Neurology, university hospital, 37, quai de la Prevalaye, 35000 Rennes, France.
Neurology, university hospital, Rennes, France.
Rev Neurol (Paris). 2020 Sep;176(7-8):619-625. doi: 10.1016/j.neurol.2020.01.352. Epub 2020 Jul 2.
Several predictors have been described to early diagnose malignant middle cerebral artery infarction (MMI) and select patient for hemicraniectomy. Nevertheless, few studies have assessed them among patients with acute ischemic stroke undergoing mechanical endovascular thrombectomy (MET). The overall objective in this study was to evaluate these predictors in patients undergoing MET in the purpose to guide the medical care in the acute phase.
We selected patients from a prospective local database which reference all patients eligible for treatment with Alteplase thrombolysis and/or mechanical endovascular thrombectomy in acute stroke. We investigated demographic, clinical, and radiological data. Multivariate regression analysis was used to identify clinical and imaging predictors of MMI.
In 32 months, 66 patients were included. Eighteen (27.3%) developed MMI. Malignant evolution was associated with: severity of neurological deficit and level of consciousness at admission, infarct size in DWI sequence and involvement of other vascular territories. Study groups didn't differ in terms of successful reperfusion. Two variables were identified as independent predictors of MMI: DWI infarct volume (p<0.001) and time to thrombectomy (p=0.018). A decision tree based on these two factors was able to predict malignant evolution with high specificity (100%) and sensibility (73%).
Our study proposes a practical decision tree including DWI lesion volume and delay before thrombectomy to early and accurately predict MMI in a subgroup of patients with MCA infarction undergoing MET regardless to the status of reperfusion.
已有多种预测因子被描述用于早期诊断恶性大脑中动脉梗死(MMI)并选择进行开颅减压手术的患者。然而,很少有研究评估这些预测因子在接受机械性血管内血栓切除术(MET)的急性缺血性脑卒中患者中的作用。本研究的总体目标是评估这些预测因子在接受 MET 的患者中的作用,以指导急性期的医疗护理。
我们从一个前瞻性的本地数据库中选择患者,该数据库参考了所有符合接受阿替普酶溶栓和/或机械性血管内血栓切除术治疗的急性脑卒中患者。我们调查了人口统计学、临床和影像学数据。采用多变量回归分析来确定 MMI 的临床和影像学预测因子。
在 32 个月的时间里,共纳入 66 名患者。其中 18 名(27.3%)患者发生 MMI。恶性演变与以下因素相关:入院时的神经功能缺损和意识水平严重程度、DWI 序列中的梗死面积和其他血管区域的受累。两组在成功再灌注方面无差异。两个变量被确定为 MMI 的独立预测因子:DWI 梗死体积(p<0.001)和取栓时间(p=0.018)。基于这两个因素的决策树能够以高特异性(100%)和敏感性(73%)预测恶性演变。
我们的研究提出了一个实用的决策树,包括 DWI 病变体积和取栓前的延迟,以在接受 MET 的 MCA 梗死亚组患者中早期、准确地预测 MMI,而与再灌注状态无关。