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  4. Simple translational equations to compare illness severity scores in intensive care trials.
 
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Titre

Simple translational equations to compare illness severity scores in intensive care trials.

Type
article
Institution
Externe
Périodique
Journal of Critical Care  
Auteur(s)
Schneider, A.G.
Auteure/Auteur
Lipcsey, M.
Auteure/Auteur
Bailey, M.
Auteure/Auteur
Pilcher, D.V.
Auteure/Auteur
Bellomo, R.
Auteure/Auteur
Liens vers les personnes
Schneider, Antoine Guillaume  
ISSN
1557-8615
Statut éditorial
Publié
Date de publication
2013
Volume
28
Numéro
5
Première page
885.e1
Dernière page/numéro d’article
885.e8
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Résumé
PURPOSE: Comparison 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.
MATERIALS AND METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
Sujets

Adult

Australia

Humans

Intensive Care Units

Models, Statistical

New Zealand

Predictive Value of T...

Severity of Illness I...

PID Serval
serval:BIB_A94974E115CF
DOI
10.1016/j.jcrc.2013.02.003
PMID
23566728
WOS
000324374700064
Permalien
https://iris.unil.ch/handle/iris/228794
Date de création
2014-11-26T20:39:37.905Z
Date de création dans IRIS
2025-05-21T04:55:27Z
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