Canadian Journal of Anaesthesia

, Volume 35, Supplement 1, pp S34–S38 | Cite as

Predicting outcome in critical care

  • Jack E. Zimmerman


This summary suggests that the systematic collection of objective information on a patient’s disease, the acute severity of the disease, their physiologic reserve and their response to treatment can improve our ability to predict outcome for critically ill ICU patients. These predictions can then be used to evaluate the quality of ICU services and improve the precision of treatment for individual patients.24


Intensive Care Unit Patient Physiologic Reserve Organ System Failure Intensive Care Unit Treatment Disease Classification System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Canadian Anesthesiologists 1988

Authors and Affiliations

  • Jack E. Zimmerman
    • 1
  1. 1.The ICU Research Unit, Department of AnesthesiologyThe George Washington University Medical CenterWashington

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