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中华神经创伤外科电子杂志 ›› 2020, Vol. 06 ›› Issue (02) : 81 -85. doi: 10.3877/cma.j.issn.2095-9141.2020.02.004

所属专题: 专题评论 文献

临床研究

急性神经重症患者7天内进展为脑死亡的预测评分
徐桂兴1, 刘华2, 于萍1, 郑东华3,()   
  1. 1. 510080 广州,中山大学附属第一医院神经外科
    2. 510080 广州,中山大学附属第一医院儿科
    3. 510080 广州,中山大学附属第一医院重症医学科
  • 收稿日期:2020-01-16 出版日期:2020-04-15
  • 通信作者: 郑东华
  • 基金资助:
    广东省医学科研基金(A2019118)

Predictive score for progression to brain death within 7 d in acute neurocritical patients

Guixing Xu1, Hua Liu2, Ping Yu1, Donghua Zheng3,()   

  1. 1. Department of Neurosurgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
    2. Department of Pediatric, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
    3. Department of Critical Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
  • Received:2020-01-16 Published:2020-04-15
  • Corresponding author: Donghua Zheng
  • About author:
    Corresponding author: Zheng Donghua, Email:
引用本文:

徐桂兴, 刘华, 于萍, 郑东华. 急性神经重症患者7天内进展为脑死亡的预测评分[J]. 中华神经创伤外科电子杂志, 2020, 06(02): 81-85.

Guixing Xu, Hua Liu, Ping Yu, Donghua Zheng. Predictive score for progression to brain death within 7 d in acute neurocritical patients[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2020, 06(02): 81-85.

目的

构建急性神经重症患者在7 d内进展为脑死亡的预测评分,为此类患者的临床决策(姑息治疗或器官捐献)提供指导。

方法

前瞻性纳入中山大学附属第一医院神经外科和重症医学科自2017年5月至2019年4月收治的急性神经重症患者,动态记录评估患者脑损伤的相关参数,依据入院时间将患者分为2组,训练集(2017年5月至2018年4月)和验证集(2018年5月至2019年4月)。在训练集中,以严重脑损伤(GCS<8分)发生后7 d,作为分组因素;通过单因素和多因素分析组间差异,筛选与急性神经重症患者在7 d内进展为脑死亡的相关因素,并进行Cox回归统计分析,构建曲线下面积(AUC);构建神经学预测评分,并在验证集中验证评分效能。

结果

纳入研究的患者231例,其中139例进入训练集,92例进入验证集。在训练集中,经单因素和多因素分析显示:气管插管行机械通气(OR=4.87,95%CI:1.36~17.35)、对光反射消失(OR=4.86,95%CI:1.75~33.92)、咳嗽反射消失(OR=4.43,95%CI:1.97~20.21)和中线结构移位≥5 mm(OR=3.82,95%CI:1.05~12.32)是患者7 d内进展为脑死亡独立危险因素。在验证集中,结果一致。基于相关因素构建的预测评分,其对于7 d内进展为脑死亡预测的AUC值为0.84。进一步对评分进行分层,其中4~6分对7 d内进展为脑死亡的阳性预测率为85.7%,而0~3分对7 d内不进展为脑死亡的阴性预测率为74.3%。

结论

基于脑损伤评估参数构建的神经学评分,可预测急性神经重症患者进展为脑死亡的时间,结果有待外部数据验证。

Objective

To build a predictive score of progression to brain death within 7 d in acute neurocritical patients, which was used to guide clinical decision-making (palliative treatment or organ donation) of such patients.

Methods

From May 2017 to April 2019, acute neurocritical patient admitted in the Department of Neurosurgery and Critical Medicine of the First Affiliated Hospital of Sun Yat-Sen University were prospectively enrolled, the related factor of brain injury in those patients were dynamically record. According to the time of admission, the patients were divided into two parts: training set (from May 2017 to April 2018) and validation set (from May 2018 to April 2019). In the training set, 7 d after the occurrence of severe brain injury (GCS<8) was taken as the grouping factor; the univariate and multivariate analysis were used to screen the factors related to the progression to brain death within 7 d, and the Cox regression was used to build area under curve (AUC) curve; a neurology predictive score was built, and its performance was tested in the validation set.

Results

Two hundred and thirty-one patients were included in the study, 139 patients entered the training set and 92 entered the validation set. In the training set, the univariate and multivariate analysis showed: mechanical ventilation with endotracheal intubation (OR=4.87, 95%CI: 1.36-17.35), light reflex absence (OR=4.86, 95%CI: 1.75-33.92), cough reflex absence (OR=4.43, 95%CI: 1.97-20.21) and midline shift ≥5 mm (OR=3.82, 95%CI: 1.05-12.32) were related with progression to brain death within 7 d. In the validation set, the results are consistent with the training set. A score was built based on those related factors, and the AUC of score was 0.84. Further grading of score, the positive predictive rate (progressing to brain death within 7 d) of 4-6 points was 85.7%, while the negative predictive rate (not progressing to brain death) of 0-3 points was 74.3%.

Conclusion

The neurological score based on brain injury assessment can predict the progression to brain death in acute neurocritical patients, but the results need further external validation.

表1 纳入研究患者的一般资料
表2 急性神经重症患者7 d内进展为脑死亡影响因素的单因素分析[例(%)]
表3 急性神经重症患者7 d内进展为脑死亡影响因素的多因素分析[例(%)]
表4 神经学预测评分
图1 基于脑损伤评估参数构建的神经学评分的曲线下面积
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