Magnetic Resonance Assessment of Left Ventricular Ejection Fraction at Any Time Post‐Infarction for Prediction of Subsequent Events in a Large Multicenter STEMI Registry

狼牙棒 射血分数 医学 心脏病学 心肌梗塞 内科学 磁共振成像 心力衰竭 经皮冠状动脉介入治疗 放射科
作者
José Gavara,Víctor Marcos‐Garcés,María P. López‐Lereu,José V. Monmeneu,César Ríos‐Navarro,Elena de Dios,N Pérez,H Merenciano-Gonzalez,A Gabaldon-Perez,Joaquim Cànoves,Paolo Racugno,Clara Bonanad,Gema Miñana,Julio Núñez,Eduardo Núñez,David Moratal,Francisco J. Chorro,Filipa Valente,Daniel Lorenzatti,José F. Rodríguez‐Palomares
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:56 (2): 476-487 被引量:16
标识
DOI:10.1002/jmri.27789
摘要

BACKGROUND: Magnetic resonance imaging (MRI) is the most accurate imaging technique for left ventricular ejection fraction (LVEF) quantification, but as yet the prognostic value of LVEF assessment at any time after ST-segment elevation myocardial infarction (STEMI) for subsequent major adverse cardiac event (MACE) prediction is uncertain. PURPOSE: To explore the prognostic impact of MRI-derived LVEF at any time post-STEMI to predict subsequent MACE (cardiovascular death or re-admission for acute heart failure). STUDY TYPE: Prospective. POPULATION: One thousand thirteen STEMI patients were included in a multicenter registry. FIELD STRENGTH/SEQUENCE: 1.5-T. Balanced steady-state free precession (cine imaging) and segmented inversion recovery steady-state free precession (late gadolinium enhancement) sequences. ASSESSMENT: Post-infarction MRI-derived LVEF (reduced [r]: <40%; mid-range [mr]: 40%-49%; preserved [p]: ≥50%) was sequentially quantified at 1 week and after >3 months of follow-up. STATISTICAL TESTS: Multi-state Markov model to determine the prognostic value of each LVEF state (r-, mr- or p-) at any time point assessed to predict subsequent MACE. A P-value <0.05 was considered to be statistically significant. RESULTS: During a 6.2-year median follow-up, 105 MACE (10%) were registered. Transitions toward improved LVEF predominated and only r-LVEF (at any time assessed) was significantly related to a higher incidence of subsequent MACE. The observed transitions from r-LVEF, mr-LVEF, and p-LVEF states to MACE were: 15.3%, 6%, and 6.7%, respectively. Regarding the adjusted transition intensity ratios, patients in r-LVEF state were 4.52-fold more likely than those in mr-LVEF state and 5.01-fold more likely than those in p-LVEF state to move to MACE state. Nevertheless, no significant differences were found in transitions from mr-LVEF and p-LVEF states to MACE state (P-value = 0.6). DATA CONCLUSION: LVEF is an important MRI index for simple and dynamic post-STEMI risk stratification. Detection of r-LVEF by MRI at any time during follow-up identifies a subset of patients at high risk of subsequent events. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚幻焦完成签到,获得积分20
刚刚
2秒前
2秒前
丁丁车完成签到 ,获得积分10
2秒前
爱听歌安彤完成签到,获得积分10
2秒前
3秒前
AL发布了新的文献求助10
4秒前
4秒前
科研通AI6.3应助卜卜采纳,获得10
6秒前
6秒前
看起来不太强完成签到,获得积分10
6秒前
dandelion完成签到,获得积分10
6秒前
Zp发布了新的文献求助10
7秒前
7秒前
Achhz发布了新的文献求助10
8秒前
9秒前
nicole发布了新的文献求助10
9秒前
RJ发布了新的文献求助10
10秒前
10秒前
ycp完成签到,获得积分0
12秒前
负责念梦发布了新的文献求助10
12秒前
hxy90发布了新的文献求助200
12秒前
善良雅旋完成签到,获得积分10
13秒前
wenrui完成签到 ,获得积分10
15秒前
FanWoo发布了新的文献求助10
15秒前
15秒前
就是现在完成签到 ,获得积分20
15秒前
李健应助nanye采纳,获得10
16秒前
苦柒完成签到,获得积分10
17秒前
顺心飞扬完成签到,获得积分10
17秒前
17秒前
烟花应助洁净代容采纳,获得10
20秒前
wang完成签到 ,获得积分10
20秒前
英姑应助洁净代容采纳,获得10
20秒前
Akim应助FanWoo采纳,获得10
21秒前
曾俊宇完成签到 ,获得积分10
21秒前
SciGPT应助十六采纳,获得10
22秒前
负责念梦完成签到,获得积分10
23秒前
啦啦啦发布了新的文献求助10
24秒前
想学完成签到,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7593665
求助须知:如何正确求助?哪些是违规求助? 9170792
关于积分的说明 19629743
捐赠科研通 7171463
什么是DOI,文献DOI怎么找? 3267626
关于科研通互助平台的介绍 2432453
邀请新用户注册赠送积分活动 2260285