scholarly journals A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows

Author(s):  
Mark Holland ◽  
John Kellett
Resuscitation ◽  
2018 ◽  
Vol 132 ◽  
pp. 101-111 ◽  
Author(s):  
Rita Patel ◽  
Manjula D. Nugawela ◽  
Hannah B. Edwards ◽  
Alison Richards ◽  
Hein Le Roux ◽  
...  

Resuscitation ◽  
2016 ◽  
Vol 102 ◽  
pp. 35-43 ◽  
Author(s):  
Teresa A. Williams ◽  
Hideo Tohira ◽  
Judith Finn ◽  
Gavin D. Perkins ◽  
Kwok M. Ho

2018 ◽  
Vol 7 (10) ◽  
pp. 309 ◽  
Author(s):  
Romesh Jayasundera ◽  
Mark Neilly ◽  
Toby Smith ◽  
Phyo Myint

Background: Early warning scores (EWSs) are used to identify deteriorating patients for appropriate interventions. We performed a systematic review to examine the usefulness of EWSs in predicting inpatient mortality and morbidity (transfer to higher-level care and length of hospital stay) in older people admitted to acute medical units with sepsis, acute cardiovascular events, or pneumonia. Methods: A systematic review of published and unpublished databases was conducted. Cochrane′s tool for assessing Risk of Bias in Non-Randomised Studies—of Interventions (ROBINS-I) was used to appraise the evidence. A narrative synthesis was performed due to substantial heterogeneity. RESULTS: Five studies (n = 12,057) were eligible from 1033 citations. There was an overall “moderate” risk of bias for all studies. The predictive ability of EWSs regarding mortality was reported in one study (n = 274), suggesting EWSs were better at predicting survival, (negative predictive value >90% for all scores). Three studies (n = 1819) demonstrated a significant association between increasing modified EWSs (MEWSs) and increased risk of mortality. Hazards ratios for a composite death/intensive care (ICU) admission with MEWSs ≥5 were significant in one study (p = 0.003). Two studies (n = 1421) demonstrated that a MEWS ≥6 was associated with 21 times higher probability of mortality (95% Confidence Interval (CI): 2.71–170.57) compared with a MEWS ≤1. A MEWS of ≥5 was associated with 22 times higher probability of mortality (95% CI: 10.45–49.16). Conclusion: Increasing EWSs are strongly associated with mortality and ICU admission in older acutely unwell patients. Future research should be targeted at better understanding the usefulness of high and increasing EWSs for specific acute illnesses in older adults.


BMJ ◽  
2020 ◽  
pp. m1501 ◽  
Author(s):  
Stephen Gerry ◽  
Timothy Bonnici ◽  
Jacqueline Birks ◽  
Shona Kirtley ◽  
Pradeep S Virdee ◽  
...  

AbstractObjectiveTo provide an overview and critical appraisal of early warning scores for adult hospital patients.DesignSystematic review.Data sourcesMedline, CINAHL, PsycInfo, and Embase until June 2019.Eligibility criteria for study selectionStudies describing the development or external validation of an early warning score for adult hospital inpatients.Results13 171 references were screened and 95 articles were included in the review. 11 studies were development only, 23 were development and external validation, and 61 were external validation only. Most early warning scores were developed for use in the United States (n=13/34, 38%) and the United Kingdom (n=10/34, 29%). Death was the most frequent prediction outcome for development studies (n=10/23, 44%) and validation studies (n=66/84, 79%), with different time horizons (the most frequent was 24 hours). The most common predictors were respiratory rate (n=30/34, 88%), heart rate (n=28/34, 83%), oxygen saturation, temperature, and systolic blood pressure (all n=24/34, 71%). Age (n=13/34, 38%) and sex (n=3/34, 9%) were less frequently included. Key details of the analysis populations were often not reported in development studies (n=12/29, 41%) or validation studies (n=33/84, 39%). Small sample sizes and insufficient numbers of event patients were common in model development and external validation studies. Missing data were often discarded, with just one study using multiple imputation. Only nine of the early warning scores that were developed were presented in sufficient detail to allow individualised risk prediction. Internal validation was carried out in 19 studies, but recommended approaches such as bootstrapping or cross validation were rarely used (n=4/19, 22%). Model performance was frequently assessed using discrimination (development n=18/22, 82%; validation n=69/84, 82%), while calibration was seldom assessed (validation n=13/84, 15%). All included studies were rated at high risk of bias.ConclusionsEarly warning scores are widely used prediction models that are often mandated in daily clinical practice to identify early clinical deterioration in hospital patients. However, many early warning scores in clinical use were found to have methodological weaknesses. Early warning scores might not perform as well as expected and therefore they could have a detrimental effect on patient care. Future work should focus on following recommended approaches for developing and evaluating early warning scores, and investigating the impact and safety of using these scores in clinical practice.Systematic review registrationPROSPERO CRD42017053324.


BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e045849
Author(s):  
Baneen Alhmoud ◽  
Timothy Bonnici ◽  
Riyaz Patel ◽  
Daniel Melley ◽  
Bryan Williams ◽  
...  

ObjectiveTo assess predictive performance of universal early warning scores (EWS) in disease subgroups and clinical settings.DesignSystematic review.Data sourcesMedline, CINAHL, Embase and Cochrane database of systematic reviews from 1997 to 2019.Inclusion criteriaRandomised trials and observational studies of internal or external validation of EWS to predict deterioration (mortality, intensive care unit (ICU) transfer and cardiac arrest) in disease subgroups or clinical settings.ResultsWe identified 770 studies, of which 103 were included. Study designs and methods were inconsistent, with significant risk of bias (high: n=16 and unclear: n=64 and low risk: n=28). There were only two randomised trials. There was a high degree of heterogeneity in all subgroups and in national early warning score (I2=72%–99%). Predictive accuracy (mean area under the curve; 95% CI) was highest in medical (0.74; 0.74 to 0.75) and surgical (0.77; 0.75 to 0.80) settings and respiratory diseases (0.77; 0.75 to 0.80). Few studies evaluated EWS in specific diseases, for example, cardiology (n=1) and respiratory (n=7). Mortality and ICU transfer were most frequently studied outcomes, and cardiac arrest was least examined (n=8). Integration with electronic health records was uncommon (n=9).ConclusionMethodology and quality of validation studies of EWS are insufficient to recommend their use in all diseases and all clinical settings despite good performance of EWS in some subgroups. There is urgent need for consistency in methods and study design, following consensus guidelines for predictive risk scores. Further research should consider specific diseases and settings, using electronic health record data, prior to large-scale implementation.PROSPERO registration numberPROSPERO CRD42019143141.


2017 ◽  
Vol 187 (1) ◽  
pp. 193-205 ◽  
Author(s):  
A. Murphy ◽  
J. Cronin ◽  
R. Whelan ◽  
F. J. Drummond ◽  
E. Savage ◽  
...  

2017 ◽  
Vol 76 ◽  
pp. 106-119 ◽  
Author(s):  
C.L. Downey ◽  
W. Tahir ◽  
R. Randell ◽  
J.M. Brown ◽  
D.G. Jayne

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e019268 ◽  
Author(s):  
Stephen Gerry ◽  
Jacqueline Birks ◽  
Timothy Bonnici ◽  
Peter J Watkinson ◽  
Shona Kirtley ◽  
...  

IntroductionEarly warning scores (EWSs) are used extensively to identify patients at risk of deterioration in hospital. Previous systematic reviews suggest that studies which develop EWSs suffer methodological shortcomings and consequently may fail to perform well. The reviews have also identified that few validation studies exist to test whether the scores work in other settings. We will aim to systematically review papers describing the development or validation of EWSs, focusing on methodology, generalisability and reporting.MethodsWe will identify studies that describe the development or validation of EWSs for adult hospital inpatients. Each study will be assessed for risk of bias using the Prediction model Risk of Bias ASsessment Tool (PROBAST). Two reviewers will independently extract information. A narrative synthesis and descriptive statistics will be used to answer the main aims of the study which are to assess and critically appraise the methodological quality of the EWS, to describe the predictors included in the EWSs and to describe the reported performance of EWSs in external validation.Ethics and disseminationThis systematic review will only investigate published studies and therefore will not directly involve patient data. The review will help to establish whether EWSs are fit for purpose and make recommendations to improve the quality of future research in this area.PROSPERO registration numberCRD42017053324.


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