Literature DB >> 21904253

Prognostic value of major extracranial injury in traumatic brain injury: an individual patient data meta-analysis in 39,274 patients.

Nikki van Leeuwen1, Hester F Lingsma, Pablo Perel, Fiona Lecky, Bob Roozenbeek, Juan Lu, Haleema Shakur, James Weir, Ewout W Steyerberg, Andrew I R Maas.   

Abstract

BACKGROUND: Major extracranial injury (MEI) is common in traumatic brain injury (TBI) patients, but the effect on outcome is controversial.
OBJECTIVE: To assess the prognostic value of MEI on mortality after TBI in an individual patient data meta-analysis of 3 observational TBI studies (International Mission on Prognosis and Clinical Trial Design in TBI [IMPACT]), a randomized controlled trial (Corticosteroid Randomization After Significant Head Injury [CRASH]), and a trauma registry (Trauma Audit and Research Network [TARN]).
METHODS: MEI (extracranial injury with an Abbreviated Injury Scale ≥ 3 or requiring hospital admission) was related to mortality with logistic regression analysis, adjusted for age, Glasgow Coma Scale motor score, and pupil reactivity and stratified by TBI severity. We pooled odds ratios (ORs) with random-effects meta-analysis.
RESULTS: We included 39,274 patients. Mortality was 25%, and 32% had MEI. MEI was a strong predictor for mortality in TARN, with adjusted odds ratios of 2.81 (95% confidence interval [CI], 2.44-3.23) in mild, 2.18 (95% CI, 1.80-2.65) in moderate, and 2.14 (95% CI, 1.95-2.35) in severe TBI patients. The prognostic effect was smaller in IMPACT and CRASH, with pooled adjusted odds ratios of 2.14 (95% CI, 0.93-4.91) in mild, 1.46 (95% CI, 1.14-1.85) in moderate, and 1.18 (95% CI, 1.03-1.55) in severe TBI. When patients who died within 6 hours after injury were excluded from TARN, the effect of MEI was comparable with IMPACT and CRASH.
CONCLUSION: MEI is an important prognostic factor for mortality in TBI patients. However, the effect varies by population, which explains the controversy in the literature. The strength of the effect is smaller in patients with more severe brain injury and depends on time of inclusion in a study.

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Year:  2012        PMID: 21904253     DOI: 10.1227/NEU.0b013e318235d640

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  24 in total

1.  Outcome prediction after mild and complicated mild traumatic brain injury: external validation of existing models and identification of new predictors using the TRACK-TBI pilot study.

Authors:  Hester F Lingsma; John K Yue; Andrew I R Maas; Ewout W Steyerberg; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2014-11-25       Impact factor: 5.269

2.  Standardizing data collection in traumatic brain injury.

Authors:  Andrew I R Maas; Cynthia L Harrison-Felix; David Menon; P David Adelson; Tom Balkin; Ross Bullock; Doortje C Engel; Wayne Gordon; Jean Langlois-Orman; Henry L Lew; Claudia Robertson; Nancy Temkin; Alex Valadka; Mieke Verfaellie; Mark Wainwright; David W Wright; Karen Schwab
Journal:  J Neurotrauma       Date:  2011-02-05       Impact factor: 5.269

3.  Blood pressure regulation to prevent progression of blunt traumatic intracranial hemorrhage in stable patients.

Authors:  Nikolay Bugaev; Majid Al-Hazmi; McKaila Allcorn; Sandra Strack Arabian; Ron Riesenburger; Mina Safain; Shane Burke; Augustus Colangelo; Reuven Rabinovici
Journal:  Neurocrit Care       Date:  2014-08       Impact factor: 3.210

4.  Elevated cell-free plasma DNA level as an independent predictor of mortality in patients with severe traumatic brain injury.

Authors:  Edison Moraes Rodrigues Filho; Daniel Simon; Nilo Ikuta; Caroline Klovan; Fernando Augusto Dannebrock; Carla Oliveira de Oliveira; Andrea Regner
Journal:  J Neurotrauma       Date:  2014-08-04       Impact factor: 5.269

5.  Interrelationships Between Post-TBI Employment and Substance Abuse: A Cross-lagged Structural Equation Modeling Analysis.

Authors:  Nabil Awan; Dominic DiSanto; Shannon B Juengst; Raj G Kumar; Hilary Bertisch; Janet Niemeier; Jesse R Fann; Jason Sperry; Amy K Wagner
Journal:  Arch Phys Med Rehabil       Date:  2019-12-07       Impact factor: 3.966

6.  S100b as a prognostic biomarker in outcome prediction for patients with severe traumatic brain injury.

Authors:  Akash Goyal; Michelle D Failla; Christian Niyonkuru; Krutika Amin; Anthony Fabio; Rachel P Berger; Amy K Wagner
Journal:  J Neurotrauma       Date:  2013-06-01       Impact factor: 5.269

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

Review 8.  Central nervous system injury-induced immune suppression.

Authors:  Eric A Sribnick; Phillip G Popovich; Mark W Hall
Journal:  Neurosurg Focus       Date:  2022-02       Impact factor: 4.047

9.  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

10.  Polytrauma Is Associated with Increased Three- and Six-Month Disability after Traumatic Brain Injury: A TRACK-TBI Pilot Study.

Authors:  John K Yue; Gabriela G Satris; Cecilia L Dalle Ore; J Russell Huie; Hansen Deng; Ethan A Winkler; Young M Lee; Mary J Vassar; Sabrina R Taylor; David M Schnyer; Hester F Lingsma; Ava M Puccio; Esther L Yuh; Pratik Mukherjee; Alex B Valadka; Adam R Ferguson; Amy J Markowitz; David O Okonkwo; Geoffrey T Manley
Journal:  Neurotrauma Rep       Date:  2020-07-23
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