CC BY-NC-ND 4.0 · Asian J Neurosurg 2021; 16(03): 500-506
DOI: 10.4103/ajns.AJNS_512_20
Original Article

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

Dhoni Moorthy
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka
,
Krishnappa Rajesh
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka
,
Sarathy Priya
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka
,
Thaminaina Abhinov
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka
,
Kalavagunta Devendra Prasad
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka
› Author Affiliations

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, 14th 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.

Financial support and sponsorship

Nil.




Publication History

Received: 27 November 2020

Accepted: 22 January 2021

Article published online:
16 August 2022

© 2021. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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