Bedside prediction of increased filling pressure using acoustic electrocardiography

Reviving the origins: acoustic biomarkers of heart failure with preserved ejection fraction

“…Another appealing aspect of acoustic cardiography is that the reported alterations in acoustic features can be directly linked to pathophysiological processes characteristic of HF, such as frequencies of S1 are directly proportional to LV elasticity and inversely proportional to LV mass, 8 the prolongation of QS1 implies slower myocardial force development and elevated atrial pressure, and an audible S4 usually indicates a forceful left atrial contraction combined with reduced LV compliance and hence provides a direct clue of diastolic dysfunction. 9 , 10 Thus, acoustic cardiography has a true potential to detect not only LV systolic dysfunction 11 , 12 but also Doppler-based 13 and invasively measured elevated filling pressures. 12 , 14 Nevertheless, the diagnostic power of most parameters is still far from perfect.…”

Investigation of Acoustic Cardiographic Parameters before and after Hemodialysis

“…Audicor acoustic cardiography is a simple technique in which cardiac acoustic data is synchronized with electrocardiography recordings to provide a comprehensive assessment of both mechanical and electronic functions of the heart [10]. Previous studies have reported that acoustic cardiography can be used as a noninvasive method to detect LV systolic dysfunction [11–17] and increase LV filling pressure [18, 19]. Acoustic cardiography has also been used to detect heart failure and ischemic heart disease, LV hypertrophy, constrictive pericarditis, sleep apnea, and ventricular fibrillation [10].…”

Utility of a bedside acoustic cardiographic model to predict elevated left ventricular filling pressure

“…We have previously evaluated the use of computerised acoustic cardiography for the detection of echocardiographic measures of elevated LV filling pressure 3. In a combined cohort of 311 inpatients and outpatients with acute heart failure as well as inpatients with acute coronary syndromes, we found that when mean LV systolic time, QTc interval, S3 score and negative area of the P wave were combined in a logistic regression model and used to estimate the probability of elevated filling pressure, the area under the receiver operating characteristic curve (AUC) was 0.83.…”