Journal of Critical Care
Volume 23, Issue 3 , Pages 339-348 , September 2008

Modeling in-hospital patient survival during the first 28 days after intensive care unit admission: A prognostic model for clinical trials in general critically ill patients

  • Rui P. Moreno, MD, PhD

      Affiliations

    • Unidade de Cuidados Intensivos Polivalente, Hospital de St. António dos Capuchos, Centro Hospitalar de Lisboa Central, E. P. E., Lisboa, Portugal
    • Corresponding Author InformationCorresponding author. Fax: +351 21 3153784.
  • ,
  • Philipp G.H. Metnitz, MD, PhD, DEAA

      Affiliations

    • Department of Anaesthesiology and General Intensive Care, University Hospital of Vienna, Vienna, Austria
  • ,
  • Barbara Metnitz, MS, PhD

      Affiliations

    • Medical University of Vienna, Core Unit for Medical Statistics and Informatics, Section of Medical Statistics, Vienna, Austria
  • ,
  • Peter Bauer, PhD

      Affiliations

    • Medical University of Vienna, Core Unit for Medical Statistics and Informatics, Section of Medical Statistics, Vienna, Austria
  • ,
  • Susana Afonso de Carvalho, MD

      Affiliations

    • Unidade de Cuidados Intensivos Polivalente, Hospital de St. António dos Capuchos, Centro Hospitalar de Lisboa Central, E. P. E., Lisboa, Portugal
  • ,
  • Anette Hoechtl, PhD

      Affiliations

    • Department of Anaesthesiology and General Intensive Care, University Hospital of Vienna, Vienna, Austria
  • ,
  • on behalf of the SAPS 3 Investigators

References 

  1. Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA. 1993;270:2957–2963
  2. Moreno RP, Metnitz PG, Almeida E, et al. SAPS 3. From evaluation of the patient to evaluation of the intensive care unit. Part 2: development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005;31:1345–1355
  3. Cox DR. Regression models and life-tables (with discussion). J R Stat Soc B. 1972;34:107–220
  4. Resche-Rigon M, Azoulay E, Chevret S. Evaluating mortality in intensive care units: contribution of competing risks analyses. Crit Care. 2005;10:R5
  5. Metnitz PG, Moreno RP, Almeida E, et al. SAPS 3. From evaluation of the patient to evaluation of the intensive care unit. Part 1: objectives, methods and cohort description. Intensive Care Med. 2005;31:1336–1344
  6. Hosmer DW, Lemeshow S. Confidence interval estimates of an index of quality performance based on logistic regression estimates. Stat Med. 1995;14:2161–2172
  7. Fine J, Gray R. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94:496–509
  8. Hanley J, McNeil B. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36
  9. Goldstein H. Multilevel statistical models. London: Arnold; 1995;
  10. Goldstein H, Spiegelhalter DJ. League tables and their limitations: statistical issues in comparisons of institutional performance. J R Stat Soc A. 1996;159:385–443
  11. Gray RJ. Flexible methods for analysing survival data using splines, with applications to breast cancer prognosis. J Am Stat Assoc. 1992;87:942–951
  12. Gray RJ. Spline-based tests in survival analysis. Biometrics. 1994;50:640–652
  13. Kasal J, Jovanovic Z, Clermont G, et al. Comparison of Cox and Gray's survival models in severe sepsis. Crit Care Med. 2004;32:700–707
  14. Nardi A, Schemper M. Comparing Cox and parametric models in clinical studies. Stat Med. 2003;22:3597–3610
  15. Bernard GR, Vincent JL, Laterre PF, et al. Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med. 2001;344:699–709
  16. Carlet J. Prescribing indications based on successful clinical trials in sepsis: a difficult exercise. Crit Care Med. 2006;34:525–529

 Authors' contribution and competing interests. Rui Moreno and Philipp Metnitz actively organized and chaired the SAPS 3 project (see electronic supplementary material for a complete list of participants in the project) and actively participated in all steps of data collection, analysis, and model development. Barbara Metnitz and Peter Bauer were responsible for data management and statistical analysis of the SAPS 3 project. Manuscript preparation was done by Rui Moreno, Philipp Metnitz, and Barbara Metnitz.

PII: S0883-9441(07)00188-8

doi: 10.1016/j.jcrc.2007.11.004

Journal of Critical Care
Volume 23, Issue 3 , Pages 339-348 , September 2008