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超声心动图快速床边识别射血分数降低的心力衰竭高危人群。

Rapid bedside identification of high-risk population in heart failure with reduced ejection fraction by acoustic cardiography.

机构信息

Division of cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Li Ka Shing Institute of Health and Sciences, Institute of Vascular Medicine, The Chinese University of Hong Kong, Hong Kong, China.

出版信息

Int J Cardiol. 2013 Oct 3;168(3):1881-6. doi: 10.1016/j.ijcard.2012.12.064. Epub 2013 Jan 24.

Abstract

BACKGROUND

Low left ventricular ejection fraction (LVEF) and the presence of restrictive LV filling pattern are poor prognosticators in heart failure patients with reduced EF (HFREF). We sought to investigate whether acoustic cardiography can identify these high-risk HFREF subgroups.

METHODS

A total of 127 HFREF patients (EF<50%) were enrolled into our study. All patients underwent acoustic cardiographic and echocardiographic examinations. Acoustic cardiographic parameters included S3 score (probability that the third heart sound exists), electromechanical activation time (EMAT, interval from Q wave to the first heart sound; %EMAT is the proportion of cardiac cycle that EMAT occupies), and systolic dysfunction index (SDI, a derived variable from the combination of %EMAT, S3 score, QRS duration and QR interval). Receiver operating characteristic curves were used to determine diagnostic utility of acoustic cardiography.

RESULTS

SDI discriminated (area under curve [AUC], 0.79; 95% confidence interval [CI], 0.71-0.87) patients with severely impaired EF (EF ≤ 35%) from those with moderately impaired EF (35%<EF<50%) with an SDI > 5 that yielded 87% sensitivity and 60% specificity. An S3 score>4 identified patients with restrictive LV filling pattern with 0.76 AUC (95% CI, 0.67-0.84), 81% sensitivity and 55% specificity.

CONCLUSIONS

SDI and S3 score obtained by acoustic cardiography identified HFREF patients with severely impaired systolic and diastolic function, respectively. This simple, bedside technology may be used as a screening tool to identify the sickest HFREF patients for more intensive therapy.

摘要

背景

左心室射血分数(LVEF)降低和左心室充盈受限模式的存在是射血分数降低心力衰竭(HFREF)患者预后不良的预测因素。我们试图研究声学心动图是否可以识别这些高危 HFREF 亚组。

方法

共纳入 127 例 HFREF 患者(EF<50%)。所有患者均接受声学心动图和超声心动图检查。声学心动图参数包括 S3 评分(第三心音存在的可能性)、机电激活时间(从 Q 波到第一心音的间隔;%EMAT 是机电激活时间占心动周期的比例)和收缩功能障碍指数(SDI,由%EMAT、S3 评分、QRS 持续时间和 QR 间隔组合而成的派生变量)。使用受试者工作特征曲线确定声学心动图的诊断效用。

结果

SDI 区分(曲线下面积 [AUC],0.79;95%置信区间 [CI],0.71-0.87)严重 EF 受损(EF ≤ 35%)患者与中度 EF 受损(35%<EF<50%)患者,SDI>5 的患者具有 87%的敏感性和 60%的特异性。S3 评分>4 可识别左心室充盈受限模式的患者,AUC 为 0.76(95%CI,0.67-0.84),敏感性为 81%,特异性为 55%。

结论

声学心动图获得的 SDI 和 S3 评分分别识别出 HFREF 患者存在严重的收缩和舒张功能障碍。这种简单的床边技术可作为筛选工具,识别最严重的 HFREF 患者,以便进行更强化的治疗。

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