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Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model

Abstract:
Aim The National Early Warning System (NEWS) is based on vital signs; the Laboratory Decision Tree Early Warning Score (LDT-EWS) on laboratory test results. We aimed to develop and validate a new EWS (the LDTEWS:NEWS risk index) by combining the two and evaluating the discrimination of the primary outcome of unanticipated intensive care unit (ICU) admission or in-hospital mortality, within 24 hours.

Methods We studied emergency medical admissions, aged 1...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.resuscitation.2018.09.021

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0002-5448-6013
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Department:
Engineering Science
Role:
Author
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Funding agency for:
Watkinson, P
Grant:
Biomedical Research Centre, Oxford
Department of Health More from this funder
Wellcome Trust More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Resuscitation Journal website
Volume:
133
Pages:
75-81
Publication date:
2018-09-22
Acceptance date:
2018-09-20
DOI:
EISSN:
1873-1570
ISSN:
0300-9572
Keywords:
Pubs id:
pubs:920578
UUID:
uuid:944bc411-416b-4801-95ff-45d834cecf03
Local pid:
pubs:920578
Deposit date:
2018-09-21

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