• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

疑似非侵入性应激测试患者的聚类分析,这些患者被转介进行血管扩张剂应激心血管磁共振检查。

Clustering of patients with inconclusive non-invasive stress testing referred for vasodilator stress cardiovascular magnetic resonance.

机构信息

Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques Cartier, Ramsay Santé, 91300 Massy, France; Department of Cardiology, Lariboisière Hospital, AP-HP, Inserm UMRS 942, University of Paris, 75010 Paris, France.

Hôpital Cardiologique Haut-Lévêque, CHU de Bordeaux, 33600 Pessac, France.

出版信息

Arch Cardiovasc Dis. 2022 Dec;115(12):627-636. doi: 10.1016/j.acvd.2022.08.004. Epub 2022 Oct 24.

DOI:10.1016/j.acvd.2022.08.004
PMID:36376207
Abstract

BACKGROUND

Inconclusive non-invasive stress testing is associated with impaired outcome. This population is very heterogeneous, and its characteristics are not well depicted by conventional methods.

AIMS

To identify patient subgroups by phenotypic unsupervised clustering, integrating clinical and cardiovascular magnetic resonance data to unveil pathophysiological differences between subgroups of patients with inconclusive stress tests.

METHODS

Between 2008 and 2020, consecutive patients with a first inconclusive non-invasive stress test referred for stress cardiovascular magnetic resonance were followed for the occurrence of major adverse cardiovascular events (defined as cardiovascular death or myocardial infarction). A cluster analysis was performed on clinical and cardiovascular magnetic resonance variables.

RESULTS

Of 1402 patients (67% male; mean age 70±11years) who completed the follow-up (median 6.5years, interquartile range 5.6-7.5years), 197 experienced major adverse cardiovascular events (14.1%). Three distinct phenogroups were identified based upon unsupervised hierarchical clustering of principal components: phenogroup 1=history of percutaneous coronary intervention with viable myocardial infarction and preserved left ventricular ejection fraction; phenogroup 2=atrial fibrillation with preserved left ventricular ejection fraction; and phenogroup 3=coronary artery bypass graft with non-viable myocardial scar and reduced left ventricular ejection fraction. Using survival analysis, the occurrence of major adverse cardiovascular events (P=0.007), cardiovascular mortality (P=0.002) and all-cause mortality (P<0.001) differed among the three phenogroups. Phenogroup 3 presented the worse prognosis. In each phenogroup, ischaemia was associated with major adverse cardiovascular events (phenogroup 1: hazard ratio 2.79, 95% confidence interval 1.61-4.84; phenogroup 2: hazard ratio 2.59, 95% confidence interval 1.69-3.97; phenogroup 3: hazard ratio 3.16, 95% confidence interval 1.82-5.49; all P<0.001).

CONCLUSIONS

Cluster analysis of clinical and cardiovascular magnetic resonance variables identified three phenogroups of patients with inconclusive stress testing, with distinct prognostic profiles.

摘要

背景

不确定的非侵入性应激测试与不良预后相关。该人群非常多样化,传统方法无法很好地描述其特征。

目的

通过表型无监督聚类来确定患者亚组,整合临床和心血管磁共振数据,揭示不确定应激测试患者亚组之间的病理生理差异。

方法

在 2008 年至 2020 年间,连续对因首次不确定的非侵入性应激测试而转介进行应激心血管磁共振的患者进行了随访,以观察主要不良心血管事件(定义为心血管死亡或心肌梗死)的发生情况。对临床和心血管磁共振变量进行聚类分析。

结果

在完成随访的 1402 例患者(67%为男性;平均年龄 70±11 岁)中,197 例发生主要不良心血管事件(14.1%)。基于主成分的无监督层次聚类,确定了三个不同的表型组:表型组 1=经皮冠状动脉介入治疗伴存活心肌梗死和保留左心室射血分数;表型组 2=心房颤动伴保留左心室射血分数;表型组 3=冠状动脉旁路移植术伴非存活心肌瘢痕和左心室射血分数降低。通过生存分析,三个表型组之间主要不良心血管事件的发生(P=0.007)、心血管死亡率(P=0.002)和全因死亡率(P<0.001)存在差异。表型组 3 预后最差。在每个表型组中,缺血与主要不良心血管事件相关(表型组 1:危险比 2.79,95%置信区间 1.61-4.84;表型组 2:危险比 2.59,95%置信区间 1.69-3.97;表型组 3:危险比 3.16,95%置信区间 1.82-5.49;均 P<0.001)。

结论

对临床和心血管磁共振变量进行聚类分析,确定了不确定应激测试患者的三个表型组,具有不同的预后特征。

相似文献

1
Clustering of patients with inconclusive non-invasive stress testing referred for vasodilator stress cardiovascular magnetic resonance.疑似非侵入性应激测试患者的聚类分析,这些患者被转介进行血管扩张剂应激心血管磁共振检查。
Arch Cardiovasc Dis. 2022 Dec;115(12):627-636. doi: 10.1016/j.acvd.2022.08.004. Epub 2022 Oct 24.
2
Phenotypic Clustering of Patients With Newly Diagnosed Coronary Artery Disease Using Cardiovascular Magnetic Resonance and Coronary Computed Tomography Angiography.利用心血管磁共振成像和冠状动脉计算机断层扫描血管造影术对新诊断冠心病患者进行表型聚类分析
Front Cardiovasc Med. 2021 Nov 18;8:760120. doi: 10.3389/fcvm.2021.760120. eCollection 2021.
3
Phenomapping of patients with heart failure with preserved ejection fraction using machine learning-based unsupervised cluster analysis.基于机器学习的无监督聚类分析对射血分数保留心力衰竭患者的表型分析。
Eur J Heart Fail. 2020 Jan;22(1):148-158. doi: 10.1002/ejhf.1621. Epub 2019 Oct 21.
4
Heart failure with preserved ejection fraction phenogroup classification using machine learning.采用机器学习对射血分数保留型心力衰竭进行表型分组分类。
ESC Heart Fail. 2023 Jun;10(3):2019-2030. doi: 10.1002/ehf2.14368. Epub 2023 Apr 12.
5
Safety and Prognostic Value of Vasodilator Stress Cardiovascular Magnetic Resonance in Patients With Heart Failure and Reduced Ejection Fraction.心力衰竭伴射血分数降低患者的血管扩张剂应激心血管磁共振的安全性和预后价值。
Circ Cardiovasc Imaging. 2020 Sep;13(9):e010599. doi: 10.1161/CIRCIMAGING.120.010599. Epub 2020 Sep 2.
6
Long-term prognostic value of vasodilator stress cardiac magnetic resonance in patients with atrial fibrillation.在房颤患者中,血管扩张剂负荷心脏磁共振的长期预后价值。
ESC Heart Fail. 2022 Feb;9(1):110-121. doi: 10.1002/ehf2.13736. Epub 2021 Dec 6.
7
Prognostic value of vasodilator stress perfusion cardiovascular magnetic resonance after inconclusive stress testing.在应激试验结果不确定的情况下,血管扩张剂负荷灌注心血管磁共振的预后价值。
J Cardiovasc Magn Reson. 2021 Jul 5;23(1):89. doi: 10.1186/s12968-021-00785-6.
8
Relationship of interleukin-16 with different phenogroups in acute heart failure with preserved ejection fraction.白细胞介素-16 与射血分数保留的急性心力衰竭不同表型群的关系。
ESC Heart Fail. 2024 Aug;11(4):2354-2365. doi: 10.1002/ehf2.14808. Epub 2024 Apr 30.
9
The HFA-PEFF score identifies 'early-HFpEF' phenogroups associated with distinct biomarker profiles.HFA-PEFF 评分可识别与不同生物标志物特征相关的“早期-HFpEF”表型群。
ESC Heart Fail. 2022 Jun;9(3):2032-2036. doi: 10.1002/ehf2.13861. Epub 2022 Mar 17.
10
Development and validation of optimal phenomapping methods to estimate long-term atherosclerotic cardiovascular disease risk in patients with type 2 diabetes.开发和验证最优表型映射方法,以估算 2 型糖尿病患者的长期动脉粥样硬化性心血管疾病风险。
Diabetologia. 2021 Jul;64(7):1583-1594. doi: 10.1007/s00125-021-05426-2. Epub 2021 Mar 13.