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Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly

OBJECTIVES: This study aimed to evaluate the trauma and injury severity score (TRISS), IMPACT (international mission for prognosis and analysis of clinical trials), and CRASH (corticosteroid randomization after significant head injury) prognostic models for prediction of outcome after moderate-to-se...

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Autores principales: Moorthy, Dhoni Ganesh Siva Rama Krishna, Rajesh, Krishnappa, Priya, Sarathy Manju, Abhinov, Thaminaina, Devendra Prasad, Kalavagunta Jyothiswarapillai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477815/
https://www.ncbi.nlm.nih.gov/pubmed/34660360
http://dx.doi.org/10.4103/ajns.AJNS_512_20
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author Moorthy, Dhoni Ganesh Siva Rama Krishna
Rajesh, Krishnappa
Priya, Sarathy Manju
Abhinov, Thaminaina
Devendra Prasad, Kalavagunta Jyothiswarapillai
author_facet Moorthy, Dhoni Ganesh Siva Rama Krishna
Rajesh, Krishnappa
Priya, Sarathy Manju
Abhinov, Thaminaina
Devendra Prasad, Kalavagunta Jyothiswarapillai
author_sort Moorthy, Dhoni Ganesh Siva Rama Krishna
collection PubMed
description OBJECTIVES: This study aimed to evaluate the trauma and injury severity score (TRISS), IMPACT (international mission for prognosis and analysis of clinical trials), and CRASH (corticosteroid randomization after significant head injury) prognostic models for prediction of outcome after moderate-to-severe traumatic brain injury (TBI) in the elderly following road traffic accident. DESIGN: This was a prospective observational study. MATERIALS AND METHODS: This was a prospective observational study on 104 elderly trauma patients who were admitted to tertiary care hospital, over a consecutive period of 18 months from December 2016 to May 2018. On the day of admission, data were collected from each patient to compute the TRISS, IMPACT, and CRASH and outcome evaluation was prospectively done at discharge, 14(th) day, and 6-month follow-up. RESULTS: This study included 104 TBI patients with a mean age of 66.75 years and with a mortality rate of 32% and 45%, respectively, at discharge and at the end of 6 months. The predictive accuracies of the TRISS, CRASH (computed tomography), and IMPACT (core, extended, laboratory) were calculated using receiver operator characteristic (ROC) curves for the prediction of mortality. Best cutoff point for predicting mortality in elderly TBI patients using TRISS system was a score of ≤88 (sensitivity 94%, specificity of 80%, and area under ROC curve 0.95), similarly cutoff point under the CRASH at 14 days was score of >35 (100%, 80%, 0.958); for CRASH at 6 months, best cutoff point was at >84 (88%, 88%, 0.959); for IMPACT (core), it was >38 (88%, 93%, 0.976); for IMPACT (extended), it was >27 (91%, 89%, 0.968); and for IMPACT (lab), it was >41 (82%, 100%, 0.954). There were statistical differences among TRISS, CRASH (at 14 days and 6 months), and IMPACT (core, extended, lab) in terms of area under the ROC curve (P < 0.0001). CONCLUSION: IMPACT (core, extended) models were the strongest predictors of mortality in moderate-to-severe TBI when compared with the TRISS, CRASH, and IMPACT (lab) models.
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spelling pubmed-84778152021-10-14 Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly Moorthy, Dhoni Ganesh Siva Rama Krishna Rajesh, Krishnappa Priya, Sarathy Manju Abhinov, Thaminaina Devendra Prasad, Kalavagunta Jyothiswarapillai Asian J Neurosurg Original Article OBJECTIVES: This study aimed to evaluate the trauma and injury severity score (TRISS), IMPACT (international mission for prognosis and analysis of clinical trials), and CRASH (corticosteroid randomization after significant head injury) prognostic models for prediction of outcome after moderate-to-severe traumatic brain injury (TBI) in the elderly following road traffic accident. DESIGN: This was a prospective observational study. MATERIALS AND METHODS: This was a prospective observational study on 104 elderly trauma patients who were admitted to tertiary care hospital, over a consecutive period of 18 months from December 2016 to May 2018. On the day of admission, data were collected from each patient to compute the TRISS, IMPACT, and CRASH and outcome evaluation was prospectively done at discharge, 14(th) day, and 6-month follow-up. RESULTS: This study included 104 TBI patients with a mean age of 66.75 years and with a mortality rate of 32% and 45%, respectively, at discharge and at the end of 6 months. The predictive accuracies of the TRISS, CRASH (computed tomography), and IMPACT (core, extended, laboratory) were calculated using receiver operator characteristic (ROC) curves for the prediction of mortality. Best cutoff point for predicting mortality in elderly TBI patients using TRISS system was a score of ≤88 (sensitivity 94%, specificity of 80%, and area under ROC curve 0.95), similarly cutoff point under the CRASH at 14 days was score of >35 (100%, 80%, 0.958); for CRASH at 6 months, best cutoff point was at >84 (88%, 88%, 0.959); for IMPACT (core), it was >38 (88%, 93%, 0.976); for IMPACT (extended), it was >27 (91%, 89%, 0.968); and for IMPACT (lab), it was >41 (82%, 100%, 0.954). There were statistical differences among TRISS, CRASH (at 14 days and 6 months), and IMPACT (core, extended, lab) in terms of area under the ROC curve (P < 0.0001). CONCLUSION: IMPACT (core, extended) models were the strongest predictors of mortality in moderate-to-severe TBI when compared with the TRISS, CRASH, and IMPACT (lab) models. Wolters Kluwer - Medknow 2021-09-14 /pmc/articles/PMC8477815/ /pubmed/34660360 http://dx.doi.org/10.4103/ajns.AJNS_512_20 Text en Copyright: © 2021 Asian Journal of Neurosurgery https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Moorthy, Dhoni Ganesh Siva Rama Krishna
Rajesh, Krishnappa
Priya, Sarathy Manju
Abhinov, Thaminaina
Devendra Prasad, Kalavagunta Jyothiswarapillai
Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title_full Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title_fullStr Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title_full_unstemmed Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title_short Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly
title_sort prediction of outcome based on trauma and injury severity score, impact and crash prognostic models in moderate-to-severe traumatic brain injury in the elderly
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477815/
https://www.ncbi.nlm.nih.gov/pubmed/34660360
http://dx.doi.org/10.4103/ajns.AJNS_512_20
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