Abstract：
OBJECTIVE: To validate the predictive performance of the THRIVE, ASTRAL, and iScore scales for clinical functional outcomes following mechanical thrombectomy (MT) for acute ischemic stroke (AIS).
METHODS: A total of 111 patients meeting the inclusion criteria were included in this study, with 59 (53.2%) having a good prognosis and 52 (46.8%) having a poor prognosis. MedCalc software was applied to plot receiver operating characteristic (ROC) curves, calculate the area under the curve (AUC), and compare the predictive efficacy of the three scales two by two using Delong text. Statistical significance was defined as Pc < 0.05.
RESULTS: Logistic binary regression multifactorial analysis revealed that iScore is one of the poor predictors of prognosis in patients with MT. The AUC values for the THRIVE, ASTRAL, and iScore scales in predicting prognosis after MT were found to be 0.713, 0.738, and 0.820, respectively.
CONCLUSIONS: The iScore is a reliable tool for assessing the poor prognosis of MT in patients with AIS.
METHODS: A total of 111 patients meeting the inclusion criteria were included in this study, with 59 (53.2%) having a good prognosis and 52 (46.8%) having a poor prognosis. MedCalc software was applied to plot receiver operating characteristic (ROC) curves, calculate the area under the curve (AUC), and compare the predictive efficacy of the three scales two by two using Delong text. Statistical significance was defined as Pc < 0.05.
RESULTS: Logistic binary regression multifactorial analysis revealed that iScore is one of the poor predictors of prognosis in patients with MT. The AUC values for the THRIVE, ASTRAL, and iScore scales in predicting prognosis after MT were found to be 0.713, 0.738, and 0.820, respectively.
CONCLUSIONS: The iScore is a reliable tool for assessing the poor prognosis of MT in patients with AIS.
摘要：
目的：为了验证THRIVE的预测性能，ASTRAL,和iScore量表用于急性缺血性卒中（AIS）机械血栓切除术（MT）后的临床功能结果。
方法：本研究共纳入111例符合纳入标准的患者，59（53.2％）预后良好，52（46.8％）预后不良。应用MedCalc软件绘制受试者工作特征(ROC)曲线，计算曲线下面积（AUC），并使用Delong文本两两两比较三个量表的预测功效。统计显著性定义为Pc<0.05。
结果：Logistic二元回归多因素分析显示，iScore是MT患者预后的不良预测因子之一。THRIVE的AUC值，ASTRAL,预测MT后预后的iScore量表分别为0.713、0.738和0.820。
结论：iScore是评估AIS患者MT不良预后的可靠工具。
方法：本研究共纳入111例符合纳入标准的患者，59（53.2％）预后良好，52（46.8％）预后不良。应用MedCalc软件绘制受试者工作特征(ROC)曲线，计算曲线下面积（AUC），并使用Delong文本两两两比较三个量表的预测功效。统计显著性定义为Pc<0.05。
结果：Logistic二元回归多因素分析显示，iScore是MT患者预后的不良预测因子之一。THRIVE的AUC值，ASTRAL,预测MT后预后的iScore量表分别为0.713、0.738和0.820。
结论：iScore是评估AIS患者MT不良预后的可靠工具。
