Active Left Atrial Ejection Fraction as a Non-Invasive Marker in Pulmonary Hypertension Secondary to Heart Failure.

IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiovascular Magnetic Resonance Pub Date : 2024-09-25 DOI:10.1016/j.jocmr.2024.101105
Di Zhou, Xin Li, Jing Xu, Yining Wang, Weichun Wu, Arlene Sirajuddin, Shihua Zhao, Zhihong Liu, Minjie Lu
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Abstract

Background: Patients with pulmonary hypertension (PH) secondary to left heart failure (HF) exhibit a complex pathophysiological profile and poor prognosis. Left atrial function is pivotal in the progression of this disease, yet its predictive significance remains exclusive. This study aimed to explore the predictive capability of LA metrics in this population and compare them with other common predictors.

Methods: In this retrospective study, consecutive patients with PH secondary to HF who underwent cardiac magnetic resonance (CMR) imaging between December 2010 and December 2021 were enrolled. The composite endpoint was defined as all-cause death, heart-lung transplantation, or left ventricular assist device implantation. Survival analyses were performed using Kaplan-Meier curves and Cox regression analyses.

Results: A total of 174 patients with PH secondary to HF, with a mean age of 53.2 ± 14.9 years, including 90 men, were included in the final analysis. During a median follow-up of 31.9 months, 58 patients (33.3%) with PH reached the endpoints. There was a fair correlation between active left atrial ejection fraction (LAEF) and pulmonary artery wedge pressure (r = -0.397, p = 0.044). Active LAEF had a strong correlation with oxygen consumption at anaerobic threshold (r = 0.769, p < 0.001) and peak oxygen consumption (r = 0.754, p < 0.001). Active LAEF demonstrated comparable prognostic performance to other variables measured by echocardiography or CMR. After adjusting for clinical variables and left ventricular ejection fraction, active LAEF was still an independent predictor for adverse events (C-statistic: 0.784). Subgroup analysis among HF patients with preserved ejection fraction demonstrated that those with active LAEF ≤ 8.6% had a 7.05-fold higher risk of experiencing the composite endpoint compared to those with active LAEF > 8.6%.

Conclusion: Although active LAEF does not demonstrate statistical improvement in outcome discrimination compared to established metrics, it may still merit consideration for assessing disease severity and prognosis in patients with PH secondary to HF. The integration of active LAEF and HF subtypes may stratify individuals at different levels of risk.

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活性左心房射血分数作为继发于心力衰竭的肺动脉高压的非侵入性标记。
背景:继发于左心衰竭(HF)的肺动脉高压(PH)患者表现出复杂的病理生理学特征,预后较差。左心房功能在这一疾病的进展中起着关键作用,但其预测意义仍不明显。本研究旨在探讨 LA 指标在这一人群中的预测能力,并将其与其他常见的预测指标进行比较:在这项回顾性研究中,纳入了在 2010 年 12 月至 2021 年 12 月期间接受心脏磁共振(CMR)成像的 PH 继发于 HF 的连续患者。综合终点定义为全因死亡、心肺移植或左心室辅助装置植入。采用卡普兰-梅耶曲线和考克斯回归分析法进行生存分析:最终分析共纳入174名继发于心房颤动的PH患者,平均年龄为(53.2±14.9)岁,其中包括90名男性。在31.9个月的中位随访期间,58名PH患者(33.3%)达到了终点。活动性左心房射血分数(LAEF)与肺动脉楔压之间存在较好的相关性(r = -0.397,p = 0.044)。有源 LAEF 与无氧阈值耗氧量(r = 0.769,p < 0.001)和峰值耗氧量(r = 0.754,p < 0.001)有很强的相关性。活性 LAEF 在预后方面的表现与超声心动图或 CMR 测量的其他变量相当。在对临床变量和左心室射血分数进行调整后,活性 LAEF 仍是不良事件的独立预测因子(C 统计量:0.784)。对射血分数保留的心房颤动患者进行的亚组分析表明,与活性 LAEF > 8.6% 的患者相比,活性 LAEF ≤ 8.6% 的患者出现综合终点的风险高出 7.05 倍:尽管与已有指标相比,主动 LAEF 在结果判别方面并无统计学改善,但仍值得考虑用于评估 PH 继发于 HF 患者的疾病严重程度和预后。整合活性 LAEF 和心房颤动亚型可对不同风险水平的个体进行分层。
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来源期刊
CiteScore
10.90
自引率
12.50%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to: New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system. New methods to enhance or accelerate image acquisition and data analysis. Results of multicenter, or larger single-center studies that provide insight into the utility of CMR. Basic biological perceptions derived by CMR methods.
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