Literature DB >> 23354263

Prognosis in moderate and severe traumatic brain injury: external validation of the IMPACT models and the role of extracranial injuries.

Hester Lingsma1, Teuntje M J C Andriessen, Iain Haitsema, Janneke Horn, Joukje van der Naalt, Gaby Franschman, Andrew I R Maas, Pieter E Vos, Ewout W Steyerberg.   

Abstract

BACKGROUND: Several prognostic models to predict outcome in traumatic brain injury (TBI) have been developed, but few are externally validated. We aimed to validate the International Mission on Prognosis and Analysis of Clinical Trials in TBI (IMPACT) prognostic models in a recent unselected patient cohort and to assess the additional prognostic value of extracranial injury.
METHODS: The Prospective Observational COhort Neurotrauma (POCON) registry contains 508 patients with moderate or severe TBI, who were admitted in 2008 and 2009 to five trauma centers in the Netherlands. We predicted the probability of mortality and unfavorable outcome at 6 months after injury with the IMPACT prognostic models. We studied discrimination (area under the curve [AUC]) and calibration. We added the extracranial component of the Injury Severity Score (ISS) to the models and calculated the increase in AUC.
RESULTS: The IMPACT models had an adequate discrimination in the POCON registry, with AUCs in the external validation between 0.85 and 0.90 for mortality and between 0.82 and 0.87 for unfavorable outcome. Observed outcomes agreed well with predicted outcomes. Adding extracranial injury slightly improved predictions in the overall population (unfavorable outcome: AUC increase of 0.002, p = 0.02; mortality: AUC increase of 0.000, p = 0.37) but more clearly in patients with moderate TBI (unfavorable outcome: AUC increase of 0.008, p < 0.01, mortality: AUC increase of 0.012, p = 0.02) and patients with minor computed tomographic result abnormalities (unfavorable outcome: AUC increase of 0.013, p < 0.01; mortality: AUC increase of 0.001, p = 0.08).
CONCLUSION: The IMPACT models performed well in a recent series of TBI patients. We found some additional impact of extracranial injury on outcome, specifically in patients with less severe TBI or minor computed tomographic result abnormalities. LEVEL OF EVIDENCE: Epidemiologic/prognostic study.

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Year:  2013        PMID: 23354263     DOI: 10.1097/TA.0b013e31827d602e

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  36 in total

1.  Association between Cerebrovascular Reactivity Monitoring and Mortality Is Preserved When Adjusting for Baseline Admission Characteristics in Adult Traumatic Brain Injury: A CENTER-TBI Study.

Authors:  Frederick A Zeiler; Ari Ercole; Erta Beqiri; Manuel Cabeleira; Eric P Thelin; Nino Stocchetti; Ewout W Steyerberg; Andrew I R Maas; David K Menon; Marek Czosnyka; Peter Smielewski
Journal:  J Neurotrauma       Date:  2019-12-30       Impact factor: 5.269

2.  Response to Foks et al. (doi: 10.1089/neu.2018.5979): Why Our Long-Term Functional Prognosis Tools are a Valuable Contribution to the Traumatic Brain Injury Outcome Literature.

Authors:  William C Walker; Adam P Sima; Jeanne M Hoffman; Cynthia Harrison-Felix; Amma A Agyemang; Katharine A Stromberg; Jennifer H Marwitz; Allen W Brown; Kristin M Graham; Randall Merchant; Jeffrey S Kreutzer
Journal:  J Neurotrauma       Date:  2018-12-04       Impact factor: 5.269

Review 3.  Moderate Traumatic Brain Injury: The Grey Zone of Neurotrauma.

Authors:  Daniel Agustín Godoy; Andrés Rubiano; Alejandro A Rabinstein; Ross Bullock; Juan Sahuquillo
Journal:  Neurocrit Care       Date:  2016-10       Impact factor: 3.210

4.  The leap to ordinal: Detailed functional prognosis after traumatic brain injury with a flexible modelling approach.

Authors:  Shubhayu Bhattacharyay; Ioan Milosevic; Lindsay Wilson; David K Menon; Robert D Stevens; Ewout W Steyerberg; David W Nelson; Ari Ercole
Journal:  PLoS One       Date:  2022-07-05       Impact factor: 3.752

5.  Hematoma Enlargement Among Patients with Traumatic Brain Injury: Analysis of a Prospective Multicenter Clinical Trial.

Authors:  Adnan I Qureshi; Ahmed A Malik; Malik M Adil; Archie Defillo; Gregory T Sherr; M Fareed K Suri
Journal:  J Vasc Interv Neurol       Date:  2015-07

6.  Testing a Multivariate Proteomic Panel for Traumatic Brain Injury Biomarker Discovery: A TRACK-TBI Pilot Study.

Authors:  J Russell Huie; Ramon Diaz-Arrastia; John K Yue; Marco D Sorani; Ava M Puccio; David O Okonkwo; Geoffrey T Manley; Adam R Ferguson
Journal:  J Neurotrauma       Date:  2018-09-27       Impact factor: 5.269

7.  Life Space Assessment in Spinal Cord Injury.

Authors:  Desiree Lanzino; Elizabeth Sander; Bethany Mansch; Ashley Jones; Megan Gill; John Hollman
Journal:  Top Spinal Cord Inj Rehabil       Date:  2016

8.  External Validation and Recalibration of Risk Prediction Models for Acute Traumatic Brain Injury among Critically Ill Adult Patients in the United Kingdom.

Authors:  David A Harrison; Kathryn A Griggs; Gita Prabhu; Manuel Gomes; Fiona E Lecky; Peter J A Hutchinson; David K Menon; Kathryn M Rowan
Journal:  J Neurotrauma       Date:  2015-06-12       Impact factor: 5.269

9.  Severe traumatic brain injury management in Tanzania: analysis of a prospective cohort.

Authors:  Halinder S Mangat; Xian Wu; Linda M Gerber; Hamisi K Shabani; Albert Lazaro; Andreas Leidinger; Maria M Santos; Paul H McClelland; Hanna Schenck; Pascal Joackim; Japhet G Ngerageza; Franziska Schmidt; Philip E Stieg; Roger Hartl
Journal:  J Neurosurg       Date:  2021-01-22       Impact factor: 5.408

10.  Advancing care for traumatic brain injury: findings from the IMPACT studies and perspectives on future research.

Authors:  Andrew I R Maas; Gordon D Murray; Bob Roozenbeek; Hester F Lingsma; Isabella Butcher; Gillian S McHugh; James Weir; Juan Lu; Ewout W Steyerberg
Journal:  Lancet Neurol       Date:  2013-10-17       Impact factor: 44.182

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