Literature DB >> 24703472

Early CT findings to predict early death in patients with traumatic brain injury: Marshall and Rotterdam CT scoring systems compared in the major academic tertiary care hospital in northeastern Japan.

Daddy Mata-Mbemba1, Shunji Mugikura2, Atsuhiro Nakagawa3, Takaki Murata1, Kiyoshi Ishii4, Li Li1, Kei Takase1, Shigeki Kushimoto5, Shoki Takahashi1.   

Abstract

RATIONALE AND
OBJECTIVES: Computed tomography (CT) plays a crucial role in early assessment of patients with traumatic brain injury (TBI). Marshall and Rotterdam are the mostly used scoring systems, in which CT findings are grouped differently. We sought to determine the scoring system and initial CT findings predicting the death at hospital discharge (early death) in patients with TBI.
MATERIALS AND METHODS: We included 245 consecutive adult patients with mild-to-severe TBI. Their initial CT and status at hospital discharge (dead or alive) were reviewed, and both CT scores were calculated. We examined whether each score was related to early death; compared the two scoring systems' performance in predicting early death, and identified the CT findings that are independent predictors of early death.
RESULTS: More deaths occurred among patients with higher Marshall and Rotterdam scores (both P < .05, Mann-Whitney U test). The areas under the receiver operating characteristic curve (AUCs) indicated that both scoring systems had similarly good discriminative power in predicting early death (Marshall, AUC = 0. 85 vs. Rotterdam, AUC = 0.85). Basal cistern absence (odds ratio [OR] = 771.5, P < .0001), positive midline shift (OR = 56.2, P = .0011), hemorrhagic mass volume ≥25 mL (OR = 12.9, P = .0065), and intraventricular or subarachnoid hemorrhage (OR = 3.8, P = .0395) were independent predictors of early death.
CONCLUSIONS: Both Marshall and Rotterdam scoring systems can be used to predict early death in patients with TBI. The performance of the Marshall score is at least equal to that of the Rotterdam score. Thus, although older, the Marshall score remains useful in predicting patients' prognosis.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; Marshall; Rotterdam; early death; traumatic brain injury

Mesh:

Year:  2014        PMID: 24703472     DOI: 10.1016/j.acra.2014.01.017

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  12 in total

Review 1.  Role of Microvascular Disruption in Brain Damage from Traumatic Brain Injury.

Authors:  Aric F Logsdon; Brandon P Lucke-Wold; Ryan C Turner; Jason D Huber; Charles L Rosen; James W Simpkins
Journal:  Compr Physiol       Date:  2015-07-01       Impact factor: 9.090

2.  Lateral Ventricle Volume Asymmetry Predicts Midline Shift in Severe Traumatic Brain Injury.

Authors:  Arnold Tóth; Ilona Schmalfuss; Shelley C Heaton; Andrea Gabrielli; H Julia Hannay; Linda Papa; Gretchen M Brophy; Kevin K W Wang; András Büki; Attila Schwarcz; Ronald L Hayes; Claudia S Robertson; Steven A Robicsek
Journal:  J Neurotrauma       Date:  2015-05-19       Impact factor: 5.269

3.  Acute Imaging Findings Predict Recovery of Cognitive and Motor Function after Inpatient Rehabilitation for Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

Authors:  Eric T Caliendo; Nayoung Kim; David Edasery; Gulce Askin; Sophie Nowak; Linda M Gerber; Katherine T Baum; Laura S Blackwell; Christine H Koterba; Kristen R Hoskinson; Brad G Kurowski; Matthew McLaughlin; Sarah J Tlustos; William D Watson; Sumit N Niogi; Stacy J Suskauer; Sudhin A Shah
Journal:  J Neurotrauma       Date:  2021-03-01       Impact factor: 4.869

4.  Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models.

Authors:  Marek Majdan; Alexandra Brazinova; Martin Rusnak; Johannes Leitgeb
Journal:  J Neurosci Rural Pract       Date:  2017 Jan-Mar

5.  Day-of-Injury Computed Tomography and Longitudinal Rehabilitation Outcomes: A Comparison of the Marshall and Rotterdam Computed Tomography Scoring Methods.

Authors:  Kayla M Frodsham; Joseph E Fair; R Brock Frost; Ramona O Hopkins; Erin D Bigler; Sarah Majercik; Joseph Bledsoe; David Ryser; Joel MacDonald; Ryan Barrett; Susan D Horn; David Pisani; Mark Stevens; Michael J Larson
Journal:  Am J Phys Med Rehabil       Date:  2020-09       Impact factor: 3.412

6.  Canadian CT head rule and New Orleans Criteria in mild traumatic brain injury: comparison at a tertiary referral hospital in Japan.

Authors:  Daddy Mata-Mbemba; Shunji Mugikura; Atsuhiro Nakagawa; Takaki Murata; Yumiko Kato; Yasuko Tatewaki; Kei Takase; Shigeki Kushimoto; Teiji Tominaga; Shoki Takahashi
Journal:  Springerplus       Date:  2016-02-25

7.  The delayed detection of an acute neurological worsening increases traumatic brain injury lethality

Authors:  Alexander Rodríguez; Eliana Cervera; Rafael Tuesca; Karen Flórez; Ricardo Romero; Pedro J Villalba
Journal:  Biomedica       Date:  2020-03-01       Impact factor: 0.935

8.  Marshall and Rotterdam Computed Tomography scores in predicting early deaths after brain trauma.

Authors:  Mahyar Mohammadifard; Kazem Ghaemi; Hamed Hanif; Gholamreza Sharifzadeh; Marzieh Haghparast
Journal:  Eur J Transl Myol       Date:  2018-07-16

9.  Prognostic performance of computerized tomography scoring systems in civilian penetrating traumatic brain injury: an observational study.

Authors:  Matias Lindfors; Caroline Lindblad; David W Nelson; Bo-Michael Bellander; Jari Siironen; Rahul Raj; Eric P Thelin
Journal:  Acta Neurochir (Wien)       Date:  2019-10-28       Impact factor: 2.216

Review 10.  A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury.

Authors:  Elisabeth A Wilde; Ina-Beate Wanner; Kimbra Kenney; Jessica Gill; James R Stone; Seth Disner; Caroline Schnakers; Retsina Meyer; Eric M Prager; Magali Haas; Andreas Jeromin
Journal:  J Neurotrauma       Date:  2022-02-14       Impact factor: 5.269

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