预测急性脑出血血肿扩张的风险:GIVE评分。

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY BMC Neurology Pub Date : 2025-01-15 DOI:10.1186/s12883-025-04026-6
Tian-Nan Yang, Xin-Ni Lv, Zi-Jie Wang, Xiao Hu, Li-Bo Zhao, Jing Cheng, Qi Li
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引用次数: 0

摘要

背景:许多非对比计算机断层扫描(NCCT)标记物已被报道并证实是血肿扩张(HE)的有效预测因子。我们的目的是开发和验证基于NCCT标记物和临床特征的评分,以预测急性脑出血(ICH)患者HE的风险。方法:前瞻性收集重庆医科大学第一附属医院自发性脑出血患者形成发展队列(n = 395),重庆医科大学第三附属医院建立验证队列(n = 139)。我们采用了修订后的HE定义,纳入了HE的标准定义(> 6ml或> 33%)和脑室内出血(IVH)扩张(任何新的IVH或IVH扩张≥1ml)。预测评分是根据多变量逻辑回归分析得出的参数估计制定的。结果:格拉斯哥昏迷评分,岛,脑室出血和时间从发病到NCCT扫描(给)成立的总个人分(6)基于格拉斯哥昏迷评分(≤2分11),岛标志(1点)存在,脑室出血(1点)存在,并从发病NCCT扫描时间为≤2.5 h(2分)。c统计是0.72(95%可信区间[CI], 0.66 - -0.78)和0.73 (95% CI, 0.63 - -0.82)的开发和验证组,分别。结论:已经开发并验证了一种6分评分算法来评估脑出血患者的HE风险。这个评分系统有助于快速和准确地识别高风险HE患者。
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Predicting the risk of hematoma expansion in acute intracerebral hemorrhage: the GIVE score.

Background: Numerous noncontrast computed tomography (NCCT) markers have been reported and validated as effective predictors of hematoma expansion (HE). Our objective was to develop and validate a score based on NCCT markers and clinical characteristics to predict risk of HE in acute intracerebral hemorrhage (ICH) patients.

Methods: We prospectively collected spontaneous ICH patients at the First Affiliated Hospital of Chongqing Medical University to form the development cohort (n = 395) and at the Third Affiliated Hospital of Chongqing Medical University to establish the validation cohort (n = 139). We adopted a revised HE definition, incorporating the standard definition of HE (> 6 mL or > 33%) and intraventricular hemorrhage (IVH) expansion (any new IVH or IVH expansion ≥ 1 ml). The predictive score was formulated based on the parameter estimates derived from the multivariable logistic regression analysis.

Result: The Glasgow Coma Scale, island sign, ventricular hemorrhage and time elapsed from onset to NCCT scan (GIVE) score was created as a total of individual points (0-6) based on Glasgow Coma Scale (2 points for ≤ 11), island sign (1 point for presence), ventricular hemorrhage (1 point for presence), and time elapsed from onset to NCCT scan (2 points for ≤ 2.5 h). The c statistic was 0.72(95% confidence interval [CI], 0.66-0.78) and 0.73(95% CI, 0.63-0.82) in the development and validation cohorts, respectively.

Conclusion: A six-point scoring algorithm has been developed and validated to assess the risk of HE in patients with ICH. This scoring system facilitates the rapid and accurate identification of patients at increased risk for HE.

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来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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