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Controlling nutritional status (CONUT) score is a predictive marker for patients with traumatic brain injury
Clinical Neurology and Neurosurgery ( IF 1.8 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.clineuro.2020.105909
Ruoran Wang 1 , Min He 1 , Yan Kang 1 , Xu Jianguo 2
Affiliation  

OBJECT We designed this study to evaluate whether controlling nutritional status (CONUT) score was valuable in predicting outcome of patients with traumatic brain injury (TBI). METHODS 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. RESULTS 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. CONCLUSION CONUT score is independently associated with in-hospital mortality and 90-day outcome of patients with TBI.

中文翻译:

控制营养状态(CONUT)评分是创伤性脑损伤患者的预测指标

目的 我们设计本研究以评估控制营养状态 (CONUT) 评分是否对预测创伤性脑损伤 (TBI) 患者的预后有价值。方法回顾性收集我院2015年1月至2018年1月收治的TBI患者的临床和实验室资料。我们分别根据住院和 90 天的结果将患者分为两组,并比较了两组的基线特征。进行多变量分析以评估 CONUT 评分是否与纳入患者的结果相关。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。结果 我们的研究共包括 365 名患者。多变量逻辑回归分析显示,CONUT 评分与院内死亡率(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)独立相关, p < 0.001)。ROC 曲线显示,用于预测院内死亡率和 90 天结局的 CONUT 评分的 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),分别。结论 CONUT 评分与 TBI 患者的住院死亡率和 90 天结局独立相关。ROC 曲线显示,用于预测院内死亡率和 90 天结局的 CONUT 评分的 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),分别。结论 CONUT 评分与 TBI 患者的住院死亡率和 90 天结局独立相关。ROC 曲线显示,用于预测院内死亡率和 90 天结局的 CONUT 评分的 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),分别。结论 CONUT 评分与 TBI 患者的住院死亡率和 90 天结局独立相关。
更新日期:2020-08-01
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