Literature DB >> 21907689

Validation of an abbreviated Vitalpac™ Early Warning Score (ViEWS) in 75,419 consecutive admissions to a Canadian regional hospital.

John Kellett1, Arnold Kim.   

Abstract

BACKGROUND: The early warning score derived from 198,755 vital sign sets in the Vitalpac™ database (ViEWS) has an area under the receiver operator characteristic curve (AUROC) for death of acute unselected medical patients within 24h of 88%.
METHODS: This study validated an abbreviated version of ViEWS, which did not include mental status, in 75,419 consecutive patients admitted to the Thunder Bay Regional Health Sciences Center between 2005 and 2010.
RESULTS: The abbreviated score had an AUROC for death within 48 h of admission of 93% for all patients and 89% for medical patients - there were no significant differences in the discrimination of the score between surgical and medical patients or patients admitted to different medical sub-specialty services. The AUROC for intensive care patients, however, was significantly lower at 72%. Although medical patients appeared to have a higher mortality than surgical patients with the same score, these only reached statistical significance for surgical patients with a score between 3 and 10 points, stroke patients between 3 and 6 points, oncology patients between 7 and 10 points, and ICU patients with 3 or more points.
CONCLUSION: The abbreviated ViEWS score has comparable discrimination to the original score and has reasonable "goodness of fit" for most patients except for those requiring intensive care. Copyright Â
© 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21907689     DOI: 10.1016/j.resuscitation.2011.08.022

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  19 in total

1.  A critical assessment of early warning score records in 168,000 patients.

Authors:  Niels Egholm Pedersen; Lars Simon Rasmussen; John Asger Petersen; Thomas Alexander Gerds; Doris Østergaard; Anne Lippert
Journal:  J Clin Monit Comput       Date:  2017-02-25       Impact factor: 2.502

2.  Do different patient populations need different early warning scores? The performance of nine different early warning scores used on acutely ill patients admitted to a low-resource hospital in sub-Saharan Africa.

Authors:  Immaculate Nakitende; Joan Nabiryo; Teopista Namujwiga; Lucien Wasingya-Kasereka; John Kellett
Journal:  Clin Med (Lond)       Date:  2019-11-08       Impact factor: 2.659

Review 3.  Development and validation of early warning score system: A systematic literature review.

Authors:  Li-Heng Fu; Jessica Schwartz; Amanda Moy; Chris Knaplund; Min-Jeoung Kang; Kumiko O Schnock; Jose P Garcia; Haomiao Jia; Patricia C Dykes; Kenrick Cato; David Albers; Sarah Collins Rossetti
Journal:  J Biomed Inform       Date:  2020-04-08       Impact factor: 6.317

4.  Cross-sectional audit on the relevance of Elevated National Early Warning Score in medical patients at a Model 2 hospital in Ireland.

Authors:  R Lobo; K Lynch; L F Casserly
Journal:  Ir J Med Sci       Date:  2014-10-30       Impact factor: 1.568

5.  Are changes in vital signs, mobility, and mental status while in hospital measures of the quality of care?

Authors:  John Kellett; Mark Holland; Jelmer Alsma; Christian H Nickel; Mikkel Brabrand; Alfred Lumala
Journal:  Clin Med (Lond)       Date:  2022-06-15       Impact factor: 5.410

6.  Multicenter development and validation of a risk stratification tool for ward patients.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; Ari A Robicsek; David O Meltzer; Robert D Gibbons; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2014-09-15       Impact factor: 21.405

Review 7.  Risk stratification of hospitalized patients on the wards.

Authors:  Matthew M Churpek; Trevor C Yuen; Dana P Edelson
Journal:  Chest       Date:  2013-06       Impact factor: 9.410

8.  Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.

Authors:  Matthew M Churpek; Trevor C Yuen; Seo Young Park; Robert Gibbons; Dana P Edelson
Journal:  Crit Care Med       Date:  2014-04       Impact factor: 7.598

9.  Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience.

Authors:  Mini Bhatnagar; Nikita Sirohi; Aruna Bhagat Dubey
Journal:  J Family Med Prim Care       Date:  2021-01-30

10.  Oxygen use in low-resource settings: An intervention still triggered by intuition.

Authors:  Lucien Wasingya-Kasereka; Pauline Nabatanzi; Immaculate Nakitende; Joan Nabiryo; Teopista Namujwiga; John Kellett
Journal:  Resusc Plus       Date:  2020-12-07
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