Wang Ruoran, He Min, Kang Yan, Jianguo Xu
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
Clin Neurol Neurosurg. 2020 Aug;195:105909. doi: 10.1016/j.clineuro.2020.105909. Epub 2020 May 15.
We designed this study to evaluate whether controlling nutritional status (CONUT) score was valuable in predicting outcome of patients with traumatic brain injury (TBI).
Clinical and laboratory data of patients admitted with TBI in our hospital between January 2015 and January 2018 was retrospectively collected. We divided patients into two groups according to in-hospital and 90-day outcome respectively and compared baseline characteristics of two groups. Multivariate analyses were conducted to evaluate whether CONUT score was associated with outcome of included patients. Receiver operating characteristics (ROC) curves were drawn to compare the predictive value of CONUT score and constructed models.
A total of 365 patients were included in our study. Multivariate logistic regression analyses showed that CONUT score was independently associated with in-hospital mortality (OR = 1.244, 95% CI: 1.099-1.408, p = 0.001) and 90-day outcome (OR = 1.441, 95% CI: 1.193-1.741, p < 0.001). ROC curve showed that area under the ROC curve (AUC) of CONUT score for predicting in-hospital mortality and 90-day outcome were 0.790 (95% CI: 0.745-0.836, p < 0.001) and 0.839 (95% CI: 0.792-0.886, p < 0.001), respectively.
CONUT score is independently associated with in-hospital mortality and 90-day outcome of patients with TBI.
我们开展本研究以评估控制营养状态(CONUT)评分在预测创伤性脑损伤(TBI)患者预后方面是否有价值。
回顾性收集2015年1月至2018年1月我院收治的TBI患者的临床和实验室数据。我们分别根据住院结局和90天结局将患者分为两组,并比较两组的基线特征。进行多因素分析以评估CONUT评分是否与纳入患者的结局相关。绘制受试者工作特征(ROC)曲线以比较CONUT评分和构建模型的预测价值。
本研究共纳入365例患者。多因素逻辑回归分析显示,CONUT评分与住院死亡率(OR = 1.244,95%CI:1.099 - 1.408,p = 0.001)和90天结局(OR = 1.441,95%CI:1.193 - 1.741,p < 0.001)独立相关。ROC曲线显示,CONUT评分预测住院死亡率和90天结局的ROC曲线下面积(AUC)分别为0.790(95%CI:0.745 - 0.836,p < 0.001)和0.839(95%CI:0.792 - 0.886,p < 0.001)。
CONUT评分与TBI患者的住院死亡率和90天结局独立相关。