Literature DB >> 12536271

External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study.

Dieter H Beck1, Gary B Smith, John V Pappachan, Brian Millar.   

Abstract

OBJECTIVE: External validation of three prognostic models in adult intensive care patients in South England. DESIGN. Prospective cohort study.
SETTING: Seventeen intensive care units (ICU) in the South West Thames Region in South England. PATIENTS AND PARTICIPANTS: Data of 16646 patients were analysed.
INTERVENTIONS: None. MEASUREMENTS AND
RESULTS: We compared directly the predictive accuracy of three prognostic models (SAPS II, APACHE II and III), using formal tests of calibration and discrimination. The external validation showed a similar pattern for all three models tested: good discrimination, but imperfect calibration. The areas under the receiver operating characteristics (ROC) curves, used to test discrimination, were 0.835 and 0.867 for APACHE II and III, and 0.852 for the SAPS II model. Model calibration was assessed by Lemeshow-Hosmer C-statistics and was Chi(2 )=232.1 for APACHE II, Chi(2 )=443.3 for APACHE III and Chi(2 )=287.5 for SAPS II.
CONCLUSIONS: Disparity in case mix, a higher prevalence of outcome events and important unmeasured patient mix factors are possible sources for the decay of the models' predictive accuracy in our population. The lack of generalisability of standard prognostic models requires their validation and re-calibration before they can be applied with confidence to new populations. Customisation of existing models may become an important strategy to obtain authentic information on disease severity, which is a prerequisite for reliably measuring and comparing the quality and cost of intensive care.

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Year:  2003        PMID: 12536271     DOI: 10.1007/s00134-002-1607-9

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  38 in total

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Journal:  Lancet       Date:  1997-07-05       Impact factor: 79.321

2.  Intensive Care Society's APACHE II study in Britain and Ireland--I: Variations in case mix of adult admissions to general intensive care units and impact on outcome.

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Journal:  BMJ       Date:  1993-10-16

3.  Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system.

Authors:  J V Pappachan; B Millar; E D Bennett; G B Smith
Journal:  Chest       Date:  1999-03       Impact factor: 9.410

4.  Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure: implications for critical care delivery from Cleveland Health Quality Choice.

Authors:  C A Sirio; L B Shepardson; A J Rotondi; G S Cooper; D C Angus; D L Harper; G E Rosenthal
Journal:  Chest       Date:  1999-03       Impact factor: 9.410

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Authors:  R Markgraf; G Deutschinoff; L Pientka; T Scholten
Journal:  Crit Care Med       Date:  2000-01       Impact factor: 7.598

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Authors:  D H Beck; B L Taylor; B Millar; G B Smith
Journal:  Crit Care Med       Date:  1997-01       Impact factor: 7.598

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Journal:  Crit Care Med       Date:  1999-08       Impact factor: 7.598

8.  Application of the APACHE III prognostic system in Brazilian intensive care units: a prospective multicenter study.

Authors:  P G Bastos; X Sun; D P Wagner; W A Knaus; J E Zimmerman
Journal:  Intensive Care Med       Date:  1996-06       Impact factor: 17.440

9.  Waiting for the break of dawn? The effects of discharge time, discharge TISS scores and discharge facility on hospital mortality after intensive care.

Authors:  Dieter H Beck; Peter McQuillan; Gary B Smith
Journal:  Intensive Care Med       Date:  2002-08-01       Impact factor: 17.440

10.  Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization: a simulation study.

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Journal:  Crit Care Med       Date:  1996-01       Impact factor: 7.598

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  38 in total

Review 1.  Year in review in intensive care medicine-2003. Part 3: intensive care unit organization, scoring, quality of life, ethics, neonatal and pediatrics, and experimental.

Authors:  Edward Abraham; Peter Andrews; Massimo Antonelli; Laurent Brochard; Christian Brun-Buisson; Geoffrey Dobb; Jean-Yves Fagon; Johan Groeneveld; Jordi Mancebo; Philipp Metnitz; Stefano Nava; Michael Pinsky; Peter Radermacher; Marco Ranieri; Christian Richard; Robert Tasker; Benoit Vallet
Journal:  Intensive Care Med       Date:  2004-06-26       Impact factor: 17.440

2.  How standard is the "S" in SMR?

Authors:  J Geoffrey Chase; Geoffrey M Shaw
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3.  Predicting mortality in patients with systemic inflammatory response syndrome: an evaluation of two prognostic models, two soluble receptors, and a macrophage migration inhibitory factor.

Authors:  K Kofoed; J Eugen-Olsen; J Petersen; K Larsen; O Andersen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-01-16       Impact factor: 3.267

4.  The performance and customization of SAPS 3 admission score in a Thai medical intensive care unit.

Authors:  Bodin Khwannimit; Rungsun Bhurayanontachai
Journal:  Intensive Care Med       Date:  2009-09-15       Impact factor: 17.440

5.  Bedside colonoscopy for critically ill patients with acute lower gastrointestinal bleeding.

Authors:  Chun-Che Lin; Yi-Chia Lee; Huei Lee; Jaw-Town Lin; Wei-Chi Ho; Tan-Hsia Chen; Hsiu-Po Wang
Journal:  Intensive Care Med       Date:  2005-04-01       Impact factor: 17.440

6.  Red cell distribution width and all-cause mortality in critically ill patients.

Authors:  Heidi S Bazick; Domingo Chang; Karthik Mahadevappa; Fiona K Gibbons; Kenneth B Christopher
Journal:  Crit Care Med       Date:  2011-08       Impact factor: 7.598

7.  Vascular endothelial growth factor gene polymorphism and acute respiratory distress syndrome.

Authors:  A R L Medford; L J Keen; J L Bidwell; A B Millar
Journal:  Thorax       Date:  2005-03       Impact factor: 9.139

8.  Use of the All Patient Refined-Diagnosis Related Group (APR-DRG) Risk of Mortality Score as a Severity Adjustor in the Medical ICU.

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Journal:  Clin Med Circ Respirat Pulm Med       Date:  2008-04-18

9.  Hospital mortality is associated with ICU admission time.

Authors:  Hans A J M Kuijsten; Sylvia Brinkman; Iwan A Meynaar; Peter E Spronk; Johan I van der Spoel; Rob J Bosman; Nicolette F de Keizer; Ameen Abu-Hanna; Dylan W de Lange
Journal:  Intensive Care Med       Date:  2010-06-15       Impact factor: 17.440

10.  Diurnal variation of melatonin and cortisol is maintained in non-septic intensive care patients.

Authors:  Asko Riutta; Pauli Ylitalo; Seppo Kaukinen
Journal:  Intensive Care Med       Date:  2009-07-04       Impact factor: 17.440

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