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DOI: 10.1055/s-0045-1813220
To Do or Not to Do: Decompressive Craniectomy for Severe Traumatic Brain Injury
Autor*innen
Abstract
Globally, severe traumatic brain injury (TBI) is a significant cause of death and disability, particularly among young adults in their productive years. The management of elevated intracranial pressure (ICP) following TBI remains one of the greatest challenges in neurotrauma care, with decompressive craniectomy (DC) being a prominent, albeit contentious, treatment option. DC, a surgical procedure that involves removing a portion of the skull to accommodate brain swelling, has emerged as a potential life-saving intervention in such scenarios. The rationale is that by reducing ICP and enhancing cerebral perfusion, DC may mitigate further neurological damage. However, while DC effectively reduces mortality, its association with a high prevalence of severe disability and poor long-term functional outcomes has led to ongoing debate regarding its clinical utility, ethical justification, and cost-effectiveness. From a health care economics standpoint, DC has been shown to be more cost-effective than alternatives like barbiturate coma, particularly in younger patients with less severe injuries. Yet, this advantage diminishes in older populations or those with profound neurological impairment, where survival often comes at the cost of substantial long-term care needs and significantly impaired quality of life. Additionally, the decision to perform DC often occurs under critical circumstances where inherent prognostic uncertainty of early outcome prediction and emotional stress further complicate the shared decision-making process. To aid in navigating these complex choices and to guide ethical resource allocation, prognostic models such as Corticosteroid Randomization After Significant Head injury (CRASH) and International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) have been developed, offering evidence-based predictions of functional outcomes based on preoperative clinical and radiographic variables. Nevertheless, these models have limitations. This review synthesizes current evidence on the clinical effectiveness, cost utility, and ethical dimensions of DC in severe TBI. It also explores the role of predictive tools in facilitating evidence-informed and ethically responsible decisions. A literature review was conducted using major biomedical databases to identify and synthesize clinical, ethical, and economic evidence related to DC in severe TBI. We also sought the opinion of various experts and tried to provide a comprehensive, multidimensional understanding of DC in neurotrauma care to support clinicians in navigating the complexities of managing severe TBI patients.
Keywords
decompressive craniectomy - resource allocation - role of rescue - traumatic brain injury - prognostic models - CRASH - IMPACTAuthors' Contributions
E.R. was a major contributor in investigation, writing - original draft, and conceptualization. M.H. was a major contributor in writing – review and editing of the manuscript. H.N. was a medical ethics professional and advisor and was a major contributor in writing – review and editing of the manuscript. S.H. was a neurotrauma and medical ethics expert advisor and a major contributor in writing – review and editing of the manuscript, and validation of the project. V.R. was a neurosurgery and neurotrauma expert advisor and was a major contributor in writing – review and editing of the manuscript and has made substantial contribution in conception, validation, and administration of the project. All authors have read and approved the final manuscript.
Publikationsverlauf
Artikel online veröffentlicht:
28. November 2025
© 2025. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Aarabi B, Hesdorffer DC, Ahn ES, Aresco C, Scalea TM, Eisenberg HM. Outcome following decompressive craniectomy for malignant swelling due to severe head injury. J Neurosurg 2006; 104 (04) 469-479
- 2 Cooper DJ, Rosenfeld JV, Murray L. et al; DECRA Trial Investigators, Australian and New Zealand Intensive Care Society Clinical Trials Group. Decompressive craniectomy in diffuse traumatic brain injury. N Engl J Med 2011; 364 (16) 1493-1502
- 3 Alali AS, Naimark DM, Wilson JR. et al. Economic evaluation of decompressive craniectomy versus barbiturate coma for refractory intracranial hypertension following traumatic brain injury. Crit Care Med 2014; 42 (10) 2235-2243
- 4 Kolias AG, Adams H, Timofeev IS. et al; RESCUEicp Trial Collaborators. Evaluation of outcomes among patients with traumatic intracranial hypertension treated with decompressive craniectomy vs standard medical care at 24 months: a secondary analysis of the RESCUEicp randomized clinical trial. JAMA Neurol 2022; 79 (07) 664-671
- 5 Hutchinson PJ, Kolias AG, Timofeev IS. et al; RESCUEicp Trial Collaborators. Trial of decompressive craniectomy for traumatic intracranial hypertension. N Engl J Med 2016; 375 (12) 1119-1130
- 6 Guerra WK, Gaab MR, Dietz H, Mueller JU, Piek J, Fritsch MJ. Surgical decompression for traumatic brain swelling: indications and results. J Neurosurg 1999; 90 (02) 187-196
- 7 Wilson JT, Pettigrew LE, Teasdale GM. Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. J Neurotrauma 1998; 15 (08) 573-585
- 8 Honeybul S, Ho KM, Gillett GR. Long-term outcome following decompressive craniectomy: an inconvenient truth?. Curr Opin Crit Care 2018; 24 (02) 97-104
- 9 Barthélemy EJ, Melis M, Gordon E, Ullman JS, Germano IM. Decompressive craniectomy for severe traumatic brain injury: a systematic review. World Neurosurg 2016; 88: 411-420
- 10 Howard JL, Cipolle MD, Anderson M. et al. Outcome after decompressive craniectomy for the treatment of severe traumatic brain injury. J Trauma 2008; 65 (02) 380-385 , discussion 385–386
- 11 Tang Z, Yang R, Zhang J. et al. Outcomes of traumatic brain-injured patients with Glasgow Coma Scale < 5 and bilateral dilated pupils undergoing decompressive craniectomy. Front Neurol 2021; 12: 656369
- 12 Tien HC, Cunha JR, Wu SN. et al. Do trauma patients with a Glasgow Coma Scale score of 3 and bilateral fixed and dilated pupils have any chance of survival?. J Trauma 2006; 60 (02) 274-278
- 13 Malmivaara K, Kivisaari R, Hernesniemi J, Siironen J. Cost-effectiveness of decompressive craniectomy in traumatic brain injuries. Eur J Neurol 2011; 18 (04) 656-662
- 14 Behranwala R, Aojula N, Hagana A, Houbby N, de Preux DL. An economic evaluation for the use of decompressive craniectomy in the treatment of refractory traumatic intracranial hypertension. Brain Inj 2021; 35 (04) 444-452
- 15 van Dijck JT, Reith FC, van Erp IA. et al. Decision making in very severe traumatic brain injury (Glasgow Coma Scale 3-5): a literature review of acute neurosurgical management. J Neurosurg Sci 2018; 62 (02) 153-177
- 16 Jamous M, Barbarawi M, Samrah S, Khabaz MN, Al-Jarrah M, Dauod S. Emergency decompressive craniectomy for trauma patients with Glasgow Coma Scale of 3 and bilateral fixed dilated pupils. Eur J Trauma Emerg Surg 2010; 36 (05) 465-469
- 17 Ho KM, Honeybul S, Lind CR, Gillett GR, Litton E. Cost-effectiveness of decompressive craniectomy as a lifesaving rescue procedure for patients with severe traumatic brain injury. J Trauma 2011; 71 (06) 1637-1644 , discussion 1644
- 18 Gordy S, Klein E. Advance directives in the trauma intensive care unit: do they really matter?. Int J Crit Illn Inj Sci 2011; 1 (02) 132-137
- 19 Iserson KV. Getting advance directives to the public: a role for emergency medicine. Ann Emerg Med 1991; 20 (06) 692-696
- 20 Honeybul S, Ho KM, Lind CR, Corcoran T, Gillett GR. The retrospective application of a prediction model to patients who have had a decompressive craniectomy for trauma. J Neurotrauma 2009; 26 (12) 2179-2183
- 21 Honeybul S, Gillett GR, Ho KM, Lind CR. Neurotrauma and the rule of rescue. J Med Ethics 2011; 37 (12) 707-710
- 22 Honeybul S, Ho K, O'Hanlon S. Access to reliable information about long-term prognosis influences clinical opinion on use of lifesaving intervention. PLoS One 2012; 7 (02) e32375
- 23 Honeybul S, Gillett G, Ho K, Lind C. Ethical considerations for performing decompressive craniectomy as a life-saving intervention for severe traumatic brain injury. J Med Ethics 2012; 38 (11) 657-661
- 24 Inguaggiato G, Metselaar S, Molewijk B, Widdershoven G. How moral case deliberation supports good clinical decision making. AMA J Ethics 2019; 21 (10) E913-E919
- 25 Singer PA, Pellegrino ED, Siegler M. Clinical ethics revisited. BMC Med Ethics 2001; 2: E1
- 26 McKie J, Richardson J. The rule of rescue. Soc Sci Med 2003; 56 (12) 2407-2419
- 27 Olson S, Rosenfeld JV, Honeybul S. Neurotrauma, COVID and the rationing of intensive care: an ethical approach. Br J Neurosurg 2022; 36 (05) 594-599
- 28 Sheehan M. Resources and the rule of rescue. J Appl Philos 2007; 24 (04) 352-366
- 29 Cookson R, McCabe C, Tsuchiya A. Public healthcare resource allocation and the rule of rescue. J Med Ethics 2008; 34 (07) 540-544
- 30 Scheunemann LP, White DB. The ethics and reality of rationing in medicine. Chest 2011; 140 (06) 1625-1632
- 31 Knapp M. The cost-effectiveness challenge: is it worth it?. Alzheimers Res Ther 2015; 7 (01) 10
- 32 Little AS, Wu SJ. Cognitive bias and neurosurgical decision making. J Neurosurg 2021; 137 (01) 307-312
- 33 Baron J, Ritov I. Omission bias, individual differences, and normality. Organ Behav Hum Decis Process 2004; 94 (02) 74-85
- 34 Baker EF, Geiderman JM, Kraus CK, Goett R. The role of hospital ethics committees in emergency medicine practice. J Am Coll Emerg Physicians Open 2020; 1 (04) 403-407
- 35 Hajibabaee F, Joolaee S, Cheraghi MA, Salari P, Rodney P. Hospital/clinical ethics committees' notion: an overview. J Med Ethics Hist Med 2016; 9: 17
- 36 Roozenbeek B, Lingsma HF, Lecky FE. et al; International Mission on Prognosis Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Study Group, Corticosteroid Randomisation After Significant Head Injury (CRASH) Trial Collaborators, Trauma Audit and Research Network (TARN). Prediction of outcome after moderate and severe traumatic brain injury: external validation of the International Mission on Prognosis and Analysis of Clinical Trials (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models. Crit Care Med 2012; 40 (05) 1609-1617
- 37 Zarei H, Vazirizadeh-Mahabadi M, Adel Ramawad H, Sarveazad A, Yousefifard M. Prognostic value of CRASH and IMPACT models for predicting mortality and unfavorable outcome in traumatic brain injury; a systematic review and meta-analysis. Arch Acad Emerg Med 2023; 11 (01) e27
- 38 Wongchareon K, Thompson HJ, Mitchell PH, Barber J, Temkin N. IMPACT and CRASH prognostic models for traumatic brain injury: external validation in a South-American cohort. Inj Prev 2020; 26 (06) 546-554
- 39 Han J, King NKK, Neilson SJ, Gandhi MP, Ng I. External validation of the CRASH and IMPACT prognostic models in severe traumatic brain injury. J Neurotrauma 2014; 31 (13) 1146-1152
- 40 de Cássia Almeida Vieira R, Silveira JCP, Paiva WS. et al. Prognostic models in severe traumatic brain injury: a systematic review and meta-analysis. Neurocrit Care 2022; 37 (03) 790-805
- 41 Dijkland SA, Foks KA, Polinder S. et al. Prognosis in moderate and severe traumatic brain injury: a systematic review of contemporary models and validation studies. J Neurotrauma 2020; 37 (01) 1-13
- 42 Perel P, Arango M, Clayton T. et al; MRC CRASH Trial Collaborators. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ 2008; 336 (7641) 425-429
- 43 Steyerberg EW, Mushkudiani N, Perel P. et al. Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med 2008; 5 (08) e165 , discussion e165 discussion e
- 44 Marmarou A, Lu J, Butcher I. et al. IMPACT database of traumatic brain injury: design and description. J Neurotrauma 2007; 24 (02) 239-250
- 45 Eagle SR, Nwachuku E, Elmer J, Deng H, Okonkwo DO, Pease M. Performance of CRASH and IMPACT prognostic models for traumatic brain injury at 12 and 24 months post-injury. Neurotrauma Rep 2023; 4 (01) 118-123
- 46 Agrawal D, Ahmed S, Khan S, Gupta D, Sinha S, Satyarthee GD. Outcome in 2068 patients of head injury: experience at a level 1 trauma centre in India. Asian J Neurosurg 2016; 11 (02) 143-145
- 47 The CRASH trial management group, The CRASH trial collaborators. The CRASH trial protocol (Corticosteroid randomisation after significant head injury) [ISRCTN74459797]. BMC Emerg Med 2001; 1 (01) 1
- 48 Perel P, Edwards P, Wentz R, Roberts I. Systematic review of prognostic models in traumatic brain injury. BMC Med Inform Decis Mak 2006; 6 (01) 38
- 49 Elahi C, Adil SM, Sakita F. et al. Corticosteroid Randomization after Significant Head Injury and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury models compared with a machine learning-based predictive model from Tanzania. J Neurotrauma 2022; 39 (1-2): 151-158
- 50 Hashemi B, Amanat M, Baratloo A. et al. Validation of CRASH model in prediction of 14-day mortality and 6-month unfavorable outcome of head trauma patients. Emergency (Tehran) 2016; 4 (04) 196-201
- 51 Fazel M, Ahmadi S, Hajighanbari MJ. et al. Validation of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric traumatic brain injury. J Pediat Perspect 2019; 7 (12) 10413-10422
- 52 Honeybul S, Ho KM, Lind CR, Gillett GR. Validation of the CRASH model in the prediction of 18-month mortality and unfavorable outcome in severe traumatic brain injury requiring decompressive craniectomy. J Neurosurg 2014; 120 (05) 1131-1137
- 53 Honeybul S, Ho KM, Lind CR, Gillett GR. Observed versus predicted outcome for decompressive craniectomy: a population-based study. J Neurotrauma 2010; 27 (07) 1225-1232
- 54 Majdan M, Lingsma HF, Nieboer D, Mauritz W, Rusnak M, Steyerberg EW. Performance of IMPACT, CRASH and Nijmegen models in predicting six month outcome of patients with severe or moderate TBI: an external validation study. Scand J Trauma Resusc Emerg Med 2014; 22 (01) 68
- 55 Lee SH, Lee CH, Hwang SH, Kang DH. A machine learning-based prognostic model for the prediction of early death after traumatic brain injury: comparison with the Corticosteroid Randomization After Significant Head Injury (CRASH) model. World Neurosurg 2022; 166: e125-e134
- 56 Zhu X, Gao L, Luo J. A meta-analysis of predicting disorders of consciousness after traumatic brain injury by machine learning models. Alpha Psychiatry 2024; 25 (03) 290-303
- 57 Adil SM, Elahi C, Patel DN. et al. Deep learning to predict traumatic brain injury outcomes in the low-resource setting. World Neurosurg 2022; 164: e8-e16
- 58 Parikh RB, Obermeyer Z, Navathe AS. Regulation of predictive analytics in medicine. Science 2019; 363 (6429) 810-812
- 59 Saposnik G, Redelmeier D, Ruff CC, Tobler PN. Cognitive biases associated with medical decisions: a systematic review. BMC Med Inform Decis Mak 2016; 16 (01) 138
- 60 Ubbink DT. Shared decision-making should be a standard part of surgical care. Br J Surg 2022; 109 (11) 1049-1050
- 61 Hawkins AT, Fayanju OM, Maduekwe UN. Shared decision-making in the surgical sciences. JAMA Surg 2023; 158 (11) 1121-1122
