Accurate prognostications of death. Opportunities and challenges for clinicians

West J Med. 1995 Sep;163(3):250-7.


Linking survival time to an array of prognostic variables through a powerful statistical model can provide reliable, valid and potentially useful information for patient care. We present a summary of the recently developed SUPPORT model [Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment] for estimating survival time of seriously ill adult inpatients and illustrate the possible clinical use of such a model. This model is then translated into counseling. Clinicians are positioned to evaluate the relevance and validity of any model and to understand their persistent shortcomings.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Advance Care Planning*
  • Critical Illness / mortality
  • Humans
  • Models, Statistical*
  • Mortality*
  • Prognosis
  • Survival Rate*
  • Uncertainty