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亚临床左房功能障碍谱预测普通人群的心脏结局。

Subclinical left atrial dysfunction profiles for prediction of cardiac outcome in the general population.

机构信息

Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.

Stanford Cardiovascular Institute, Department of Medicine, Stanford University, California, USA.

出版信息

J Hypertens. 2020 Dec;38(12):2465-2474. doi: 10.1097/HJH.0000000000002572.

Abstract

OBJECTIVE

Echocardiographic definitions of subclinical left atrial dysfunction based on epidemiological data remain scarce. In this population study, we derived outcome-driven thresholds for echocardiographic left atrial function parameters discriminating between normal and abnormal values.

METHODS

In 1306 individuals (mean age, 50.7 years; 51.6% women), we echocardiographically assessed left atrial function and LV global longitudinal strain. We derived cut-off values for left atrial emptying fraction (LAEF), left atrial function index (LAFI) and left atrial reservoir strain (LARS) to define left atrial dysfunction using receiver-operating curve threshold analysis. Main outcome was the incidence of cardiac events and atrial fibrillation (AFib) on average 8.5 years later.

RESULTS

For prediction of new-onset AFib, left atrial cut-offs yielding the best balance between sensitivity and specificity (highest Youden index) were: LAEF less than 55%, LAFI less than 40.5 and LARS less than 23%. Applying these cut-offs, abnormal LAEF, LAFI and LARS were, respectively, present in 27, 37.1 and 18.1% of the cohort. Abnormal LARS (<23%) was independently associated with higher risk for cardiac events and new-onset AFib (P ≤ 0.012). Participants with both abnormal LAEF and LARS presented a significantly higher risk to develop cardiac events (hazard ratio: 2.10; P = 0.014) and AFib (hazard ratio: 6.45; P = 0.0036) than normal counterparts. The concomitant presence of an impaired LARS and LV global longitudinal strain improved prognostic accuracy beyond a clinical risk model for cardiac events and the CHARGE-AF Risk Score for AFib.

CONCLUSION

Left atrial dysfunction based on outcome-driven thresholds predicted cardiac events and AFib independent of conventional risk factors. Screening for subclinical left atrial and LV systolic dysfunction may enhance cardiac disease prediction in the community.

摘要

目的

基于流行病学数据的超声心动图亚临床左心房功能定义仍然很少。在这项人群研究中,我们得出了区分正常和异常值的超声心动图左心房功能参数的基于结果的阈值。

方法

在 1306 名个体(平均年龄 50.7 岁;51.6%为女性)中,我们对左心房功能和左心室整体纵向应变进行了超声心动图评估。我们使用接收者操作曲线阈值分析为左心房排空分数(LAEF)、左心房功能指数(LAFI)和左心房储备应变(LARS)得出了用于定义左心房功能障碍的截断值。主要结局是平均 8.5 年后发生的心脏事件和心房颤动(AFib)的发生率。

结果

对于新发 AFib 的预测,LAEF 小于 55%、LAFI 小于 40.5 和 LARS 小于 23%,这些截断值在敏感性和特异性(最高 Youden 指数)之间取得了最佳平衡。应用这些截断值,异常的 LAEF、LAFI 和 LARS 分别存在于队列中的 27%、37.1%和 18.1%。异常的 LARS(<23%)与心脏事件和新发 AFib 的较高风险独立相关(P ≤ 0.012)。同时存在异常的 LAEF 和 LARS 的患者发生心脏事件(危险比:2.10;P = 0.014)和 AFib(危险比:6.45;P = 0.0036)的风险显著高于正常对照者。LARS 受损和左心室整体纵向应变的同时存在提高了心脏事件和 AFib 的临床风险模型以及 CHARGE-AF 风险评分的预后准确性。

结论

基于结果驱动的阈值的左心房功能障碍预测了心脏事件和 AFib,独立于传统的危险因素。筛查亚临床左心房和左心室收缩功能障碍可能会提高社区中的心脏疾病预测能力。

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