Decompressive Craniectomy After Traumatic Brain Injury: Incorporating Patient Preferences into Decision-Making

Christos Lazaridis1, Ali Mansour1, Manasvini Singh2

  • 1Division of Neurocritical Care, Departments of Neurology and Neurosurgery, University of Chicago Medical Center, Chicago, Illinois, USA.

World Neurosurgery
|October 14, 2021
PubMed

Insights

Decompressive craniectomy (DC) decision-making needs patient preferences. A new decision aid, based on Expected Utility Theory, helps incorporate patient values for better outcomes in severe traumatic brain injury.

Area of Science:

  • Neurosurgery
  • Decision Science
  • Medical Ethics

Background:

  • Decompressive craniectomy (DC) effectively reduces intracranial hypertension but lacks clear guidelines on patient selection, optimal timing, and functional outcomes.
  • Recent updates to Brain Trauma Foundation guidelines, informed by DECRA and RESCUEicp trials, still do not address incorporating patient or surrogate preferences into decision-making.

Purpose of the Study:

  • To address the gap in incorporating patient preferences into decisions regarding DC for refractory post-traumatic intracranial hypertension.
  • To propose a novel decision aid grounded in Decision Theory, specifically Expected Utility Theory, to aid clinical decision-making.

Main Methods:

  • Utilized principles of Expected Utility Theory to develop a decision aid framework.
  • Analyzed 1-year outcome data from the DECRA and RESCUEicp clinical trials.

Main Results:

  • Early secondary DC, as per DECRA trial data, demonstrated decreased expected utility across all preference rankings.
  • Recommending late secondary DC versus intensive medical therapy, based on RESCUEicp findings, necessitates consideration of individualized patient outcome preferences.

Conclusions:

  • While DECRA and RESCUEicp trial outcomes inform current guidelines, unaided interpretation may be insufficient for personalized patient care.
  • Decision aids, such as the one proposed using expected utility theory, can significantly enhance individualized decision-making for decompressive craniectomy.
Abstract

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