results of a cross-sectional survey

2017 ◽  
Vol 24 (2) ◽  
pp. 331-337
Author(s):  
Aline Richard ◽  
Olga Frank ◽  
David Schwappach
Keyword(s):  
Early Warning ◽  
Early Warning Score ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Score Systems

scholarly journals Use of the first National Early Warning Score recorded within 24 hours of admission to estimate the risk of in-hospital mortality in unplanned COVID-19 patients: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043721
Author(s):  
Donald Richardson ◽  
Muhammad Faisal ◽  
Massimo Fiori ◽  
Kevin Beatson ◽  
Mohammed Mohammed
Keyword(s):  
Hospital Mortality ◽  
Early Warning ◽  
Absolute Risk ◽  
Cross Sectional Study ◽  
Early Warning Score ◽  
Cross Sectional ◽  
Risk Of Mortality ◽  
Baseline Mortality ◽  
Acute Hospitals ◽  
National Early Warning Score

ObjectivesAlthough the National Early Warning Score (NEWS) and its latest version NEWS2 are recommended for monitoring deterioration in patients admitted to hospital, little is known about their performance in COVID-19 patients. We aimed to compare the performance of the NEWS and NEWS2 in patients with COVID-19 versus those without during the first phase of the pandemic.DesignA retrospective cross-sectional study.SettingTwo acute hospitals (Scarborough and York) are combined into a single dataset and analysed collectively.ParticipantsAdult (≥18 years) non-elective admissions discharged between 11 March 2020 and 13 June 2020 with an index or on-admission NEWS2 electronically recorded within ±24 hours of admission to predict mortality at four time points (in-hospital, 24 hours, 48 hours and 72 hours) in COVID-19 versus non-COVID-19 admissions.ResultsOut of 6480 non-elective admissions, 620 (9.6%) had a diagnosis of COVID-19. They were older (73.3 vs 67.7 years), more often male (54.7% vs 50.1%), had higher index NEWS (4 vs 2.5) and NEWS2 (4.6 vs 2.8) scores and higher in-hospital mortality (32.1% vs 5.8%). The c-statistics for predicting in-hospital mortality in COVID-19 admissions was significantly lower using NEWS (0.64 vs 0.74) or NEWS2 (0.64 vs 0.74), however, these differences reduced at 72hours (NEWS: 0.75 vs 0.81; NEWS2: 0.71 vs 0.81), 48 hours (NEWS: 0.78 vs 0.81; NEWS2: 0.76 vs 0.82) and 24hours (NEWS: 0.84 vs 0.84; NEWS2: 0.86 vs 0.84). Increasing NEWS2 values reflected increased mortality, but for any given value the absolute risk was on average 24% higher (eg, NEWS2=5: 36% vs 9%).ConclusionsThe index or on-admission NEWS and NEWS2 offers lower discrimination for COVID-19 admissions versus non-COVID-19 admissions. The index NEWS2 was not proven to be better than the index NEWS. For each value of the index NEWS/NEWS2, COVID-19 admissions had a substantially higher risk of mortality than non-COVID-19 admissions which reflects the increased baseline mortality risk of COVID-19.

scholarly journals A national cross sectional survey of heads of midwifery services of uptake, benefits and barriers to use of obstetric early warning systems (EWS) by midwives

Midwifery ◽  
2014 ◽  
Vol 30 (11) ◽  
pp. 1140-1146 ◽  
Author(s):  
Debra E. Bick ◽  
Jane Sandall ◽  
Marie Furuta ◽  
Michael Y.K. Wee ◽  
Richard Isaacs ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Barriers To Use

scholarly journals Development and validation of early warning score systems for COVID‐19 patients

2021 ◽  
Author(s):  
Alexey Youssef ◽  
Samaneh Kouchaki ◽  
Farah Shamout ◽  
Jacob Armstrong ◽  
Rasheed El‐Bouri ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning Score ◽  
Development And Validation ◽  
Score Systems

Pediatric Early Warning Score Systems, Nurses Perspective – A Focus Group Study

2018 ◽  
Vol 41 ◽  
pp. e16-e22 ◽  
Author(s):  
Claus Sixtus Jensen ◽  
Pia Bonde Nielsen ◽  
Hanne Vebert Olesen ◽  
Hans Kirkegaard ◽  
Hanne Aagaard
Keyword(s):  
Focus Group ◽  
Early Warning ◽  
Early Warning Score ◽  
Focus Group Study ◽  
Score Systems

scholarly journals FACTORS ASSOCIATED WITH THE CLINICAL DETERIORATION RECOGNIZED BY AN EARLY WARNING PEDIATRIC SCORE

2020 ◽  
Vol 29 ◽  
Author(s):  
Juliana de Oliveira Freitas Miranda ◽  
Climene Laura de Camargo ◽  
Carlito Lopes Nascimento Sobrinho ◽  
Daniel Sales Portela ◽  
Paloma de Sousa Pinho ◽  
...  
Keyword(s):  
Respiratory Disease ◽  
Early Warning ◽  
Statistical Significance ◽  
Prevalence Ratio ◽  
Clinical Deterioration ◽  
Early Warning Score ◽  
P Value ◽  
Emergency Unit ◽  
Cross Sectional ◽  
Factors Associated

ABSTRACT Objective: To identify the factors associated with clinical deterioration recognized by a Pediatric Early Warning Score. Method: A cross-sectional study conducted in a tertiary pediatric public hospital with 271 children aged from zero to ten, hospitalized between May and October 2015. For the identification of the children with and without signs of clinical deterioration, the translated, adapted and validated version of the Brighton Pediatric Early Warning Score was applied to the Brazilian context. Logistic regression analysis and prevalence ratio (PR) were used to measure the association between the variables studied. A 95% Confidence Interval (CI) and p value were adopted as a measure of statistical significance to identify potential associated factors. Results: The factors associated with the clinical deterioration of the children studied were age ≤ 2 years old (p=0.000), hospitalization in the emergency unit (p=0.000), comorbidity (p=0.020) and clinical diagnosis of respiratory disease (p=0.000). Conclusion: Children ≤ 2 years old, with comorbidity, diagnosed with respiratory disease and hospitalized in the emergency unit showed an increased likelihood of clinical deterioration. The identification of factors associated with clinical deterioration may alert and direct the health team to children more susceptible to this phenomenon.

scholarly journals Development and Validation of Early Warning Score Systems for COVID-19 Patients

2020 ◽  
Author(s):  
Alexey Youssef ◽  
Samaneh Kouchaki ◽  
Farah Shamout ◽  
Jacob Armstrong ◽  
Rasheed El-Bouri ◽  
...  
Keyword(s):  
Early Warning ◽  
Vital Signs ◽  
Early Warning Score ◽  
Respiratory Support ◽  
Patient Treatment ◽  
Gradient Boosting ◽  
Non Invasive ◽  
Non Invasive Ventilation ◽  
Development And Validation ◽  
Score Systems

AbstractCOVID-19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of October 2020. Predicting which patients will need respiratory support is important to guiding individual patient treatment and also to ensuring sufficient resources are available. We evaluated the ability of six common Early Warning Scores (EWS) to identify respiratory deterioration defined as the need for advanced respiratory support (high-flow nasal oxygen, continuous positive airways pressure, non-invasive ventilation, intubation) within a prediction window of 24 hours. We show these scores perform sub-optimally at this specific task. Therefore, we develop an alternative Early Warning Score based on a Gradient Boosting Trees (GBT) algorithm that is able to predict deterioration within the next 24 hours with high AUROC 94% and an accuracy, sensitivity and specificity of 70%, 96%, 70%, respectively. Our GBT model outperformed the best EWS (LDTEWS:NEWS), increasing the AUROC by 14%. Our GBT model makes the prediction based on the current and baseline measures of routinely available vital signs and blood tests.

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