Literature DB >> 21933014

Prospective independent validation of IMPACT modeling as a prognostic tool in severe traumatic brain injury.

David M Panczykowski1, Ava M Puccio, Bobby J Scruggs, Joshua S Bauer, Allison J Hricik, Sue R Beers, David O Okonkwo.   

Abstract

Clinical trials in traumatic brain injury (TBI) have been fraught with failure due in part to heterogeneity in pathology and insensitive outcome measurements. The International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) prognostic model has been purposed as a means of risk adjustment and outcome prediction for use in trial design and analysis. The purpose of this study was to evaluate the performance of the IMPACT model in predicting 6-month functional outcome and mortality using prospectively collected data at a large, Level 1 neurotrauma center. This population-based cohort study included all TBI patients ≥14 years of age admitted with a Glasgow Coma Scale (GCS) score of ≤8 (severe TBI) to the University of Pittsburgh Medical Center between July 1994 and May 2009. Clinical data were prospectively collected and linked to 6-month functional outcome (Glasgow Outcome Scale [GOS]) and mortality. The discriminatory power and calibration of the three iterations of the IMPACT model (core, extended, and lab) were assessed using multiple regression analyses and indicated by the area under the receiver operating characteristic curve (AUC). A sample of 587 patients was available for analysis; the mean age was 37.8±17 years. The median 6-month GOS was 3 (IQR 3); 6-month mortality was 41%. The prognostic models were composed of age, motor score, and pupillary reactivity (core model), Marshall grade on head CT and secondary insults (extended), and laboratory values (lab); all of these displayed good prediction ability for unfavorable outcome and mortality (unfavorable outcome AUC=0.76, 0.79, 0.76; mortality AUC=0.78, 0.83, 0.83, respectively). All model iterations displayed adequate calibration for predicting unfavorable outcome and mortality. Prospective, independent validation supports the IMPACT prognostic model's prediction of patient 6-month functional status and mortality after severe TBI. The IMPACT prognostic model is an effective instrument to assist TBI study design and analysis.

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Year:  2011        PMID: 21933014     DOI: 10.1089/neu.2010.1482

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  20 in total

1.  Outcome prediction within twelve hours after severe traumatic brain injury by quantitative cerebral blood flow.

Authors:  Paul Kaloostian; Claudia Robertson; Shankar P Gopinath; Martina Stippler; C Christopher King; Clifford Qualls; Howard Yonas; Edwin M Nemoto
Journal:  J Neurotrauma       Date:  2012-03-20       Impact factor: 5.269

Review 2.  Beta-blockers and Traumatic Brain Injury: A Systematic Review, Meta-analysis, and Eastern Association for the Surgery of Trauma Guideline.

Authors:  Aziz S Alali; Kaushik Mukherjee; Victoria A McCredie; Eyal Golan; Prakesh S Shah; James M Bardes; Susan E Hamblin; Elliott R Haut; James C Jackson; Kosar Khwaja; Nimitt J Patel; Satish R Raj; Laura D Wilson; Avery B Nathens; Mayur B Patel
Journal:  Ann Surg       Date:  2017-12       Impact factor: 12.969

3.  Predicting 14-day mortality after severe traumatic brain injury: application of the IMPACT models in the brain trauma foundation TBI-trac® New York State database.

Authors:  Bob Roozenbeek; Ya-Lin Chiu; Hester F Lingsma; Linda M Gerber; Ewout W Steyerberg; Jamshid Ghajar; Andrew I R Maas
Journal:  J Neurotrauma       Date:  2012-01-26       Impact factor: 5.269

4.  Volumetric analysis of day of injury computed tomography is associated with rehabilitation outcomes after traumatic brain injury.

Authors:  Sarah Majercik; Joseph Bledsoe; David Ryser; Ramona O Hopkins; Joseph E Fair; R Brock Frost; Joel MacDonald; Ryan Barrett; Susan Horn; David Pisani; Erin D Bigler; Scott Gardner; Mark Stevens; Michael J Larson
Journal:  J Trauma Acute Care Surg       Date:  2017-01       Impact factor: 3.313

5.  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

Review 6.  Prognostic Models in Severe Traumatic Brain Injury: A Systematic Review and Meta-analysis.

Authors:  Rita de Cássia Almeida Vieira; Juliana Cristina Pereira Silveira; Wellingson Silva Paiva; Daniel Vieira de Oliveira; Camila Pedroso Estevam de Souza; Eduesley Santana-Santos; Regina Marcia Cardoso de Sousa
Journal:  Neurocrit Care       Date:  2022-08-09       Impact factor: 3.532

7.  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.

Authors:  Bob Roozenbeek; Hester F Lingsma; Fiona E Lecky; Juan Lu; James Weir; Isabella Butcher; Gillian S McHugh; Gordon D Murray; Pablo Perel; Andrew I Maas; Ewout W Steyerberg
Journal:  Crit Care Med       Date:  2012-05       Impact factor: 7.598

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.  The early-stage triple-negative breast cancer landscape derives a novel prognostic signature and therapeutic target.

Authors:  Yun-Song Yang; Yi-Xing Ren; Cheng-Lin Liu; Shuang Hao; Xiao-En Xu; Xi Jin; Yi-Zhou Jiang; Zhi-Ming Shao
Journal:  Breast Cancer Res Treat       Date:  2022-03-25       Impact factor: 4.872

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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