The effects of two methods for customising the original SAPS II model for intensive care patients from South England

Anaesthesia

Volumn 57, Issue 8, 2002, Pages 778-817

  Beck, D H ^a   Smith, G B ^b   Pappachan, J V ^c  

^a HUMBOLDT UNIVERSITY   (Germany)

^b QUEEN ALEXANDRA HOSPITAL   (United Kingdom)

^c SOUTHAMPTON GENERAL HOSPITAL   (United Kingdom)

Author keywords

SAPS II: customisation, prognostic models; Recalibration

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; AGED; ANALYTIC METHOD; ARTICLE; CALCULATION; CALIBRATION; COMORBIDITY; CONFIDENCE INTERVAL; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; DATA BASE; DISEASE SEVERITY; FEMALE; HEALTH CARE QUALITY; HEALTH CARE SYSTEM; HEALTH STATUS; HOSPITAL ADMISSION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL PARAMETERS; MODEL; MORTALITY; OUTCOMES RESEARCH; PROGNOSIS; RELIABILITY; SCORING SYSTEM; SEX DIFFERENCE; STANDARD; STATISTICAL ANALYSIS; SURGICAL PATIENT; UNITED KINGDOM; VALIDATION PROCESS;

EID: 0036054902     PISSN: 00032409     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2044.2002.02698_2.x     Document Type: Article

References (32)

1. The reliability of case mix adjustment in intensive care
2. Mortality probabilities and case-mix adjustment by prognostic models
3. Development of a new scoring system, the SAPS II, from a European/North American Multicenter Study
4. Evaluation of two outcome prediction models on an independent database
5. The performance of SAPS II in a cohort of Italian ICUs: Results from GiViTI
6. Assessment of the performance of five intensive care scoring models within a large Scottish database
7. A comparison of severity of illness scoring systems for intensive care unit patients: Results of a multicenter, multinational study
8. Evaluation of an interdisciplinary data set for national intensive care unit assessment
9. Comparison of Acute Physiology and Chronic Health Evaluation Score II and III and Simplified Acute Physiology Score II: A prospective cohort study evaluating these models to predict outcome in a German multidisciplinary intensive care unit
10. When to customize a severity model
11. Outcome prediction for individual intensive care patients: Useful, misused, or abused?
12. Factors affecting the performance of the models in the Mortality Prediction Model II system and strategies of customization: A simulation study
13. The APACHE III prognostic system: Risk prediction of hospital mortality for critically ill hospitalized adults
14. Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system
15. Model selection via multifold cross-validation
16. Validation techniques for logistic regression models
17. Cross-validation performance of mortality prediction models
18. Comparing the area under two or more correlated receiver operator characteristic curves: A nonparametric approach
19. The meaning and use of the area under a receiver operating characteristic (ROC) curve
20. A review of the goodness of fit statistics for the use in the development of logistic regression models
21. The APACHE III prognostic system: Customized mortality predictions for Spanish ICU patients
22. Prognostic performance and customization of the SAPS II. Results of a multicenter Austrian study
23. The impact of different customization strategies on the performance of a general severity score
24. Customized probability models for early severe sepsis in adult intensive care patients
25. Assessment of the prognosis of coronary patients: Performance and customization of generic severity indexes
26. Outcome comparison of ICU in Great Britain using the APACHE II method
27. Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure
28. Critical care outcomes
29. A critical appraisal and systematic review of illness severity scoring systems in the intensive care unit
30. What do we mean by validating prognostic models?
31. From severity scores to health gain - A difficult road but one worth traveling