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基于MRI的静脉溶栓治疗卒中患者出血性转化的预测因素

MRI-Based Predictors of Hemorrhagic Transformation in Patients With Stroke Treated by Intravenous Thrombolysis.

作者信息

El Nawar Rody, Yeung Jennifer, Labreuche Julien, Chadenat Marie-Laure, Duong Duc Long, De Malherbe Maxime, Cordoliani Yves-Sebastien, Lapergue Bertrand, Pico Fernando

机构信息

Department of Neurology and Stroke Center, Hopital Mignot, Centre Hospitalier de Versailles, Versailles, France.

Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University Medical Center, Beirut, Lebanon.

出版信息

Front Neurol. 2019 Aug 27;10:897. doi: 10.3389/fneur.2019.00897. eCollection 2019.

Abstract

Clinical and biological risk factors for hemorrhagic transformation (HT) after intravenous thrombolysis (IT) have been well-established in several registries. The added value of magnetic resonance imaging (MRI) variables has been studied in small samples, and is controversial. We aimed to assess the added value of MRI variables in HT, beyond that of clinical and biological factors. We enrolled 474 consecutive patients with brain infarction treated by IT alone at our primary stroke center between January 2011 and August 2017. Baseline demographic, clinical, biological, and imaging characteristics were collected. MRI variables were: brain infarction volume in cm; parenchymal fluid attenuated inversion recovery (FLAIR) hyperintensity; FLAIR hyperintense vessel signs; number of microbleeds; subcortical white matter hyperintensity; and thrombus length. Overall, 301 patients were included out of 474 (64%). The main causes of exclusion were combined thrombectomy ( = 98) and no MRI before IT ( = 44). In the bivariate analysis, HT was significantly associated with the presence of more FLAIR hyperintense vessel signs, thrombus length (>8 mm), and larger brain infarction volume (diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) < 500 × 10 mm/s). In the multivariable analysis, only brain infarction volume was significantly associated with HT. The discrimination value of the multivariable model, including both the DWI volume and the clinical model (area under the receiver operating characteristic curve, 0.80; 95% confidence interval 0.74-0.86), was improved significantly compared with the model based only on clinical variables ( = 0.012). Brain infarction volume on DWI was the only MRI variable that added value to clinico biological variables for predicting HT after IT.

摘要

静脉溶栓(IT)后出血性转化(HT)的临床和生物学危险因素已在多个登记研究中得到充分证实。磁共振成像(MRI)变量的附加价值已在小样本中进行了研究,且存在争议。我们旨在评估MRI变量在HT中的附加价值,超越临床和生物学因素。2011年1月至2017年8月期间,我们在我们的初级卒中中心连续纳入了474例仅接受IT治疗的脑梗死患者。收集了基线人口统计学、临床、生物学和影像学特征。MRI变量包括:以立方厘米为单位的脑梗死体积;脑实质液体衰减反转恢复(FLAIR)高信号;FLAIR高信号血管征;微出血数量;皮质下白质高信号;以及血栓长度。总体而言,474例患者中有301例被纳入(64%)。排除的主要原因是联合血栓切除术(n = 98)和IT前未进行MRI检查(n = 44)。在双变量分析中,HT与更多FLAIR高信号血管征、血栓长度(>8 mm)以及更大的脑梗死体积(扩散加权成像(DWI)和表观扩散系数(ADC)<500×10⁶ mm²/s)显著相关。在多变量分析中,只有脑梗死体积与HT显著相关。包括DWI体积和临床模型的多变量模型的辨别价值(受试者操作特征曲线下面积,0.80;95%置信区间0.74 - 0.86)与仅基于临床变量的模型相比有显著改善(P = 0.012)。DWI上的脑梗死体积是唯一能为预测IT后HT的临床生物学变量增加价值的MRI变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9c9/6719609/c97c874a5d03/fneur-10-00897-g0001.jpg

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本文引用的文献

1
STARTING-SICH Nomogram to Predict Symptomatic Intracerebral Hemorrhage After Intravenous Thrombolysis for Stroke.
Stroke. 2018 Feb;49(2):397-404. doi: 10.1161/STROKEAHA.117.018427. Epub 2018 Jan 8.
2
Hemorrhagic Transformations after Thrombectomy: Risk Factors and Clinical Relevance.
Cerebrovasc Dis. 2017;43(5-6):294-304. doi: 10.1159/000460265. Epub 2017 Mar 25.
3
Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: Prospective Validation of the HeRS Score.
Medicine (Baltimore). 2016 Jan;95(2):e2430. doi: 10.1097/MD.0000000000002430.
4
Relation between reperfusion and hemorrhagic transformation in acute ischemic stroke.
Neuroradiology. 2015 Dec;57(12):1219-25. doi: 10.1007/s00234-015-1577-6. Epub 2015 Sep 4.
5
Comparison of 8 scores for predicting symptomatic intracerebral hemorrhage after IV thrombolysis.
Neurocrit Care. 2015 Apr;22(2):229-33. doi: 10.1007/s12028-014-0060-2.
6
The smoking paradox: impact of smoking on recanalization in the setting of intra-arterial thrombolysis.
Cerebrovasc Dis Extra. 2014 May 1;4(2):84-91. doi: 10.1159/000357218. eCollection 2014 Jan.
7
Prediction of poststroke hemorrhagic transformation using computed tomography perfusion.
Stroke. 2013 Nov;44(11):3039-43. doi: 10.1161/STROKEAHA.113.002396. Epub 2013 Sep 3.
8
Validation of the DRAGON score in 12 stroke centers in anterior and posterior circulation.
Stroke. 2013 Oct;44(10):2718-21. doi: 10.1161/STROKEAHA.113.002033. Epub 2013 Aug 8.
9
External validation of the SEDAN score for prediction of intracerebral hemorrhage in stroke thrombolysis.
Stroke. 2013 Jun;44(6):1595-600. doi: 10.1161/STROKEAHA.113.000794. Epub 2013 Apr 30.
10
Association of CT perfusion parameters with hemorrhagic transformation in acute ischemic stroke.
AJNR Am J Neuroradiol. 2013 Oct;34(10):1895-900. doi: 10.3174/ajnr.A3502. Epub 2013 Apr 18.

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