Moorthy Dhoni Ganesh Siva Rama Krishna, Rajesh Krishnappa, Priya Sarathy Manju, Abhinov Thaminaina, Devendra Prasad Kalavagunta Jyothiswarapillai
Department of Emergency Medicine, Sri Devraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India.
Asian J Neurosurg. 2021 Sep 14;16(3):500-506. doi: 10.4103/ajns.AJNS_512_20. eCollection 2021 Jul-Sep.
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.
This was a prospective observational study.
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 day, and 6-month follow-up.
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 ( < 0.0001).
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.
本研究旨在评估创伤和损伤严重程度评分(TRISS)、IMPACT(国际临床试验预后与分析任务组)和CRASH(重度颅脑损伤后皮质类固醇随机分组)预测模型,以预测老年患者在道路交通事故后中重度创伤性脑损伤(TBI)的预后。
这是一项前瞻性观察性研究。
这是一项对104例老年创伤患者的前瞻性观察性研究,这些患者于2016年12月至2018年5月连续18个月入住三级护理医院。入院当天,收集每位患者的数据以计算TRISS、IMPACT和CRASH,并在出院时、14天和6个月随访时进行前瞻性预后评估。
本研究纳入104例TBI患者,平均年龄66.75岁,出院时和6个月末的死亡率分别为32%和45%。使用受试者工作特征(ROC)曲线计算TRISS、CRASH(计算机断层扫描)和IMPACT(核心、扩展、实验室)预测死亡率的预测准确性。使用TRISS系统预测老年TBI患者死亡率的最佳截断点为≤88分(敏感性94%,特异性80%,ROC曲线下面积0.95),同样,CRASH在14天时的截断点为>35分(100%,80%,0.958);CRASH在6个月时,最佳截断点为>84分(88%,88%,0.959);IMPACT(核心)为>38分(88%,93%,0.976);IMPACT(扩展)为>27分(91%,89%,0.968);IMPACT(实验室)为>41分(82%,100%,0.954)。TRISS、CRASH(14天和6个月时)以及IMPACT(核心、扩展、实验室)在ROC曲线下面积方面存在统计学差异(<0.0001)。
与TRISS、CRASH和IMPACT(实验室)模型相比,IMPACT(核心、扩展)模型是中重度TBI死亡率的最强预测指标。