Predicting long-term neurological outcomes after severe traumatic brain injury requiring decompressive craniectomy: A comparison of the CRASH and IMPACT prognostic models

被引:26
|
作者
Honeybul, Stephen [1 ,2 ]
Ho, Kwok M. [3 ,4 ]
机构
[1] Sir Charles Gairdner Hosp, Dept Neurosurg, Hosp Ave, Perth, WA 6009, Australia
[2] Royal Perth Hosp, Dept Neurosurg, Perth, WA, Australia
[3] Univ Western Australia, Dept Intens Care Med, Nedlands, WA 6009, Australia
[4] Univ Western Australia, Sch Populat Hlth, Nedlands, WA 6009, Australia
关键词
Decompressive craniectomy; CRASH prediction model; IMPACT prediction model; MIDDLE CEREBRAL-ARTERY; EXTERNAL VALIDATION; HEAD-INJURY; INTRACRANIAL HYPERTENSION; SURGICAL DECOMPRESSION; BIFRONTAL CRANIECTOMY; MALIGNANT INFARCTION; HEMICRANIECTOMY; MULTICENTER; MODERATE;
D O I
10.1016/j.injury.2016.04.017
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Predicting long-term neurological outcomes after severe traumatic brain (TBI) is important, but which prognostic model in the context of decompressive craniectomy has the best performance remains uncertain. Methods: This prospective observational cohort study included all patients who had severe TBI requiring decompressive craniectomy between 2004 and 2014, in the two neurosurgical centres in Perth, Western Australia. Severe disability, vegetative state, or death were defined as unfavourable neurological outcomes. Area under the receiver-operating-characteristic curve (AUROC) and slope and intercept of the calibration curve were used to assess discrimination and calibration of the CRASH (Corticosteroid-Randomisation-After-Significant-Head injury) and IMPACT (International-Mission-For-Prognosis-And-Clinical-Trial) models, respectively. Results: Of the 319 patients included in the study, 119 (37%) had unfavourable neurological outcomes at 18-month after decompressive craniectomy for severe TBI. Both CRASH (AUROC 0.86, 95% confidence interval 0.81-0.90) and IMPACT full-model (AUROC 0.85, 95% CI 0.80-0.89) were similar in discriminating between favourable and unfavourable neurological outcome at 18-month after surgery (p = 0.690 for the difference in AUROC derived from the two models). Although both models tended to over-predict the risks of long-term unfavourable outcome, the IMPACT model had a slightly better calibration than the CRASH model (intercept of the calibration curve = -4.1 vs. -5.7, and log likelihoods -159 vs. -360, respectively), especially when the predicted risks of unfavourable outcome were <80%. Conclusions: Both CRASH and IMPACT prognostic models were good in discriminating between favourable and unfavourable long-term neurological outcome for patients with severe TBI requiring decompressive craniectomy, but the calibration of the IMPACT full-model was better than the CRASH model. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1886 / 1892
页数:7
相关论文
共 50 条
  • [21] PROGNOSTIC SIGNIFICANCE OF MAGNETIC RESONANCE IMAGING IN PATIENTS WITH SEVERE NONPENETRATING TRAUMATIC BRAIN INJURY REQUIRING DECOMPRESSIVE CRANIECTOMY
    Ho, Kwok M.
    Honeybul, Stephen
    Ambati, Ravi
    SHOCK, 2018, 49 (06): : 72 - 73
  • [22] Study of the Long-Term Results of Decompressive Craniectomy after Severe Traumatic Brain Injury Based on a Series of 60 Consecutive Cases
    Gouello, Gaetane
    Hamel, Olivier
    Asehnoune, Karim
    Bord, Eric
    Robert, Roger
    Buffenoir, Kevin
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [23] Evaluation of decompressive craniectomy in mice after severe traumatic brain injury
    Liu, Yuheng
    Liu, Xuanhui
    Chen, Zhijuan
    Wang, Yuanzhi
    Li, Jing
    Gong, Junjie
    He, Anqi
    Zhao, Mingyu
    Yang, Chen
    Yang, Weidong
    Wang, Zengguang
    FRONTIERS IN NEUROLOGY, 2022, 13
  • [24] Outcome after decompressive craniectomy for the treatment of severe traumatic brain injury
    Howard, Jerry Lee
    Cipolle, Mark D.
    Anderson, Meredith
    Sabella, Victoria
    Shollenberger, Daniele
    Li, P. Mark
    Pasquale, Michael D.
    JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 2008, 65 (02): : 380 - 385
  • [25] Prognostic Predictors of Early Outcomes and Discharge Status of Patients Undergoing Decompressive Craniectomy After Severe Traumatic Brain Injury
    Tian, Runfa
    Liu, Weiming
    Dong, Jinqian
    Zhang, Ji
    Xu, Long
    Zhang, Bin
    Tao, Xiaogang
    Li, Jingsheng
    Liu, Baiyun
    WORLD NEUROSURGERY, 2019, 126 : E101 - E108
  • [26] Decompressive craniectomy for severe traumatic brain injury in children: analysis of long-term neuropsychological impairment and review of the literature
    Manzolli Ballestero, Matheus Fernando
    Furlanetti, Luciano Lopes
    Augusto, Lucas Pires
    Carmona Chaves, Pedro Henrique
    Santos, Marcelo Volpon
    de Oliveira, Ricardo Santos
    CHILDS NERVOUS SYSTEM, 2019, 35 (09) : 1507 - 1515
  • [27] Decompressive craniectomy for severe traumatic brain injury in children: analysis of long-term neuropsychological impairment and review of the literature
    Matheus Fernando Manzolli Ballestero
    Luciano Lopes Furlanetti
    Lucas Pires Augusto
    Pedro Henrique Carmona Chaves
    Marcelo Volpon Santos
    Ricardo Santos de Oliveira
    Child's Nervous System, 2019, 35 : 1507 - 1515
  • [28] Prognostic Impact of Intracranial Pressure Monitoring After Primary Decompressive Craniectomy for Traumatic Brain Injury
    Huang, Yu-Hua
    Ou, Chien-Yu
    WORLD NEUROSURGERY, 2016, 88 : 59 - 63
  • [29] Prognostic significance of blood-brain barrier disruption in patients with severe nonpenetrating traumatic brain injury requiring decompressive craniectomy
    Ho, Kwok M.
    Honeybul, Stephen
    Yip, Cheng B.
    Silbert, Benjamin I.
    JOURNAL OF NEUROSURGERY, 2014, 121 (03) : 674 - 679
  • [30] Long term outcomes following decompressive craniectomy for severe head injury
    Meier, U.
    Ahmadi, S.
    Killeen, T.
    Al-Zain, F. T.
    Lemcke, J.
    INTRACRANIAL PRESSURE AND BRAIN MONITORING XIII: MECHANISMS AND TREATMENT, 2008, 102 : 29 - 31