Incremental prognostic utility of left ventricular and left atrial strains in coronary artery disease patients with reduced systolic function

射血分数 心脏病学 内科学 医学 危险系数 冠状动脉疾病 心肌梗塞 心力衰竭 比例危险模型 斑点追踪超声心动图 临床终点 置信区间 临床试验
作者
Shirui Lu,Ying Yan Zhu,Wei Zhou,Jun Zhang,You‐Bin Deng,Yani Liu
出处
期刊:Echocardiography-a Journal of Cardiovascular Ultrasound and Allied Techniques [Wiley]
卷期号:41 (1): e15740-e15740 被引量:2
标识
DOI:10.1111/echo.15740
摘要

OBJECTIVE: This study aimed to investigate the predictive value of left ventricular global longitudinal strain (GLS) and left atrial reservoir strain (LARS) on adverse events in chronic coronary artery disease (CAD) patients with reduced systolic function. METHODS: A total of 192 consecutive patients clinically diagnosed with chronic CAD and left ventricular ejection fraction (LVEF) ≤ 50% were finally included. Multiple strain parameters were analyzed with speckle tracking echocardiography. The composite endpoint included all-cause mortality, rehospitalization due to heart failure, myocardial infarction, and stroke. RESULTS: Patients experiencing the endpoint showed lower LVEF, lower absolute GLS and LARS than those without events. Both GLS (AUC = 0.82 [GLS] vs. 0.58 [LVEF], p < 0.001) and LARS (AUC = 0.71 [LARS] vs. 0.58 [LVEF], p = 0.033) were superior to LVEF in predicting adverse events. Multivariate cox regression analysis showed that both GLS (hazard ratio, 0.71; 95% CI, 0.63-0.79; p < 0.001) and LARS (hazard ratio, 0.96; 95% CI, 0.93-0.98; p < 0.001) were independent predictors for the endpoint. The addition of LARS (global chi-squared, 35.7 vs. 17.4; p < 0.05), GLS (global chi-squared, 58.6 vs. 17.4; p < 0.05) or both LARS and GLS (global chi-squared, 79.6 vs. 17.4; p < 0.05) to LVEF in the prediction model significantly improved its performance. The same significant improvement was also shown in the subgroups of mild (30% < LVEF ≤ 50%) and severe (LVEF ≤ 30%) reduced systolic function. CONCLUSIONS: Regarding CAD patients with reduced LVEF, both GLS and LARS are superior to LVEF in predicting adverse events, providing significant incremental value to LVEF.
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