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首页> 外文期刊>Catheterization and cardiovascular interventions: Official journal of the Society for Cardiac Angiography & Interventions >Anatomical risk models for paravalvular leak and landing zone complications for balloon‐expandable transcatheter aortic valve replacement
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Anatomical risk models for paravalvular leak and landing zone complications for balloon‐expandable transcatheter aortic valve replacement

机译:瓣膜可扩展经变形管主动脉瓣膜静脉瓣膜渗漏和着陆区并发症的解剖风险模型

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Background Though several anatomical characteristics have been reported separately as risk factors for paravalvular leak (PVL) and landing zone (LZ) complications after transcatheter aortic valve replacement (TAVR), multivariate risk models are needed. Methods Patients that underwent balloon‐expandable TAVR with multidetector cardiac computed tomography (MDCT) sizing were studied. MDCT images were analyzed and the association between anatomical factors and ≥mild PVL, ≥moderate PVL, and LZ complications (annular rupture, requirement of new permanent pacemaker, and coronary obstruction) was determined, and subsequently competing predictive models were developed and validated. Results A total of 316 consecutive TAVR patients were included. Median age was 82.0 years (74.0–87.0) and STS score was 8.3% (5.4–10.9). Factors associated with ≥mild PVL included TAVR with Sapien/Sapien XT vs. Sapien 3 (OR?=?2.50, 95% CI?=?1.24–5.07), LVOT nontubularity (OR?=?1.02, 95% CI?=?1.01–1.04), LZ calcification (OR?=?1.01, 95% CI?=?1.00–1.01), and low cover index (OR?=?0.94, 95% CI?=?0.91–0.96). Factors associated with LZ complications included LZ calcification (OR?=?1.01, 95% CI 1.00–1.01), leaflet asymmetry (OR?=?1.01, 95% CI 1.01–1.02), and cover index (OR?=?1.09, 95% CI 1.03–1.14). Predictive models for ≥mild PVL (AUC?=?0.71, 95% CI?=?0.66–0.77), ≥moderate PVL (AUC?=?0.75, 95% CI?=?0.65–0.84), and LZ complications (AUC?=?0.77, 95% CI?=?0.67–0.87) were created using procedural details and anatomical data from the MDCT. Clinical variables were not included as they were poorly correlated with the occurrence of PVL and LZ complications. For each outcome, the area under the curve (AUC) of the multivariate model was superior to the model consisting only of individual factors. Conclusions A model using procedural/anatomical characteristics derived from MDCT predicts ≥mild PVL, ≥moderate PVL, and LZ complications post‐TAVR. Incorporation of anatomical risks into clinical practice may help stratify patients before TAVR. ? 2017 Wiley Periodicals, Inc.
机译:背景技术虽然已经报告了几种解剖学特性作为静脉脉冲泄漏(PVL)和降落区(LZ)复杂性的危险因素,但在经沟管主动脉瓣更换(TAVR)后,需要多变量风险模型。方法研究了与多种子体心脏计算机断层扫描(MDCT)尺寸进行了开沟扩张TAVR的患者。分析了MDCT图像,确定了解剖因子和≥MildPV1之间的关联,≥ModEDPVL和LZ并发症(环形破裂,新的永久起搏器和冠状动脉梗阻),并开发并验证了竞争预测模型。结果总共包括316名连续TAVR患者。中位年龄为82.0岁(74.0-87.0)和STS得分为8.3%(5.4-10.9)。与≥MildPVL相关的因素包括与Sapien / Sapien XT与Sapien 3(或?=?2.50,95%CI?=?1.24-5.07),Lvot Nontubularity(或?=?1.02,95%CI?=? 1.01-1.04),LZ钙化(或?=?1.01,95%CI?=?1.00-1.01)和低盖指数(或?= 0.94,95%CI?= 0.91-0.96)。与LZ并发症相关的因素包括LZ钙化(或?=α1.1.01,95%CI 1.00-1.01),小叶不对称性(或?=?1.01,95%CI 1.01-1.02)和覆盖指数(或?=?1.09, 95%CI 1.03-1.14)。用于≥MildPVL的预测模型(AUC?=?0.71,95%CI?= 0.66-0.77),≥ModeratePVL(AUC?= 0.75,95%CI?=?0.65-0.84)和LZ并发症(AUC ?=?0.77,95%CI?=?0.67-0.87)使用来自MDCT的程序细节和解剖数据来创建。不包括临床变量,因为它们与PVL和LZ并发症的发生不良。对于每个结果,多变量模型的曲线(AUC)下的区域优于仅由个性因素组成的模型。结论使用源自MDCT的程序/解剖特征的模型预测≥MILDPVL,≥MODEDPVL和TAVR的LZ并发症。将解剖风险纳入临床实践可能有助于在TAVR之前分层患者。还2017年Wiley期刊,Inc。

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