Suppr超能文献

右心室射血分数用于预测主要不良心血管和心力衰竭相关事件:一项基于心脏磁共振成像的对7131例已知或疑似心血管疾病患者的研究。

Right Ventricular Ejection Fraction for the Prediction of Major Adverse Cardiovascular and Heart Failure-Related Events: A Cardiac MRI Based Study of 7131 Patients With Known or Suspected Cardiovascular Disease.

作者信息

Purmah Yanish, Lei Lucy Y, Dykstra Steven, Mikami Yoko, Cornhill Aidan, Satriano Alessandro, Flewitt Jacqueline, Rivest Sandra, Sandonato Rosa, Seib Michelle, Lydell Carmen P, Howarth Andrew G, Heydari Bobak, Merchant Naeem, Bristow Michael, Fine Nowell, Gaztanaga Juan, White James A

机构信息

Stephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta (Y.P., L.Y.L., S.D., Y.M., A.C., A.S., J.F., S.R., R.S., M.S., C.P.L., A.G.H., B.H., N.M., M.B., N.F., J.A.W.), Cumming School of Medicine, University of Calgary, Canada.

Department of Diagnostic Imaging (C.P.L., N.M., M.B., J.A.W.), Cumming School of Medicine, University of Calgary, Canada.

出版信息

Circ Cardiovasc Imaging. 2021 Mar;14(3):e011337. doi: 10.1161/CIRCIMAGING.120.011337. Epub 2021 Mar 16.

Abstract

BACKGROUND

There is increasing evidence that right ventricular ejection fraction (RVEF) may provide incremental value to left ventricular (LV) ejection fraction for the prediction of major adverse cardiovascular events. To date, generalizable utility for RVEF quantification in patients with cardiovascular disease has not been established. Using a large prospective clinical outcomes registry, we investigated the prognostic value of RVEF for the prediction of major adverse cardiovascular events- and heart failure-related outcomes.

METHODS

Seven thousand one hundred thirty-one consecutive patients with known or suspected cardiovascular disease undergoing cardiovascular magnetic resonance imaging were prospectively enrolled. Multichamber volumetric quantification was performed by standardized operational procedures. Patients were followed for the primary composite outcome of all-cause death, survived cardiac arrest, admission for heart failure, need for transplantation or LV assist device, acute coronary syndrome, need for revascularization, stroke, or transient ischemic attack. A secondary, heart failure focused outcome of heart failure admission, need for transplantation/LV assist device or death was also studied.

RESULTS

Mean age was 54±15 years. The mean LV ejection fraction was 55±14% (range 6%-90%) with a mean RVEF of 54±10% (range 9%-87%). At a median follow-up of 908 days, 870 (12%) patients experienced the primary composite outcome and 524 (7%) the secondary outcome. Each 10% drop in RVEF was associated with a 1.3-fold increased risk of the primary outcome (<0.001) and 1.5-fold increased risk of the secondary outcome (<0.001). RVEF was an independent predictor following comprehensive covariate adjustment, inclusive of LV ejection fraction. Patients with an RVEF<40% experienced a 3.1-fold risk of the primary outcome (<0.001) with a 1-year cumulative event rate of 22% versus 7% above this cutoff.

CONCLUSIONS

RVEF is a powerful and independent predictor of major adverse cardiac events with broad generalizability across patients with known or suspected cardiovascular disease. These findings support migration towards biventricular phenotyping for the classification of risk in clinical practice. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04367220.

摘要

背景

越来越多的证据表明,右心室射血分数(RVEF)在预测主要不良心血管事件方面可能为左心室(LV)射血分数提供额外价值。迄今为止,心血管疾病患者中RVEF定量的普遍适用性尚未确立。我们使用一个大型前瞻性临床结局登记库,研究了RVEF对预测主要不良心血管事件及心力衰竭相关结局的预后价值。

方法

前瞻性纳入7131例已知或疑似心血管疾病且接受心血管磁共振成像的连续患者。通过标准化操作程序进行多腔室容积定量。对患者进行随访,观察全因死亡、心脏骤停存活、心力衰竭入院、移植或左心室辅助装置需求、急性冠状动脉综合征、血运重建需求、中风或短暂性脑缺血发作的主要复合结局。还研究了以心力衰竭入院、移植/左心室辅助装置需求或死亡为重点的次要心力衰竭结局。

结果

平均年龄为54±15岁。平均左心室射血分数为55±14%(范围6%-90%),平均右心室射血分数为54±10%(范围9%-87%)。在中位随访908天时,870例(12%)患者出现主要复合结局,524例(7%)患者出现次要结局。RVEF每下降10%,主要结局风险增加1.3倍(<0.001),次要结局风险增加1.5倍(<0.001)。在综合协变量调整后,包括左心室射血分数,RVEF是一个独立预测因子。右心室射血分数<40%的患者主要结局风险增加3.1倍(<0.001),1年累积事件发生率为22%,而高于此临界值的患者为7%。

结论

RVEF是主要不良心脏事件的有力且独立预测因子,在已知或疑似心血管疾病患者中具有广泛的普遍性。这些发现支持在临床实践中朝着双心室表型分析发展以进行风险分类。注册:网址:https://www.clinicaltrials.gov;唯一标识符:NCT04367220。

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