Rodrigo-Gisbert Marc, García-Tornel Alvaro, Requena Manuel, Vielba-Gómez Isabel, Bashir Saima, Rubiera Marta, De Dios Lascuevas Marta, Olivé-Gadea Marta, Piñana Carlos, Rizzo Federica, Muchada Marian, Rodriguez-Villatoro Noelia, Rodríguez-Luna David, Juega Jesus, Pagola Jorge, Hernández David, Molina Carlos A, Terceño Mikel, Tomasello Alejandro, Ribo Marc
Stroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain.
Sci Rep. 2024 Feb 5;14(1):2945. doi: 10.1038/s41598-024-53354-z.
The identification of large vessel occlusion with underlying intracranial atherosclerotic disease (ICAS-LVO) before endovascular treatment (EVT) continues to be a challenge. We aimed to analyze baseline clinical-radiological features associated with ICAS-LVO that could lead to a prompt identification. We performed a retrospective cross-sectional study of consecutive patients with stroke treated with EVT from January 2020 to April 2022. We included anterior LVO involving intracranial internal carotid artery and middle cerebral artery. We analyzed baseline clinical and radiological variables associated with ICAS-LVO and evaluated the diagnostic value of a multivariate logistic regression model to identify ICAS-LVO before EVT. ICAS-LVO was defined as presence of angiographic residual stenosis or a trend to re-occlusion during EVT procedure. A total of 338 patients were included in the study. Of them, 28 patients (8.3%) presented with ICAS-LVO. After adjusting for confounders, absence of atrial fibrillation (OR 9.33, 95% CI 1.11-78.42; p = 0.040), lower hypoperfusion intensity ratio (HIR [Tmax > 10 s/Tmax > 6 s ratio], (OR 0.69, 95% CI 0.50-0.95; p = 0.025), symptomatic intracranial artery calcification (IAC, OR .15, 95% CI 1.64-26.42, p = 0.006), a more proximal occlusion (ICA, MCA-M1: OR 4.00, 95% CI 1.23-13.03; p = 0.021), and smoking (OR 2.91, 95% CI 1.08-7.90; p = 0.035) were associated with ICAS-LVO. The clinico-radiological model showed an overall well capability to identify ICAS-LVO (AUC = 0.88, 95% CI 0.83-0.94; p < 0.001). In conclusion, a combination of clinical and radiological features available before EVT can help to identify an ICAS-LVO. This approach could be useful to perform a rapid assessment of underlying etiology and suggest specific pathophysiology-based measures. Prospective studies are needed to validate these findings in other populations.
在血管内治疗(EVT)前识别合并颅内动脉粥样硬化疾病的大血管闭塞(ICAS-LVO)仍然是一项挑战。我们旨在分析与ICAS-LVO相关的基线临床放射学特征,以便能够迅速识别。我们对2020年1月至2022年4月接受EVT治疗的连续性卒中患者进行了一项回顾性横断面研究。我们纳入了累及颅内颈内动脉和大脑中动脉的前循环大血管闭塞。我们分析了与ICAS-LVO相关的基线临床和放射学变量,并评估了多变量逻辑回归模型在EVT前识别ICAS-LVO的诊断价值。ICAS-LVO定义为血管造影显示有残余狭窄或在EVT过程中有再闭塞趋势。共有338例患者纳入本研究。其中,28例(8.3%)表现为ICAS-LVO。在对混杂因素进行校正后,无房颤(OR 9.33,95%CI 1.11-78.42;p=0.040)、较低的低灌注强度比值(HIR [Tmax>10 s/Tmax>6 s比值],(OR 0.69,95%CI 0.50-0.95;p=0.025)、症状性颅内动脉钙化(IAC,OR 15,95%CI 1.64-26.42,p=0.006)、更靠近近端的闭塞(ICA,MCA-M1:OR 4.00,95%CI 1.23-13.03;p=0.021)以及吸烟(OR 2.91,95%CI 1.08-7.90;p=0.035)与ICAS-LVO相关。临床放射学模型显示出识别ICAS-LVO的总体良好能力(AUC=0.88,95%CI 0.83-0.94;p<0.001)。总之,EVT前可用的临床和放射学特征相结合有助于识别ICAS-LVO。这种方法可能有助于对潜在病因进行快速评估,并提出基于特定病理生理学的措施。需要进行前瞻性研究以在其他人群中验证这些发现。