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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:气球扩张转基因瓣膜瓣膜瓣膜瓣膜静脉瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜瓣膜置换术的解剖风险模型

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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:背景尽管有几个解剖学特征被分别报道为经导管主动脉瓣置换术(TAVR)后瓣膜旁漏(PVL)和着陆区(LZ)并发症的危险因素,但需要多变量风险模型。方法采用多探测器心脏计算机断层扫描(MDCT)对接受球囊扩张式TAVR的患者进行研究。分析MDCT图像,并分析解剖因素与≥轻度PVL,≥确定了中度PVL和LZ并发症(环形破裂、新永久起搏器的需求和冠状动脉阻塞),随后开发并验证了相互竞争的预测模型。结果共纳入316例连续TAVR患者。中位年龄为82.0岁(74.0-87.0),STS评分为8.3%(5.4-10.9)。相关因素≥轻度PVL包括Sapien/Sapien XT与Sapien 3的TAVR(OR?=?2.50,95%CI?=?1.24–5.07),LVOT非导管性(OR?=?1.02,95%CI?=?1.01–1.04),LZ钙化(OR?=?1.01,95%CI?=?1.00–1.01),以及低覆盖指数(OR?=?0.94,95%CI?=?0.91–0.96)。与LZ并发症相关的因素包括LZ钙化(OR?=?1.01,95%可信区间1.00–1.01)、小叶不对称(OR?=?1.01,95%可信区间1.01–1.02)和覆盖指数(OR?=?1.09,95%可信区间1.03–1.14)。预测模型≥轻度PVL(AUC?=0.71,95%可信区间?=0.66-0.77),≥中度PVL(AUC?=?0.75,95%可信区间?=?0.65–0.84)和LZ并发症(AUC?=?0.77,95%可信区间?=?0.67–0.87)是使用MDCT的程序细节和解剖数据创建的。临床变量不包括在内,因为它们与PVL和LZ并发症的发生相关性很低。对于每个结果,多变量模型的曲线下面积(AUC)均优于仅包含单个因素的模型。结论利用MDCT的程序/解剖特征建立的模型可以预测≥轻度PVL,≥TAVR术后出现中度PVL和LZ并发症。将解剖学风险纳入临床实践可能有助于在TAVR前对患者进行分层?2017威利期刊公司。

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