Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom.
J Neurotrauma. 2020 Apr 1;37(7):1002-1010. doi: 10.1089/neu.2019.6764. Epub 2019 Dec 5.
Traumatic brain injury (TBI) is currently classified as mild, moderate, or severe TBI by trichotomizing the Glasgow Coma Scale (GCS). We aimed to explore directions for a more refined multidimensional classification system. For that purpose, we performed a hypothesis-free cluster analysis in the Collaborative European NeuroTrauma Effectiveness Research for TBI (CENTER-TBI) database: a European all-severity TBI cohort ( = 4509). The first building block consisted of key imaging characteristics, summarized using principal component analysis from 12 imaging characteristics. The other building blocks were demographics, clinical severity, secondary insults, and cause of injury. With these building blocks, the patients were clustered into four groups. We applied bootstrap resampling with replacement to study the stability of cluster allocation. The characteristics that predominantly defined the clusters were injury cause, major extracranial injury, and GCS. The clusters consisted of 1451, 1534, 1006, and 518 patients, respectively. The clustering method was quite stable: the proportion of patients staying in one cluster after resampling and reclustering was 97.4% (95% confidence interval [CI]: 85.6-99.9%). These clusters characterized groups of patients with different functional outcomes: from mild to severe, 12%, 19%, 36%, and 58% of patients had unfavorable 6 month outcome. Compared with the mild and the upper intermediate cluster, the lower intermediate and the severe cluster received more key interventions. To conclude, four types of TBI patients may be defined by injury mechanism, presence of major extracranial injury and GCS. Describing patients according to these three characteristics could potentially capture differences in etiology and care pathways better than with GCS only.
创伤性脑损伤(TBI)目前通过将格拉斯哥昏迷量表(GCS)三分法来分类为轻度、中度或重度 TBI。我们旨在探索更精细的多维分类系统的方向。为此,我们在协作性欧洲神经创伤效应研究 TBI(CENTER-TBI)数据库中进行了无假设聚类分析:一个欧洲所有严重程度 TBI 队列(n=4509)。第一个构建块由关键成像特征组成,使用来自 12 个成像特征的主成分分析进行总结。其他构建块是人口统计学、临床严重程度、继发性损伤和损伤原因。使用这些构建块,将患者聚类为四个组。我们应用带替换的自举重采样来研究聚类分配的稳定性。主要定义聚类的特征是损伤原因、主要颅外损伤和 GCS。聚类由 1451、1534、1006 和 518 名患者组成。聚类方法非常稳定:重新采样和重新聚类后留在一个聚类中的患者比例为 97.4%(95%置信区间[CI]:85.6-99.9%)。这些聚类描述了具有不同功能结局的患者群体:从轻度到重度,12%、19%、36%和 58%的患者 6 个月结局不良。与轻度和中上聚类相比,中下聚类和重度聚类接受了更多关键干预。总之,可能通过损伤机制、存在主要颅外损伤和 GCS 来定义四种类型的 TBI 患者。根据这三个特征描述患者可能比仅使用 GCS 更好地捕捉病因和护理途径的差异。