Literature DB >> 9559618

Prognosis in the intensive care unit: finding accurate and useful estimates for counseling patients.

A G Randolph1, G H Guyatt, W S Richardson.   

Abstract

OBJECTIVES: Counseling critically ill patients and their families about what the future is likely to hold requires accurate prognostic information. Our goal is to teach clinicians how to find and critically appraise prognostic studies that examine homogeneous populations. CLINICAL EXAMPLE: An article describing the outcomes of a group of children who are in a prolonged, persistent vegetative state. RECOMMENDATIONS: The validity of prognostic studies is increased when: a) the sample of patients is representative; b) patients are homogeneous with respect to prognostic risk; c) follow-up is sufficient to minimize the possibility that the missing patients could alter the interpretation of the results; and d) health outcomes are evaluated, using objective and unbiased criteria. The likelihood of these outcomes over time and the precision around these probability estimates should be easily understandable. Before using the results of these studies to counsel patients and families, practitioners should ensure that the patients in the study and their management are similar to the patient in question, and that follow-up of the subjects is sufficiently long.
CONCLUSIONS: The criteria outlined in this article may assist clinicians in interpreting articles describing the prognosis of patients with similar clinical conditions.

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Year:  1998        PMID: 9559618     DOI: 10.1097/00003246-199804000-00031

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  3 in total

1.  Are somatosensory evoked potentials the best predictor of outcome after severe brain injury? Caution in interpreting a systematic review.

Authors:  Ari R Joffe
Journal:  Intensive Care Med       Date:  2005-08-27       Impact factor: 17.440

2.  [Age and survival likelihood of polytrauma patients. "Local tailoring" of the DGU prognosis model].

Authors:  G Matthes; J Seifert; S Bogatzki; K Steinhage; A Ekkernkamp; D Stengel
Journal:  Unfallchirurg       Date:  2005-04       Impact factor: 1.000

3.  Lipopolysaccharide-binding protein for monitoring of postoperative sepsis: complemental to C-reactive protein or redundant?

Authors:  Klaus Tschaikowsky; Monika Hedwig-Geissing; Joachim Schmidt; Giovanni G Braun
Journal:  PLoS One       Date:  2011-08-25       Impact factor: 3.240

  3 in total

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