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Evaluation of Survival Outcomes of Endovascular Versus Open Aortic Repair for Abdominal Aortic Aneurysms with a Big Data Approach

机译:腹血管血管血管血管血管血管患者的腹膜动脉瘤及大数据方法评价

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摘要

Abdominal aortic aneurysm (AAA) is a localized enlargement of the abdominal aorta. Once ruptured AAA (rAAA) happens, repairing procedures need to be applied immediately, for which there are two main options: open aortic repair (OAR) and endovascular aortic repair (EVAR). It is of great clinical significance to objectively compare the survival outcomes of OAR versus EVAR using randomized clinical trials; however, this has serious feasibility issues. In this study, with the Medicare data, we conduct an emulation analysis and explicitly “assemble” a clinical trial with rigorously defined inclusion/exclusion criteria. A total of 7826 patients are “recruited”, with 3866 and 3960 in the OAR and EVAR arms, respectively. Mimicking but significantly advancing from the regression-based literature, we adopt a deep learning-based analysis strategy, which consists of a propensity score step, a weighted survival analysis step, and a bootstrap step. The key finding is that for both short- and long-term mortality, EVAR has survival advantages. This study delivers a new big data strategy for addressing critical clinical problems and provides valuable insights into treating rAAA using OAR and EVAR.
机译:腹主动脉瘤(AAA)是腹主动脉的局部扩大。一旦发生破裂的AAA(RAAA),需要立即应用修复程序,其中有两种主要选择:开放主动脉修复(OAR)和血管内主动脉修复(EVAR)。客观地比较OAR与EVAR的生存结果使用随机临床试验是具有很大的临床意义;但是,这具有严重的可行性问题。在本研究中,通过Medicare数据,我们进行仿真分析,并明确地“组装”临床试验,与严格定义的夹杂物/排除标准进行了临床试验。共有7826名患者被“招募”,分别在OAR和Evar Arms中有3866和3960次。模仿但显着推进了基于回归的文献,我们采用了基于深度学习的分析策略,该策略包括倾向分数步骤,加权生存分析步骤和自举步骤。关键发现是,对于短期和长期死亡率,Evar具有生存优势。本研究提供了一种新的大数据策略,用于解决关键的临床问题,并提供使用OAR和EVAR治疗RAAA的有价值的见解。

著录项

  • 期刊名称 Entropy
  • 作者单位
  • 年(卷),期 2020(22),12
  • 年度 2020
  • 页码 1349
  • 总页数 15
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:腹主动脉瘤;仿真;深入学习;Medicare数据;

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