Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients

Objective. This prospective study aimed to evaluate the value of the cardiac cycle time-corrected electromechanical activation time (EMATc) measured at admission for predicting major cardiac adverse events (MACEs) in hospitalized patients with chronic heart failure (CHF). Methods. CHF patients with...

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Main Authors: Jing Zhang, Wen-Xian Liu, Shu-Zheng Lyu
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Cardiovascular Therapeutics
Online Access:http://dx.doi.org/10.1155/2020/4532596
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spelling doaj-b4586a8948e542d580abdba0a9e155f62020-11-25T02:47:37ZengHindawi-WileyCardiovascular Therapeutics1755-59141755-59222020-01-01202010.1155/2020/45325964532596Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure PatientsJing Zhang0Wen-Xian Liu1Shu-Zheng Lyu2Division of Cardiology, Coronary Care Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, ChinaDivision of Cardiology, Coronary Care Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, ChinaDivision of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, ChinaObjective. This prospective study aimed to evaluate the value of the cardiac cycle time-corrected electromechanical activation time (EMATc) measured at admission for predicting major cardiac adverse events (MACEs) in hospitalized patients with chronic heart failure (CHF). Methods. CHF patients with a left ventricular ejection fraction (LVEF) lower than 50% N=145 were enrolled in this study. Documented clinical end-points (MACEs) included cardiogenic death, onset of acute HF as assessed with invasive and noninvasive mechanical ventilation, and cardiogenic shock. According to the different clinical end-points, patients were divided into two groups: a MACE group n=22 and a nonMACE group n=123. EMATc, LVEF, and circulating levels of B type natriuretic peptide (BNP) and Troponin I (TnI) were measured. Multivariate logistic regression analysis was used to examine the association between EMATc and MACEs. The parameters adjusted in the multivariable model included EMATc, BNP, and heart rate. The predictive value of EMATc was evaluated by receiver operating characteristic (ROC) curve analysis. Results. Elevated EMATc was an independent risk factor for MACEs (odds ratio [OR] 1.1443, 95% confidence interval [CI] 1.016–1.286, P=0.027). The area under the ROC curve for EMATc was 0.799 (95% CI 0.702–0.896, P<0.001). The optimal cutoff EMATc value was >13.8% with a sensitivity of 81.8% and a specificity of 65.9%. Conclusions. We demonstrated that an elevated EMATc measured at admission is an independent risk factor for MACEs among hospitalized CHF patients. Acoustic cardiography measured at admission may provide a simple, noninvasive method for risk stratification of CHF patients. This trial is registered with ChiCTR1900021470.http://dx.doi.org/10.1155/2020/4532596
collection DOAJ
language English
format Article
sources DOAJ
author Jing Zhang
Wen-Xian Liu
Shu-Zheng Lyu
spellingShingle Jing Zhang
Wen-Xian Liu
Shu-Zheng Lyu
Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
Cardiovascular Therapeutics
author_facet Jing Zhang
Wen-Xian Liu
Shu-Zheng Lyu
author_sort Jing Zhang
title Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
title_short Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
title_full Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
title_fullStr Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
title_full_unstemmed Predictive Value of Electromechanical Activation Time for In-Hospital Major Cardiac Adverse Events in Heart Failure Patients
title_sort predictive value of electromechanical activation time for in-hospital major cardiac adverse events in heart failure patients
publisher Hindawi-Wiley
series Cardiovascular Therapeutics
issn 1755-5914
1755-5922
publishDate 2020-01-01
description Objective. This prospective study aimed to evaluate the value of the cardiac cycle time-corrected electromechanical activation time (EMATc) measured at admission for predicting major cardiac adverse events (MACEs) in hospitalized patients with chronic heart failure (CHF). Methods. CHF patients with a left ventricular ejection fraction (LVEF) lower than 50% N=145 were enrolled in this study. Documented clinical end-points (MACEs) included cardiogenic death, onset of acute HF as assessed with invasive and noninvasive mechanical ventilation, and cardiogenic shock. According to the different clinical end-points, patients were divided into two groups: a MACE group n=22 and a nonMACE group n=123. EMATc, LVEF, and circulating levels of B type natriuretic peptide (BNP) and Troponin I (TnI) were measured. Multivariate logistic regression analysis was used to examine the association between EMATc and MACEs. The parameters adjusted in the multivariable model included EMATc, BNP, and heart rate. The predictive value of EMATc was evaluated by receiver operating characteristic (ROC) curve analysis. Results. Elevated EMATc was an independent risk factor for MACEs (odds ratio [OR] 1.1443, 95% confidence interval [CI] 1.016–1.286, P=0.027). The area under the ROC curve for EMATc was 0.799 (95% CI 0.702–0.896, P<0.001). The optimal cutoff EMATc value was >13.8% with a sensitivity of 81.8% and a specificity of 65.9%. Conclusions. We demonstrated that an elevated EMATc measured at admission is an independent risk factor for MACEs among hospitalized CHF patients. Acoustic cardiography measured at admission may provide a simple, noninvasive method for risk stratification of CHF patients. This trial is registered with ChiCTR1900021470.
url http://dx.doi.org/10.1155/2020/4532596
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