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.
BACKGROUND: Low left ventricular ejection fraction (LVEF) and the presence of restrictive LV filling pattern are poor prognosticators in heart failurepatients 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.