Show simple item record

dc.contributor.authorFaisal, Muhammad*
dc.contributor.authorScally, Andy J.*
dc.contributor.authorJackson, N.*
dc.contributor.authorRichardson, D.*
dc.contributor.authorBeatson, K.*
dc.contributor.authorHowes, R.*
dc.contributor.authorSpeed, K.*
dc.contributor.authorMenon, M.*
dc.contributor.authorDaws, J.*
dc.contributor.authorDyson, J.*
dc.contributor.authorMarsh, C.*
dc.contributor.authorMohammad, Mohammad A.*
dc.date.accessioned2019-05-08T09:43:23Z
dc.date.available2019-05-08T09:43:23Z
dc.date.issued2018-12
dc.identifier.citationFaisal M, Scally AJ, Jackson N et al (2018) Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study. BMJ Open. 8(12): e022939.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17031
dc.descriptionYesen_US
dc.description.abstractObjectives There are no established mortality risk equations specifically for emergency medical patients who are admitted to a general hospital ward. Such risk equations may be useful in supporting the clinical decision-making process. We aim to develop and externally validate a computer-aided risk of mortality (CARM) score by combining the first electronically recorded vital signs and blood test results for emergency medical admissions. Design Logistic regression model development and external validation study. Setting Two acute hospitals (Northern Lincolnshire and Goole NHS Foundation Trust Hospital (NH)—model development data; York Hospital (YH)—external validation data). Participants Adult (aged ≥16 years) medical admissions discharged over a 24-month period with electronic National Early Warning Score(s) and blood test results recorded on admission. Results The risk of in-hospital mortality following emergency medical admission was 5.7% (NH: 1766/30 996) and 6.5% (YH: 1703/26 247). The C-statistic for the CARM score in NH was 0.87 (95% CI 0.86 to 0.88) and was similar in an external hospital setting YH (0.86, 95% CI 0.85 to 0.87) and the calibration slope included 1 (0.97, 95% CI 0.94 to 1.00). Conclusions We have developed a novel, externally validated CARM score with good performance characteristics for estimating the risk of in-hospital mortality following an emergency medical admission using the patient’s first, electronically recorded, vital signs and blood test results. Since the CARM score places no additional data collection burden on clinicians and is readily automated, it may now be carefully introduced and evaluated in hospitals with sufficient informatics infrastructure.en_US
dc.description.sponsorshipThe Health Foundation, National Institute for Health Research (NIHR) Yorkshire and Humberside Patient Safety Translational Research Centreen_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1136/bmjopen-2018-022939en_US
dc.rights(c) 2018 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by-nc/4.0/)en_US
dc.subjectComputer-Aided scoreen_US
dc.subjectIn-hospital mortalityen_US
dc.subjectVital signsen_US
dc.subjectEmergency admissionen_US
dc.titleDevelopment and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional studyen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-10-19
dc.typeArticleen_US
dc.type.versionPublished versionen_US
refterms.dateFOA2019-05-08T09:43:23Z


Item file(s)

Thumbnail
Name:
faisal_et_al_2018.pdf
Size:
388.3Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record