Dataset Information

Characterization of cardiac acoustic biomarkers in patients with heart failure.

ABSTRACT: BACKGROUND:The wearable cardioverter defibrillator (WCD) records electrocardiograms and cardiohemic vibrations that can be algorithmically combined to provide cardiac acoustic biomarkers (CABs). We characterized CAB variability, diurnal variations, and changes over time among heart failure patients. METHODS:Wearable cardioverter defibrillator heart failure patients who had CAB recordings from March 2015 to July 2017 were included. CAB parameters included: electromechanical activation time (EMAT), EMATc (EMAT/RR interval), left ventricular systolic time (LVST), LVSTc (LVST/RR interval), S3 and S4 strengths, and systolic dysfunction index (SDI). Descriptive statistics, correlation analysis, and analysis of variance were used to report temporal and clinical associations. RESULTS:One thousand and sixty-six WCD patients met the study criteria. Diastolic CAB parameters showed significantly greater intra-subject variability than systolic CAB parameters (>29% vs. <15%, p < .01). CAB parameters varied very little with age, gender, and ejection fraction (R2 = 0.004 to 0.06) in this heart failure population. Similarly, all CABs except SDI (R2 = 0.58) were independent of QRS duration, (R2 = -0.01 to 0.58). Heart rate had a more of significant influence on the systolic CABs than the diastolic CABs (p < .05). CABs were significantly different when measured at daytime versus nighttime (p < .01) and were significantly lower at the end of WCD wear compared with the beginning of wear (p < .05). CONCLUSIONS:Noninvasive CABs offer the possibility to assess parameters associated with LV function, clinical status, and other aspects of cardiovascular physiology that differ between normal and heart failure states. The present study provides critical information about typical values in heart failure patients, intra-subject variability, circadian rhythms, and changes over time of these parameters.

SUBMITTER: Burkhoff D

PROVIDER: S-EPMC7358835 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Characterization of cardiac acoustic biomarkers in patients with heart failure.

Burkhoff Daniel D Bailey Grant G Gimbel J Rod JR

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc 20191016 2

<h4>Background</h4>The wearable cardioverter defibrillator (WCD) records electrocardiograms and cardiohemic vibrations that can be algorithmically combined to provide cardiac acoustic biomarkers (CABs). We characterized CAB variability, diurnal variations, and changes over time among heart failure patients.<h4>Methods</h4>Wearable cardioverter defibrillator heart failure patients who had CAB recordings from March 2015 to July 2017 were included. CAB parameters included: electromechanical activat ...[more]

PMID: 31617647

Similar Datasets

Project description:AimsThe importance of true worsening renal failure (WRF), which is associated with a poor prognosis, had been suggested in patients with acute heart failure (AHF). The aim of the present study was to establish the biomarker strategy for the prediction of true WRF in AHF.Methods and resultsTwo hundred eighty-one patients with AHF were analysed. Their biomarkers were measured within 30 min of admission. Patients were assigned to the non-WRF (n = 168), pseudo-WRF (n = 56), or true-WRF (n = 57) groups using the criteria of both acute kidney injury on admission and increasing serum creatinine value during the first 7 days. A Kaplan-Meier curve showed that the survival and heart failure event rate of the true-WRF group within 1000 days was significantly lower than that of the non-WRF and pseudo-WRF groups (P ≤ 0.001). The multivariate Cox regression model also indicated that true WRF was an independent predictor of 1000 day mortality and heart failure events [hazard ratio: 4.315, 95% confidence interval (CI): 2.466-7.550, P ≤ 0.001, and hazard ratio: 2.834, 95% CI: 1.893-4.243, P ≤ 0.001, respectively]. The serum heart-type fatty acid-binding protein (s-HFABP) levels were significantly higher in the true-WRF group than in the non-WRF and pseudo-WRF groups (P ≤ 0.001). The multivariate logistic regression model indicated that the predictive biomarker for the true-WRF group was the s-HFABP level (odds ratio: 5.472, 95% CI: 2.729-10.972, P ≤ 0.001). The sensitivity and specificity for indicating the presence of true WRF were 73.7% and 76.8% (area under the curve = 0.831) for s-HFABP in whole patients, respectively, and 94.7% and 72.7% (area under the curve = 0.904) in non-chronic kidney disease (CKD) patients, respectively.ConclusionsCardiac biomarkers, especially the s-HFABP, might predict the development of true WRF in AHF patients. Furthermore, the predictive value was higher in AHF patients without CKD than in those with CKD.

Project description:AimsChanges in echocardiographic parameters and biomarkers of cardiac and venous pressures or estimated plasma volume during hospitalization associated with decongestive treatments in acute heart failure (AHF) patients with either preserved left ventricular ejection fraction (LVEF) (HFPEF) or reduced LVEF (HFREF) are poorly assessed.Methods and resultsFrom the metabolic road to diastolic heart failure: diastolic heart failure (MEDIA-DHF) study, 111 patients were included in this substudy: 77 AHF (43 HFPEF and 34 HFREF) and 34 non-cardiac dyspnea patients. Echocardiographic measurements and blood samples were obtained within 4 h of presentation at the emergency department and before hospital discharge. In AHF patients, echocardiographic indices of cardiac and venous pressures, including inferior vena cava diameter [from 22 (16-24) mm to 13 (11-18) mm, P = 0.009], its respiratory variability [from 32 (8-44) % to 43 (29-70) %, P = 0.04], medial E/e' [from 21.1 (15.8-29.6) to 16.6 (11.7-24.3), P = 0.004], and E wave deceleration time [from 129 (105-156) ms to 166 (128-203) ms, P = 0.003], improved during hospitalization, similarly in HFPEF and HFREF patients. By contrast, no changes were seen in non-cardiac dyspnea patients. In AHF patients, all plasma biomarkers of cardiac and venous pressures, namely B-type natriuretic peptide [from 935 (514-2037) pg/mL to 308 (183-609) pg/mL, P < 0.001], mid-regional pro-atrial natriuretic peptide [from 449 (274-653) pmol/L to 366 (242-549) pmol/L, P < 0.001], and soluble CD-146 levels [from 528 (406-654) ng/mL to 450 (374-529) ng/mL, P = 0.003], significantly decreased during hospitalization, similarly in HFPEF and HFREF patients. Echocardiographic parameters of cardiac chamber dimensions [left ventricular end-diastolic volume: from 120 (76-140) mL to 118 (95-176) mL, P = 0.23] and cardiac index [from 2.1 (1.6-2.6) mL/min/m2 to 1.9 (1.4-2.4) mL/min/m2 , P = 0.55] were unchanged in AHF patients, except tricuspid annular plane systolic excursion (TAPSE) that improved during hospitalization [from 16 (15-19) mm to 19 (17-21) mm, P = 0.04]. Estimated plasma volume increased in both AHF [from 4.8 (4.2-5.6) to 5.1 (4.4-5.8), P = 0.03] and non-cardiac dyspnea patients (P = 0.01). Serum creatinine [from 1.18 (0.90-1.53) to 1.19 (0.86-1.70) mg/dL, P = 0.89] and creatinine-based estimated glomerular filtration rate [from 59 (40-75) mL/min/1.73m2 to 56 (38-73) mL/min/1.73m2 , P = 0.09] were similar, while plasma cystatin C [from 1.50 (1.20-2.27) mg/L to 1.78 (1.33-2.59) mg/L, P < 0.001] and neutrophil gelatinase associated lipocalin (NGAL) [from 127 (95-260) ng/mL to 167 (104-263) ng/mL, P = 0.004] increased during hospitalization in AHF.ConclusionsEchocardiographic parameters and plasma biomarkers of cardiac and venous pressures improved during AHF hospitalization in both acute HFPEF and HFREF patients, while cardiac chamber dimensions, cardiac output, and estimated plasma volume showed minimal changes.

Dataset Information

Characterization of cardiac acoustic biomarkers in patients with heart failure.

Publications

Characterization of cardiac acoustic biomarkers in patients with heart failure.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets