Suppr超能文献

非复杂性 B 型主动脉夹层患者晚期主动脉不良事件的风险评分系统。

Risk score system for late aortic events in patients with uncomplicated type B aortic dissection.

机构信息

Department of Cardiovascular Surgery, Seikeikai Chiba Medical Center, Chiba, Japan; Department of Global Clinical Research, Graduate School of Medicine, Chiba University, Chiba, Japan.

Department of Cardiovascular Surgery, Tokyo Bay Urayasu Ichikawa Medical Center, Chiba, Japan.

出版信息

J Thorac Cardiovasc Surg. 2020 Jun;159(6):2173-2183.e1. doi: 10.1016/j.jtcvs.2019.06.019. Epub 2019 Jun 20.

Abstract

OBJECTIVE

Several risk factors for late aortic events in patients with uncomplicated type B aortic dissection (UTBAD) have been reported; however, they remain controversial. We developed and validated a new risk prediction score system for late aortic events in patients with UTBAD.

METHODS

We reviewed 187 consecutive patients diagnosed with UTBAD from 2004 to 2017 at 2 centers (derivation cohort) and 219 consecutive patients diagnosed with UTBAD from 2012 to 2016 in 4 other centers (validation cohort). We explored predictors of late aortic events using Fine-Gray generalization of the proportional hazards model, then developed a risk prediction score model and determined the test reliability using time-dependent receiver operating characteristic analyses. Finally, we validated the model using external multicenter data.

RESULTS

The risk prediction score system was developed using the following independent predictors: initial aortic diameter of ≥40 mm (2 points), false lumen diameter larger than true lumen diameter (2 points), ulcer-like projection (1 point), and age ≥70 years (1 point). Receiver operating characteristic analysis showed that a cut-off total additive score of 2 points. In the validation cohort, the low-risk group (score, 0-1 point) demonstrated lower 1- and 3-year incidence rates of late aortic events than the high-risk group (score, 2-6 points) (0.9% vs 32.5% and 0.9% vs 47.1%, respectively; P < .0001).

CONCLUSIONS

We developed a simple risk prediction score system for late aortic events in patients with UTBAD. High-risk patients can be identified using our model, and they should be closely monitored and considered for interventions at the appropriate timing.

摘要

目的

已有报道称,多种风险因素可导致单纯型 B 型主动脉夹层(UTBAD)患者发生晚期主动脉不良事件,但这些因素仍存在争议。本研究旨在建立并验证一种新的单纯型 B 型主动脉夹层患者发生晚期主动脉不良事件的风险预测评分系统。

方法

本研究回顾性分析了 2004 年至 2017 年期间在 2 家中心(推导队列)连续收治的 187 例单纯型 B 型主动脉夹层患者和 2012 年至 2016 年期间在另外 4 家中心(验证队列)连续收治的 219 例单纯型 B 型主动脉夹层患者的临床资料。采用 Fine-Gray 广义比例风险模型分析晚期主动脉不良事件的预测因子,建立风险预测评分模型,并采用时间依赖性受试者工作特征曲线分析评估模型的检验可靠性。最后,采用外部多中心数据对模型进行验证。

结果

该风险预测评分系统的建立基于以下独立预测因子:初始主动脉直径≥40mm(2 分)、假腔直径大于真腔直径(2 分)、溃疡样突起(1 分)和年龄≥70 岁(1 分)。受试者工作特征曲线分析显示,总分加和≥2 分可作为预测晚期主动脉不良事件的截断值。在验证队列中,低危组(评分 0-1 分)的 1 年和 3 年晚期主动脉不良事件发生率均低于高危组(评分 2-6 分)(0.9%比 32.5%和 0.9%比 47.1%;P<0.0001)。

结论

本研究建立了一种用于预测单纯型 B 型主动脉夹层患者发生晚期主动脉不良事件的简单风险预测评分系统。高危患者可采用该模型进行识别,应密切监测并考虑在适当时机进行干预。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验