Yuksen Chaiyaporn, Sittichanbuncha Yuwares, Patumanond Jayanton, Muengtaweepongsa Sombat, Sawanyawisuth Kittisak
Department of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok.
Clinical Epidemiology Unit and Clinical Research Center, Faculty of Medicine, Thammasat University, Pathum Thani.
Ther Clin Risk Manag. 2018 Feb 1;14:213-218. doi: 10.2147/TCRM.S147079. eCollection 2018.
Mild traumatic brain injury (TBI) is a common condition at the Emergency Medicine Department. Head computer tomography (CT) scans in mild TBI patients must be properly justified in order to avoid unnecessary exposure to X-rays and to reduce the hospital/transfer costs. This study aimed to evaluate which clinical factors are associated with intracranial hemorrhage in Asian population and to develop a user-friendly predictive model.
The study was conducted retrospectively at the Emergency Medicine Department in Ramathibodi Hospital, a university-affiliated super tertiary care hospital in Bangkok, Thailand. The study period was between September 2013 and August 2016. The inclusion criteria were age >15 years and having received a head CT scan after presenting with mild TBI. Those patients with mild TBI and no symptoms/deterioration after 24 h of clinical observation were excluded. The predictive model and prediction score for intracranial hemorrhage was developed by multivariate logistic regression analysis.
During the study period, there were 708 patients who met the study criteria. Of those, 100 patients (14.12%) had positive head CT scan results. There were seven independent factors that were predictive of intracranial hemorrhage. The clinical risk scores to predict intracranial hemorrhage are developed with an accuracy of 92%. The score of >3 had the likelihood of intracranial hemorrhage by 1.47 times.
Clinical predictive score of >3 was associated with intracranial hemorrhage in mild TBI.
轻度创伤性脑损伤(TBI)是急诊科的常见病症。轻度TBI患者的头部计算机断层扫描(CT)必须有合理的理由,以避免不必要的X射线暴露,并降低医院/转运成本。本研究旨在评估亚洲人群中哪些临床因素与颅内出血相关,并开发一种用户友好的预测模型。
本研究在泰国曼谷一家大学附属的超级三级护理医院拉玛蒂博迪医院急诊科进行回顾性研究。研究期间为2013年9月至2016年8月。纳入标准为年龄>15岁且在出现轻度TBI后接受了头部CT扫描。那些轻度TBI且临床观察24小时后无症状/病情未恶化的患者被排除。通过多变量逻辑回归分析建立颅内出血的预测模型和预测评分。
在研究期间,有708名患者符合研究标准。其中,100名患者(14.12%)头部CT扫描结果为阳性。有七个独立因素可预测颅内出血。预测颅内出血的临床风险评分的准确率为92%。评分>3时颅内出血的可能性为1.47倍。
轻度TBI中临床预测评分>3与颅内出血相关。