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在临床心血管磁共振成像中,远程心肌纤维化可预测心肌梗死患者的不良预后。

Remote myocardial fibrosis predicts adverse outcome in patients with myocardial infarction on clinical cardiovascular magnetic resonance imaging.

作者信息

Black Nicholas, Bradley Joshua, Schelbert Erik B, Bonnett Laura J, Lewis Gavin A, Lagan Jakub, Orsborne Christopher, Brown Pamela F, Soltani Fardad, Fröjdh Fredrika, Ugander Martin, Wong Timothy C, Fukui Miho, Cavalcante Joao L, Naish Josephine H, Williams Simon G, McDonagh Theresa, Schmitt Matthias, Miller Christopher A

机构信息

Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK; Manchester University NHS Foundation Trust, Manchester, UK.

Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, Pittsburgh, Pennsylvania, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

J Cardiovasc Magn Reson. 2024;26(2):101064. doi: 10.1016/j.jocmr.2024.101064. Epub 2024 Jul 23.

Abstract

BACKGROUND

Heart failure (HF) most commonly occurs in patients who have had a myocardial infarction (MI), but factors other than MI size may be deterministic. Fibrosis of myocardium remote from the MI is associated with adverse remodeling. We aimed to 1) investigate the association between remote myocardial fibrosis, measured using cardiovascular magnetic resonance (CMR) extracellular volume fraction (ECV), and HF and death following MI, 2) identify predictors of remote myocardial fibrosis in patients with evidence of MI and determine the relationship with infarct size.

METHODS

Multicenter prospective cohort study of 1199 consecutive patients undergoing CMR with evidence of MI on late gadolinium enhancement. Median follow-up was 1133 (895-1442) days. Cox proportional hazards modeling was used to identify factors predictive of the primary outcome, a composite of first hospitalization for HF (HHF) or all-cause mortality, post-CMR. Linear regression modeling was used to identify determinants of remote ECV.

RESULTS

Remote myocardial fibrosis was a strong predictor of primary outcome (χ: 15.6, hazard ratio [HR]: 1.07 per 1% increase in ECV, 95% confidence interval [CI]: 1.04-1.11, p < 0.001) and was separately predictive of both HHF and death. The strongest predictors of remote ECV were diabetes, sex, natriuretic peptides, and body mass index, but, despite extensive phenotyping, the adjusted model R was only 0.283. The relationship between infarct size and remote fibrosis was very weak.

CONCLUSION

Myocardial fibrosis, measured using CMR ECV, is a strong predictor of HHF and death in patients with evidence of MI. The mechanisms underlying remote myocardial fibrosis formation post-MI remain poorly understood, but factors other than infarct size appear to be important.

摘要

背景

心力衰竭(HF)最常发生于曾患心肌梗死(MI)的患者,但除梗死面积外的其他因素可能起决定性作用。远离心肌梗死部位的心肌纤维化与不良重构相关。我们旨在:1)研究使用心血管磁共振成像(CMR)测量的细胞外容积分数(ECV)评估的远隔心肌纤维化与心肌梗死后心力衰竭和死亡之间的关联;2)确定有心肌梗死证据的患者远隔心肌纤维化的预测因素,并确定其与梗死面积的关系。

方法

对1199例连续接受CMR检查且有延迟钆增强心肌梗死证据的患者进行多中心前瞻性队列研究。中位随访时间为1133(895 - 1442)天。采用Cox比例风险模型确定预测主要结局(CMR检查后首次因心力衰竭住院[HHF]或全因死亡的复合结局)的因素。采用线性回归模型确定远隔ECV的决定因素。

结果

远隔心肌纤维化是主要结局的有力预测因素(χ:15.6,风险比[HR]:ECV每增加1%为1.07,95%置信区间[CI]:1.04 - 1.11,p < 0.001),且分别对HHF和死亡有预测作用。远隔ECV的最强预测因素为糖尿病、性别、利钠肽和体重指数,但尽管进行了广泛的表型分析,调整后的模型R仅为0.283。梗死面积与远隔纤维化之间的关系非常弱。

结论

使用CMR的ECV测量的心肌纤维化是有心肌梗死证据患者发生HHF和死亡的有力预测因素。心肌梗死后远隔心肌纤维化形成的潜在机制仍知之甚少,但梗死面积以外的因素似乎很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb7f/11347049/fab1f29a9ce6/gr1.jpg

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