Literature DB >> 31103253

Comparative study of computed tomographic scoring systems and predictors of early mortality in severe traumatic brain injury.

Raghav Pargaonkar1, Vinod Kumar2, Girish Menon3, Ajay Hegde4.   

Abstract

Traumatic Brain Injury (TBI) is a significant cause of disability, mortality and socio-economic loss in developing countries. Prognostication and early prediction of outcome will help in judicious allocation of resources. The three CT scoring systems, commonly employed in predicting outcome are the Marshall, Rotterdam and the Helsinki CT Scoring system. This is a prospective observational study to compare the above scoring systems and their role in predicting the outcome after TBI. A total of 157 patients were included in this study. Primary objective was early outcome assessed by Glasgow Outcome Scale at discharge and 3 months. On comparing the three CT scoring systems, the Helsinki CT score provided a better positive predictive value of 87.5% for mortality in comparison with Marshall (79.3%) and Rotterdam Score (82.5%). Summarising the results for ROC analysis of the three CT scoring systems, the area under curve was 0.742 for Marshall score, 0.751 for the Rotterdam score and 0.815 for the Helsinki score, which upholds the superiority of the Helsinki CT score in predicting the mortality compared to other two. The linear relationship of higher the score with added risk of mortality was seen with Rotterdam score and Helsinki score. Individual CT findings of positive midline shift, obliteration of suprasellar cisterns, presence of subarachnoid haemorrhage, intraventricular haemorrhage and large mass lesions were found to be independent predictors of mortality. The Helsinki Scoring system is a better prognostic model with significantly improved outcome prediction accuracy, although the Marshall and Rotterdam scoring systems have good predictability for assessing mortality.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CT scoring; Helsinki score; Marshall score; Rotterdam score; TBI

Mesh:

Year:  2019        PMID: 31103253     DOI: 10.1016/j.jocn.2019.05.011

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  6 in total

Review 1.  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

Review 2.  Baseline Predictors of Survival, Neurological Recovery, Cognitive Function, Neuropsychiatric Outcomes, and Return to Work in Patients after a Severe Traumatic Brain Injury: an Updated Review.

Authors:  Haifa Algethamy
Journal:  Mater Sociomed       Date:  2020-06

3.  Evaluation of Computed Tomography Scoring Systems in the Prediction of Short-Term Mortality in Traumatic Brain Injury Patients from a Low- to Middle-Income Country.

Authors:  Matheus Rodrigues de Souza; Mayra Aparecida Côrtes; Gustavo Carlos Lucena da Silva; Davi Jorge Fontoura Solla; Eryanne Garcia Marques; Wellithon Luz Oliveira Junior; Caroline Ferreira Fagundes; Manoel Jacobsen Teixeira; Robson Luis Oliveira de Amorim; Andres M Rubiano; Angelos G Kolias; Wellingson Silva Paiva
Journal:  Neurotrauma Rep       Date:  2022-04-14

Review 4.  Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients.

Authors:  Clément Brossard; Benjamin Lemasson; Arnaud Attyé; Jules-Arnaud de Busschère; Jean-François Payen; Emmanuel L Barbier; Jules Grèze; Pierre Bouzat
Journal:  Front Neurol       Date:  2021-06-10       Impact factor: 4.003

5.  Admission Levels of Interleukin 10 and Amyloid β 1-40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury.

Authors:  Jussi P Posti; Riikka S K Takala; Rahul Raj; Teemu M Luoto; Leire Azurmendi; Linnéa Lagerstedt; Mehrbod Mohammadian; Iftakher Hossain; Jessica Gill; Janek Frantzén; Mark van Gils; Peter J Hutchinson; Ari J Katila; Pia Koivikko; Henna-Riikka Maanpää; David K Menon; Virginia F Newcombe; Jussi Tallus; Kaj Blennow; Olli Tenovuo; Henrik Zetterberg; Jean-Charles Sanchez
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

Review 6.  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

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.