天津医药 ›› 2026, Vol. 54 ›› Issue (10): 1071-1074.doi: 10.11958/20252826

• 临床研究 • 上一篇    下一篇

年龄调整后的BIG评分对创伤性颅脑损伤患者院内死亡的预测价值

吴勇1(), 梅程清1, 刘尚香1, 袁婷2,△()   

  1. 1 南京江北医院重症医学科 (邮编 210048)
    2 南京江北医院神经内科 (邮编 210048)
  • 收稿日期:2025-12-20 修回日期:2026-05-22 出版日期:2026-10-15 发布日期:2026-10-10
  • 通讯作者: △E-mail:382204680@qq.com
  • 作者简介:吴勇(1990),男,主治医师,主要从事神经重症方面研究。E-mail:1214036465@qq.com
  • 基金资助:
    南京市卫生科技发展专项资金项目(YKK18239)

Predictive value of age-adjusted BIG score for in-hospital mortality in patients with traumatic brain injury

WU Yong1(), MEI Chengqing1, LIU Shangxiang1, YUAN Ting2,△()   

  1. 1 Department of Critical Care Medicine, Nanjing Jiangbei Hospital, Nanjing 210048, China
    2 Department of Neurology, Nanjing Jiangbei Hospital, Nanjing 210048, China
  • Received:2025-12-20 Revised:2026-05-22 Published:2026-10-15 Online:2026-10-10
  • Contact: △E-mail:382204680@qq.com

摘要:

目的 探讨年龄调整后的BIG评分(aaBIG评分)在预测成人创伤性颅脑损伤(TBI)患者院内死亡风险中的应用价值。方法 采用回顾性队列研究设计,收集确诊为TBI的成年患者209例,根据患者院内死亡情况分为生存组和死亡组,比较组间临床指标的差异。通过多因素Logistic回归分析筛选TBI患者院内死亡的影响因素。受试者工作特征(ROC)曲线评估BIG评分、aaBIG评分对TBI患者院内死亡的预测价值。结果 在209例中,48例(23%)患者在院内死亡。死亡组的年龄、呼吸频率(RR)、空腹血糖(FBG)、国际标准化比值(INR)、BIG评分高于生存组(P<0.05);血氧饱和度(SpO2)、格拉斯哥昏迷评分(GCS)、修正创伤评分(RTS)低于生存组(P<0.05)。多因素Logistic回归分析结果显示,年龄增长(OR=1.072,95%CI:1.013~1.133,P=0.015)、SpO2降低(OR=0.626,95%CI:0.455~0.861,P=0.004)、FBG升高(OR=1.593,95%CI:1.049~2.419,P=0.029)、RR增快(OR=1.162,95%CI:1.019~1.327,P=0.025)以及BIG评分升高(OR=1.279,95%CI:1.146~1.428,P<0.001)均为院内死亡的独立影响因素,据此构建aaBIG评分≈0.3×年龄+BIG评分。ROC曲线分析显示,BIG评分预测院内死亡的曲线下面积(AUC)为0.775(95%CI:0.712~0.830),最佳截断值为7.4分;而aaBIG评分预测院内死亡的AUC为0.810(95%CI:0.743~0.876),最佳截断值为29.6分,两者的预测价值相似。结论 aaBIG评分对TBI患者院内死亡具有一定预测价值,但效能较BIG评分无明显提升。

关键词: 颅脑损伤, 医院死亡率, 预测, 年龄调整后的BIG评分

Abstract:

Objective To investigate the predictive value of the age-adjusted BIG score (aaBIG score) in predicting the risk of in-hospital mortality in adult patients with traumatic brain injury (TBI). Methods A retrospective cohort study was conducted, enrolling a total of 209 adult patients diagnosed with TBI. Patients were divided into the survival group and the mortality group based on in-hospital mortality status, and differences in clinical indicators were compared between the two groups. Multivariate Logistic regression analysis was performed to identify risk factors for in-hospital mortality in TBI patients. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of the BIG score and aaBIG score for in-hospital mortality in TBI patients. Results Among the 209 patients, 48 (23%) patients died in hospital. The age, respiratory rate (RR), fasting blood glucose (FBG), international normalised ratio (INR) and BIG score were higher in the mortality group than those of the survival group (P<0.05). The blood oxygen saturation (SpO₂), Glasgow Coma Scale (GCS) and Revised Trauma Score (RTS) were lower in the mortality group than those of the survival group (P<0.05). Multivariate Logistic regression analysis revealed that increasing age (OR=1.072, 95%CI: 1.013-1.133, P=0.015), decreased SpO₂ (OR = 0.626, 95%CI: 0.455-0.861, P = 0.004), elevated FBG (OR = 1.593, 95%CI: 1.049-2.419, P = 0.029), increased RR (OR = 1.162, 95%CI: 1.019-1.327, P = 0.025) and a higher BIG score (OR = 1.279, 95%CI: 1.146-1.428, P<0.001) were all significantly associated with the increased risk of in-hospital mortality. Based on this, the aaBIG score was derived as 0.3×age + BIG score. ROC analysis showed that the AUC for the BIG score in predicting in-hospital mortality was 0.775 (95%CI: 0.712-0.830), with an optimal cut-off value of 7.4 points. The AUC for the aaBIG score in predicting in-hospital mortality was 0.810 (95%CI: 0.743-0.876), with an optimal cut-off of 29.6 points. The predictive value of the two scores was similar. Conclusion The aaBIG score has some predictive value for in-hospital mortality in TBI patients, but its performance does not show a significant improvement over the BIG score.

Key words: craniocerebral trauma, hospital mortality, forecasting, age-adjusted BIG score

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