Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.
Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Catheter Cardiovasc Interv. 2020 Nov;96(5):E501-E507. doi: 10.1002/ccd.28871. Epub 2020 Mar 23.
To assess the clinical significance of a novel optical coherence tomography (OCT)-derived volumetric parameter of stent expansion by comparing it with the conventional parameters in real-world practice.
The clinical significance of novel parameters in real-world practice including longer and smaller stents remains to be elucidated.
A total of 226 de novo lesion treated with drug-eluting stents in 208 consecutive patients were enrolled. Stent expansion was retrospectively assessed on the final OCT images after stent implantation. The novel parameter was the minimum expansion index (MEI) calculated using a novel algorithm that yields the ideal lumen area in each frame by taking into account vessel tapering. The device-oriented clinical end point (DoCE) included cardiac death, target vessel-related myocardial infarction, ischemia-driven target lesion revascularization.
The MEI in the lesions with a DoCE (n = 22) at 2 years and cases without a DoCE (n = 204) was 64.3 ± 12.0% and 78.5 ± 14.6%, respectively (p < .001). In the receiver operating characteristic curve analyses, the areas under the curve for the MEI (0.787; p < .001) were larger than that for %stent expansion (0.718; p = .001) and minimum stent area (0.664; p = .004) in predicting the DoCE. The best cutoff of MEI for predicting the DoCE was 74.0.
The novel MEI was better than the conventional %stent expansion and minimum stent area for predicting DoCE.
通过将一种新的基于光学相干断层扫描(OCT)的支架扩张体积参数与真实世界中的常规参数进行比较,评估其临床意义。
在真实世界中,包括更长和更小的支架在内的新型参数的临床意义仍有待阐明。
共纳入 208 例连续患者的 226 例新发病变行药物洗脱支架治疗。支架植入后,对最终 OCT 图像进行支架扩张的回顾性评估。使用一种新算法计算出的新参数是最小扩张指数(MEI),该算法通过考虑血管变细,为每个帧生成理想的管腔面积。以器械为导向的临床终点(DoCE)包括心源性死亡、靶血管相关心肌梗死、缺血驱动的靶病变血运重建。
在 2 年时有 DoCE(n=22)的病变和无 DoCE(n=204)的病变中,MEI 分别为 64.3±12.0%和 78.5±14.6%(p<0.001)。在受试者工作特征曲线分析中,MEI(0.787;p<0.001)的曲线下面积大于%支架扩张(0.718;p=0.001)和最小支架面积(0.664;p=0.004),用于预测 DoCE。预测 DoCE 的 MEI 最佳截断值为 74.0。
与传统的%支架扩张和最小支架面积相比,新的 MEI 更能预测 DoCE。