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Bayesian Outcome Prediction After Resuscitation From Cardiac Arrest.

Jonathan ElmerPatrick J CopplerBobby L JonesDaniel S NaginClifton W Callawaynull null
Published in: Neurology (2022)
Bayesian models offer advantages well suited to prognostication research. On balance, our findings support the view that in expert hands, accurate neurologic prognostication is possible in many cases before 72 hours postarrest. Although we caution against early withdrawal of life-sustaining therapies, rapid outcome prediction can inform clinical decision making and future clinical trials.
Keyphrases
  • cardiac arrest
  • cardiopulmonary resuscitation
  • clinical trial
  • decision making
  • current status
  • mass spectrometry
  • open label
  • study protocol