Sheng Jiangtao, Chen Weiqiang, Zhuang Dongzhou, Li Tian, Yang Jinhua, Cai Shirong, Chen Xiaoxuan, Liu Xueer, Tian Fei, Huang Mindong, Li Lianjie, Li Kangsheng
Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, China.
Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China.
Neurol Ther. 2022 Mar;11(1):185-203. doi: 10.1007/s40120-021-00306-8. Epub 2021 Dec 2.
Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed.
A multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated.
A total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion.
The main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion.
急性创伤性脑实质内血肿(tICH)扩大是脑挫伤后临床病情恶化的主要原因。在此,我们提出了一种用于急性tICH扩大的准确预测工具。
在有用于tICH体积评估的初始和随访计算机断层扫描(CT)成像的患者中(开发数据集中有889例患者,外部验证数据集中有264例个体)进行了一项基于多中心医院的多变量预测模型研究。采用半自动软件评估tICH扩大情况。开发并外部验证了两个用于急性tICH扩大的多变量预测模型。
共有198例(22.27%)个体出现显著的急性tICH扩大。新型创伤性脑实质血肿扩大辅助(TPHEA)模型保留了几个变量,包括年龄、凝血功能障碍、基线tICH体积、至基线CT时间、硬膜下出血、多血肿模糊征这一新型影像标志物以及单核细胞与淋巴细胞比值的炎症指数。与多血肿模糊征、单核细胞与淋巴细胞比值及基础模型相比,TPHEA模型对急性tICH扩大患者表现出最佳的辨别力、校准度和临床净效益。随后从该模型引入了TPHEA列线图以促进临床应用。在一个外部数据集中,该工具对急性tICH扩大显示出良好的预测性能。
TPHEA列线图中的主要预测因素是单核细胞与淋巴细胞比值、基线tICH体积和多血肿模糊征。这个用户友好的工具可以估计急性tICH扩大情况,并为脑挫伤患者优化个性化治疗。