Ozenne Brice, Cho Tae-Hee, Mikkelsen Irene Klaerke, Hermier Marc, Ribe Lars, Thomalla Götz, Pedraza Salvador, Baron Jean-Claude, Roy Pascal, Berthezène Yves, Nighoghossian Norbert, Østergaard Leif, Maucort-Boulch Delphine
Service de Biostatistique, Hospices Civils de Lyon, Lyon, France, Equipe Biostatistique Santé CNRS UMR 5558, Villeurbanne, France; Université Lyon I, Lyon, France.
Department of Stroke Medicine and Department of Neuroradiology, Université Lyon 1; CREATIS, CNRS UMR 5220-INSERM U1044, INSA-Lyon; Hospices Civils de Lyon, Lyon, France.
J Neuroimaging. 2015 Nov-Dec;25(6):952-8. doi: 10.1111/jon.12255. Epub 2015 May 1.
Though still debated, early reperfusion is increasingly used as a biomarker for clinical outcome. However, the lack of a standard definition hinders the assessment of reperfusion therapies and study comparisons. The objective was to determine the optimal early reperfusion criteria that predicts clinical outcome in ischemic stroke.
Early reperfusion was assessed voxel-wise in 57 patients within 6 hours of symptom onset. The performance of the time to peak (TTP), the mean transit time (MTT), and the time to maximum of residue function (Tmax ) at various delays thresholds in predicting the neurological response (based on the National Institutes of Health Stroke Scale) and the functional outcome (modified Rankin scale ≤1) at 1 month were compared. A receiver operating characteristics (ROC) analysis determined the optimal extent of reperfusion. A novel unsupervised classification of reperfusion using group-based trajectory modeling (GBTM) was evaluated.
MTT had a lower performance than TTP and Tmax in predicting the neurological response (P = .008 vs. TTP and P = .006 vs. Tmax ) or the functional outcome (P = .0006 vs. TTP; P = .002 vs. Tmax ). No delay threshold had a significantly higher predictive value than another. The optimal percentage of reperfusion was dependent on the outcome scale (P < .001). The GBTM-based classification of reperfusion was closely associated with the clinical outcome and had a similar accuracy compared to ROC-based classification.
TTP and Tmax should be preferred to MTT in defining early reperfusion. GBTM provided a clinically relevant reperfusion classification that does not require prespecified delay thresholds or clinical outcomes.
尽管仍存在争议,但早期再灌注越来越多地被用作临床结局的生物标志物。然而,缺乏标准定义阻碍了对再灌注治疗的评估以及研究间的比较。目的是确定预测缺血性卒中临床结局的最佳早期再灌注标准。
在症状发作6小时内对57例患者进行体素水平的早期再灌注评估。比较了不同延迟阈值下的达峰时间(TTP)、平均通过时间(MTT)和残余函数最大值时间(Tmax)在预测1个月时神经功能反应(基于美国国立卫生研究院卒中量表)和功能结局(改良Rankin量表≤1)方面的表现。采用受试者操作特征(ROC)分析确定最佳再灌注程度。评估了一种使用基于组的轨迹建模(GBTM)的新型无监督再灌注分类方法。
在预测神经功能反应(与TTP相比P = 0.008,与Tmax相比P = 0.006)或功能结局(与TTP相比P = 0.0006;与Tmax相比P = 0.002)方面,MTT的表现低于TTP和Tmax。没有一个延迟阈值具有明显高于另一个的预测价值。最佳再灌注百分比取决于结局量表(P < 0.001)。基于GBTM的再灌注分类与临床结局密切相关,与基于ROC的分类相比具有相似的准确性。
在定义早期再灌注时,应优先选择TTP和Tmax而非MTT。GBTM提供了一种与临床相关的再灌注分类,不需要预先设定延迟阈值或临床结局。