Universidade Federal de Santa Catarina, Centro de Neurociências Aplicadas, Florianópolis SC, Brazil.
Clínica Neuron, Florianópolis SC, Brazil.
Arq Neuropsiquiatr. 2023 May;81(5):452-459. doi: 10.1055/s-0043-1768671. Epub 2023 May 31.
Pupil reactivity and the Glasgow Coma Scale (GCS) score are the most clinically relevant information to predict the survival of traumatic brain injury (TBI) patients.
We evaluated the accuracy of the GCS-Pupil score (GCS-P) as a prognostic index to predict hospital mortality in Brazilian patients with severe TBI and compare it with a model combining GCS and pupil response with additional clinical and radiological prognostic factors.
Data from 1,066 patients with severe TBI from 5 prospective studies were analyzed. We determined the association between hospital mortality and the combination of GCS, pupil reactivity, age, glucose levels, cranial computed tomography (CT), or the GCS-P score by multivariate binary logistic regression.
Eighty-five percent ( = 908) of patients were men. The mean age was 35 years old, and the overall hospital mortality was 32.8%. The area under the receiver operating characteristic curve (AUROC) was 0.73 (0.70-0.77) for the model using the GCS-P score and 0.80 (0.77-0.83) for the model including clinical and radiological variables. The GCS-P score showed similar accuracy in predicting the mortality reported for the patients with severe TBI derived from the International Mission for Prognosis and Clinical Trials in TBI (IMPACT) and the Corticosteroid Randomization After Significant Head Injury (CRASH) studies.
Our results support the external validation of the GCS-P to predict hospital mortality following a severe TBI. The predictive value of the GCS-P for long-term mortality, functional, and neuropsychiatric outcomes in Brazilian patients with mild, moderate, and severe TBI deserves further investigation.
瞳孔反应和格拉斯哥昏迷评分(GCS)是预测创伤性脑损伤(TBI)患者生存的最具临床相关性的信息。
我们评估了 GCS-瞳孔评分(GCS-P)作为预测巴西严重 TBI 患者院内死亡率的预后指标的准确性,并将其与结合 GCS 和瞳孔反应的模型进行比较,该模型还结合了其他临床和影像学预后因素。
对 5 项前瞻性研究中 1066 例严重 TBI 患者的数据进行了分析。我们通过多变量二元逻辑回归确定了医院死亡率与 GCS、瞳孔反应、年龄、血糖水平、头颅计算机断层扫描(CT)或 GCS-P 评分组合之间的关联。
85%( = 908)的患者为男性。平均年龄为 35 岁,总住院死亡率为 32.8%。使用 GCS-P 评分的模型的受试者工作特征曲线下面积(AUROC)为 0.73(0.70-0.77),而包括临床和影像学变量的模型为 0.80(0.77-0.83)。GCS-P 评分在预测来自国际创伤预后和临床试验(IMPACT)和皮质类固醇随机化后严重头部损伤(CRASH)研究的严重 TBI 患者死亡率方面具有相似的准确性。
我们的结果支持 GCS-P 用于预测严重 TBI 后院内死亡率的外部验证。GCS-P 对巴西轻度、中度和重度 TBI 患者长期死亡率、功能和神经精神结局的预测价值值得进一步研究。