Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui Province, China
Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui Province, China.
J Neurointerv Surg. 2023 Nov;15(e2):e190-e197. doi: 10.1136/jnis-2022-019404. Epub 2022 Oct 7.
To develop and validate a novel tool for predicting the development of malignant brain edema (MBE) in large vessel occlusion stroke patients after endovascular thrombectomy (EVT).
We used a prospectively registered population of EVT patients from three comprehensive stroke centers. The population was randomly divided into two subsets (7:3): a training cohort and an internal validation cohort. External validation was performed using the Endovascular Treatment for Acute Anterior Circulation Ischemic Stroke Registry in China (ACTUAL) database. MBE was defined as (1) hypodense parenchyma in at least 50% of the middle cerebral artery and signs of local brain swelling, and (2) a midline shift of ≥5 mm at the septum pellucidum or pineal gland with obliteration of the basal cisterns. The model was constructed using logistic regression analysis. The performance of the model was examined in terms of discrimination and calibration.
After adjusting for other confounders, baseline National Institutes of Health Stroke Scale (NIHSS) and Alberta Stroke Program Early CT (ASPECT) scores, a clinical history of hypertension, collateral status, intravenous thrombolysis before thrombectomy, fasting blood glucose, reperfusion status, and occlusion site were found to be independent predictors of MBE. These variables were combined to create the ACORNS grading scale. The areas under the curve in receiver operating curve analysis were 0.850 (95% CI 0.816 to 0.884), 0.874 (95% CI 0.821 to 0.926), and 0.785 (95% CI 0.740 to 0.829) for the training, internal validation, and external validation cohorts, respectively, indicating good discriminative performance in the validation cohorts.
The ACORNS grading scale is an accurate and easily applicable model for the prediction of the development of MBE after EVT.
开发并验证一种新工具,用于预测血管内血栓切除术(EVT)后大血管闭塞性卒中患者恶性脑水肿(MBE)的发展。
我们使用了来自三个综合卒中中心的前瞻性注册 EVT 患者人群。该人群被随机分为两个子集(7:3):训练队列和内部验证队列。外部验证使用了中国急性前循环缺血性卒中血管内治疗登记研究(ACTUAL)数据库。MBE 定义为(1)大脑中动脉至少 50%的低密度实质和局部脑肿胀征象,以及(2)透明隔或松果体的中线移位≥5mm 伴有基底池闭塞。使用逻辑回归分析构建模型。通过判别和校准来检验模型的性能。
在调整其他混杂因素后,基线国立卫生研究院卒中量表(NIHSS)和阿尔伯塔卒中项目早期 CT(ASPECT)评分、高血压的临床病史、侧支状态、血栓切除术前静脉溶栓、空腹血糖、再灌注状态和闭塞部位被确定为 MBE 的独立预测因素。这些变量被组合在一起,形成了 ACORNS 分级量表。在接收者操作曲线分析中,曲线下面积分别为 0.850(95%置信区间 0.816 至 0.884)、0.874(95%置信区间 0.821 至 0.926)和 0.785(95%置信区间 0.740 至 0.829),表明在验证队列中具有良好的判别性能。
ACORNS 分级量表是一种准确且易于应用的 EVT 后 MBE 发展预测模型。