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一种用于预测急性缺血性卒中血管内血栓切除术后个体发生恶性脑水肿风险的动态列线图。

A dynamic nomogram for predict individual risk of malignant brain edema after endovascular thrombectomy in acute ischemic stroke.

作者信息

Wang Huiyuan, Xu Chenghua, Xiao Yu, Shen Panpan, Guo Shunyuan, Shang Yafei, Chen Xinyi, Xu Jie, Li Chunrong, Tan Mingming, Zhang Sheng, Geng Yu

机构信息

Center for Rehabilitation Medicine, Department of Neurology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.

School of Clinical Medicine, Graduate School, Bengbu Medical College, Bengbu, China.

出版信息

Sci Rep. 2024 Apr 25;14(1):9529. doi: 10.1038/s41598-024-60083-w.

Abstract

The aim of this study was to develop a dynamic nomogram combining clinical and imaging data to predict malignant brain edema (MBE) after endovascular thrombectomy (EVT) in patients with large vessel occlusion stroke (LVOS). We analyzed the data of LVOS patients receiving EVT at our center from October 2018 to February 2023, and divided a 7:3 ratio into the training cohort and internal validation cohort, and we also prospectively collected patients from another stroke center for external validation. MBE was defined as a midline shift or pineal gland shift > 5 mm, as determined by computed tomography (CT) scans obtained within 7 days after EVT. A nomogram was constructed using logistic regression analysis, and its receiver operating characteristic curve (ROC) and calibration were assessed in three cohorts. A total of 432 patients were enrolled in this study, with 247 in the training cohort, 100 in the internal validation cohort, and 85 in the external validation cohort. MBE occurred in 24% (59) in the training cohort, 16% (16) in the internal validation cohort and 14% (12) in the external validation cohort. After adjusting for various confounding factors, we constructed a nomogram including the clot burden score (CBS), baseline neutrophil count, core infarct volume on CTP before EVT, collateral index, and the number of retrieval attempts. The AUCs of the training cohorts were 0.891 (95% CI 0.840-0.942), the Hosmer-Lemeshow test showed good calibration of the nomogram (P = 0.879). And our nomogram performed well in both internal and external validation data. Our nomogram demonstrates promising potential in identifying patients at elevated risk of MBE following EVT for LVOS.

摘要

本研究的目的是开发一种结合临床和影像数据的动态列线图,以预测大血管闭塞性卒中(LVOS)患者血管内血栓切除术(EVT)后发生恶性脑水肿(MBE)的情况。我们分析了2018年10月至2023年2月在本中心接受EVT的LVOS患者的数据,并按7:3的比例将其分为训练队列和内部验证队列,我们还前瞻性地收集了另一个卒中中心的患者进行外部验证。MBE定义为在EVT后7天内通过计算机断层扫描(CT)确定的中线移位或松果体移位>5毫米。使用逻辑回归分析构建列线图,并在三个队列中评估其受试者操作特征曲线(ROC)和校准情况。本研究共纳入432例患者,其中训练队列247例,内部验证队列100例,外部验证队列85例。训练队列中MBE的发生率为24%(59例),内部验证队列中为16%(16例),外部验证队列中为14%(12例)。在调整各种混杂因素后,我们构建了一个列线图,包括血栓负荷评分(CBS)、基线中性粒细胞计数、EVT前CTP上的核心梗死体积、侧支指数和取栓尝试次数。训练队列的AUC为0.891(95%CI 0.840-0.942),Hosmer-Lemeshow检验显示列线图校准良好(P = 0.879)。我们的列线图在内部和外部验证数据中均表现良好。我们的列线图在识别LVOS患者接受EVT后发生MBE风险升高的患者方面显示出有前景性的潜力。

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