Predicting outcomes after severe traumatic brain injury: Science, humanity or both?

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4 Citations (Scopus)

Abstract

Predicting long-term outcome after severe traumatic brain injury (TBI) is difficult, but accurate assessment is paramount for both families of the patients and medical decision-making, as well as quality assurance or research purposes. Many important prognostic factors for patients with severe TBI have been identified, but most — if not all — including the Glasgow Coma Score and magnetic resonance imaging are not accurate enough to be used alone to predict patient outcomes. Clinicians should also be wary about how their predictions and decision-making can be affected by heuristics and cognitive biases. Well-validated prognostic models, including the CRASH and IMPACT models, are easily available and, provided their limitations are appreciated, they offer an enormous potential to assist clinicians to objectively prognosticate the outcomes of patients with severe TBI by reducing the unduly influence of subconscious heuristics and cognitive biases. Finally, we also should not underestimate human being’s adaptability, including their ability to recalibrate what May be acceptable to them when life circumstances have changed. Predicting outcome and decision-making after severe TBI requires a deep understanding of both science and humanity — a task we should all take seriously.

Original languageEnglish
Pages (from-to)593-598
Number of pages6
JournalJournal of Neurosurgical Sciences
Volume62
Issue number5
DOIs
Publication statusPublished - 1 Oct 2018

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