Department of Radiology & Nuclear Medicine, Rijnstate Hospital, Arnhem, The Netherlands.
Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Int J Stroke. 2022 Feb;17(2):198-206. doi: 10.1177/17474930211006290. Epub 2021 Apr 9.
Early prediction of malignant infarction may guide treatment decisions. For patients who received endovascular treatment, the risk of malignant infarction is unknown and risk factors are unrevealed.
The objective of this study is to estimate the incidence of malignant infarction after endovascular treatment in patients with an occlusion of the anterior circulation, to identify independent risk factors, and to establish a model for prediction.
We analyzed patients who received endovascular treatment for a large vessel occlusion in the anterior circulation within 6.5 h after symptom onset, included in the Dutch MR CLEAN Registry between March 2014 and June 2016. We compared patients with and without malignant infarction. Candidate predictors were incorporated in a multivariable binary logistic regression model. The final prediction model was established using backward elimination. Discrimination and calibration were evaluated with the area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow test.
Of 1445 patients, 82 (6%) developed malignant infarction. Independent predictors were lower age, higher National Institutes of Health Stroke Scale (NIHSS), lower alberta stroke program early CT score (ASPECTS), internal carotid artery occlusion, lower collateral score, longer times from onset to groin puncture, and unsuccessful reperfusion. The AUROC of a prediction model combining these features was 0.83 (95% confidence interval (CI): 0.79-0.88) and the Hosmer-Lemeshow test indicated appropriate calibration (P = 0.937).
The risk of malignant infarction after endovascular treatment started within 6.5 h of stroke onset is approximately 6%. Successful reperfusion decreases the risk. A prediction model combining easily retrievable measures of age, ASPECTS, collateral status, and reperfusion shows good discrimination between patients who will develop malignant infarction and those who will not.
早期预测恶性梗死有助于指导治疗决策。对于接受血管内治疗的患者,恶性梗死的风险未知,且其危险因素尚未揭示。
本研究旨在评估血管内治疗后前循环闭塞患者恶性梗死的发生率,确定独立的危险因素,并建立预测模型。
我们分析了 2014 年 3 月至 2016 年 6 月期间荷兰 MR CLEAN 登记处中发病 6.5 小时内接受血管内治疗的前循环大血管闭塞患者。我们比较了发生恶性梗死与未发生恶性梗死的患者。将候选预测因子纳入多变量二项逻辑回归模型。使用向后消除法建立最终预测模型。采用接受者操作特征曲线(AUROC)下面积和 Hosmer-Lemeshow 检验评估区分度和校准度。
在 1445 例患者中,82 例(6%)发生恶性梗死。独立预测因子包括年龄较小、美国国立卫生研究院卒中量表(NIHSS)评分较高、 Alberta 卒中项目早期 CT 评分(ASPECTS)较低、颈内动脉闭塞、侧支循环评分较低、从发病到股动脉穿刺的时间较长,以及再通失败。结合这些特征的预测模型的 AUROC 为 0.83(95%置信区间[CI]:0.79-0.88),Hosmer-Lemeshow 检验表明校准适当(P=0.937)。
血管内治疗开始时间在卒中发病后 6.5 小时内的患者发生恶性梗死的风险约为 6%。再通成功降低了风险。结合年龄、ASPECTS、侧支循环状态和再通等易获取的措施的预测模型在区分将发生恶性梗死的患者与不会发生恶性梗死的患者方面具有良好的区分度。