Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/97987
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dc.contributor.authorNguyen, M.en
dc.contributor.authorWoodman, R.en
dc.contributor.authorHakendorf, P.en
dc.contributor.authorThompson, C.en
dc.contributor.authorFaunt, J.en
dc.date.issued2015en
dc.identifier.citationAustralian Health Review, 2015; 39(5):522-527en
dc.identifier.issn0156-5788en
dc.identifier.issn1449-8944en
dc.identifier.urihttp://hdl.handle.net/2440/97987-
dc.description.abstractObjectives. The aim of the present study was to determine whether an aggregate simple clinical score (SCS) has a role in predicting the imminent mortality and in-hospital length of stay (LOS) of newly admitted, acutely unwell General Medical in-patients. Methods. Data were collected prospectively from adult patients admitted through an Acute Medical Unit between February and August 2013. Using logistic regression analysis before and after adjustment for age, the SCS was assessed for its association with LOS and mortality, including 30-day mortality, just for those patients for full resuscitation. Changes in sensitivity and specificity after adding SCS to age as a predictor, as well as the change in the net reclassification index, were determined using the predicted probabilities from the logistic regression models. Results. The SCS was superior to age in predicting mortality of any patient within 30 days. It did not assist in predicting 30-day mortality for those patients who were for full resuscitation. The ability of the SCS to predict long stay (> 72h) remained relatively low (64%) and was inferior to published rates achieved by bedside clinician assessment (74% – 82%). Conclusion. There was no useful prospective role for the SCS in predicting LOS and mortality of in-patients newly admitted to a General Medicine service.en
dc.description.statementofresponsibilityMinh T. Nguyen, Richard J. Woodman, Paul Hakendorf, Campbell H. Thompson, Jeff Faunten
dc.language.isoenen
dc.publisherCSIRO Publishingen
dc.rightsJournal compilation © AHHA 2015en
dc.subjectHumans; Death; Hospitalization; Length of Stay; Logistic Models; Risk Assessment; Prospective Studies; Predictive Value of Tests; Forecasting; Adult; Aged; Aged, 80 and over; Middle Aged; Female; Maleen
dc.titleCan the simple clinical score usefully predict the mortality risk and length of stay for a recently admitted patient?en
dc.typeJournal articleen
dc.identifier.rmid0030039499en
dc.identifier.doi10.1071/AH14123en
dc.identifier.pubid221318-
pubs.library.collectionMedicine publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidThompson, C. [0000-0002-5164-3327]en
Appears in Collections:Medicine publications

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