Logo image
Decompressive craniectomy for neurotrauma: the limitations of applying an outcome prediction model
Journal article   Peer reviewed

Decompressive craniectomy for neurotrauma: the limitations of applying an outcome prediction model

S. Honeybul, K.M. Ho, C.R.P. Lind and G.R. Gillett
Acta Neurochirurgica, Vol.152(6), pp.959-964
2010
url
Link to Published Version *Subscription may be requiredView

Abstract

Background There is currently much interest in the use of decompressive craniectomy for patients with severe head injury. A number of studies have demonstrated that not only can the technique lower intracranial pressure but can also improve outcome. Whilst many patients who would otherwise have died or had a poor outcome now go on to make a good recovery, there is little doubt that complications can have a very significant impact on long term outcome. Methods By using the corticosteroid randomisation after significant head injury (CRASH) collaborators outcome prediction model, three patients were selected who had a similar outcome prediction. All three patients developed intracranial hypertension following trauma and had a decompressive craniectomy. Results Despite having a similar outcome prediction only one patient made an uneventful recovery. The remaining two patients suffered significant complications. Conclusions This report illustrates the potential clinical applications and limitations of an outcome prediction model and demonstrates the impact that complications can have on eventual outcome.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.134 Trauma & Emergency Surgery
1.134.286 Traumatic Brain Injury
Web Of Science research areas
Clinical Neurology
Surgery
ESI research areas
Clinical Medicine
Logo image