Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/11729
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dc.contributor.authorSchneider, Antoine Gen
dc.contributor.authorLipcsey, Miklósen
dc.contributor.authorBailey, Michael Jen
dc.contributor.authorPilcher, David Ven
dc.contributor.authorBellomo, Rinaldoen
dc.date.accessioned2015-05-16T01:21:17Z
dc.date.available2015-05-16T01:21:17Z
dc.date.issued2013-04-06en
dc.identifier.citationJournal of Critical Care 2013; 28(5): 885.e1-8en
dc.identifier.govdoc23566728en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/11729en
dc.description.abstractComparison of illness severity for intensive care unit populations assessed according to different scoring systems should increase our ability to compare and meta-analyze past and future trials but is currently not possible. Accordingly, we aimed to establish a methodology to translate illness severity scores obtained from one system into another.Using the Australian and New-Zealand intensive care adult patient database, we obtained simultaneous admission Acute Physiology and Chronic Health Evaluation (APACHE) II and APACHE III scores and Simplified Acute Physiology Score (SAPS) II in 634428 patients admitted to 153 units between 2001 and 2010. We applied linear regression analyses to create models enabling translation of one score into another. Sensitivity analyses were performed after removal of diagnostic categories excluded from the original APACHE database, after matching for similar risk of death, after splitting data according to country of origin (Australia or New Zealand) and after splitting admissions occurring before or after 2006.The translational models were APACHE III=3.08×APACHE II+5.75; APACHE III=1.47×SAPS II+8.6; and APACHE II=0.36×SAPS II+4.4. The area under the receiver operating curve for mortality prediction was 0.853 (95% confidence interval, 0.851-0.855) for the "APACHE II derived APACHE III" score and 0.854 (0.852-0.855) for the "SAPS II derived APACHE III" vs 0.854 (0.852-0.855) for the original APACHE III score. Similarly, it was 0.841 (0.839-0.843) for the "SAPS II derived APACHE II score" vs 0.842 (0.840-0.843) for the original APACHE II score. Correlation coefficients as well as intercepts remained very similar in all subgroups analyses.Simple and robust translational formulas can be developed to allow clinicians to compare illness severity between studies involving critically ill patients. Further studies in other countries and health care systems are needed to confirm the generalizability of these results.en
dc.language.isoenen
dc.subject.otherAPACHE scoreen
dc.subject.otherIllness severity scoreen
dc.subject.otherMortality predictionen
dc.subject.otherSAPS scoreen
dc.subject.otherAdulten
dc.subject.otherAustraliaen
dc.subject.otherHumansen
dc.subject.otherIntensive Care Unitsen
dc.subject.otherModels, Statisticalen
dc.subject.otherNew Zealanden
dc.subject.otherPredictive Value of Testsen
dc.subject.otherSeverity of Illness Indexen
dc.titleSimple translational equations to compare illness severity scores in intensive care trials.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of Critical Careen
dc.identifier.affiliationDepartment of Epidemiology and Preventive Medicine, The Alfred Center, Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Australiaen
dc.identifier.affiliationDepartment of Intensive Care, Austin Health, Intensive Care Unit, Heidelberg, Australiaen
dc.identifier.doi10.1016/j.jcrc.2013.02.003en
dc.description.pages885.e1-8en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/23566728en
dc.type.austinJournal Articleen
local.name.researcherBellomo, Rinaldo
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeJournal Article-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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