Effects of early phase 1 cardiac rehabilitation on cardiac function evaluated by impedance cardiography in patients with coronary heart disease and acute heart failure

Wang, Yishu; Xiao, Yanchao; Tang, Jianjun; Liu, Yutao; Li, Hui; Peng, Zengjin; Xu, Dan-Yan; Shen, Li

doi:10.3389/fcvm.2022.958895

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…After analyzing the recorded indices, it is found that the mean values of the inotropic state index (ISI), ejection phase contractility index (EPCI) and left stroke work index (LSWI) are reduced in heart failure patients. Furthermore, ICG technology were used to measure hemodynamic parameters to investigate the phase I cardiac rehabilitation (CR) effect on subjects with acute heart failure (AHF) and coronary heart disease (CHD) ( Wang et al, 2022 ). Results in this work showed ameliorating in preload, systolic and diastolic functionality improvements, elevating cardiac output, and afterload relieving.…”

Section: Non-invasive Sensing Technologies Used For Heart Failure Sys...mentioning

confidence: 99%

“…The first group focuses on techniques that allow for a subtle investigation of cardiac dynamics through indirect patient contact ( Piccini and Patrick, 2007 ). The ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmography (PPG), impedance cardiography (ICG), and other crucial techniques in this field ( Aydemir et al, 2019 ; KAVAS and BOZKURT, 2022 ; Wang et al, 2022 ). These methods capture physiological signals coming from the cardiovascular system using a variety of non-invasive technologies.…”

Section: Introductionmentioning

confidence: 99%

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Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: a scoping review

Al Younis,

Hadjileontiadis,

Stefanini

et al. 2023

Front. Bioeng. Biotechnol.

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The growing global prevalence of heart failure (HF) necessitates innovative methods for early diagnosis and classification of myocardial dysfunction. In recent decades, non-invasive sensor-based technologies have significantly advanced cardiac care. These technologies ease research, aid in early detection, confirm hemodynamic parameters, and support clinical decision-making for assessing myocardial performance. This discussion explores validated enhancements, challenges, and future trends in heart failure and dysfunction modeling, all grounded in the use of non-invasive sensing technologies. This synthesis of methodologies addresses real-world complexities and predicts transformative shifts in cardiac assessment. A comprehensive search was performed across five databases, including PubMed, Web of Science, Scopus, IEEE Xplore, and Google Scholar, to find articles published between 2009 and March 2023. The aim was to identify research projects displaying excellence in quality assessment of their proposed methodologies, achieved through a comparative criteria-based rating approach. The intention was to pinpoint distinctive features that differentiate these projects from others with comparable objectives. The techniques identified for the diagnosis, classification, and characterization of heart failure, systolic and diastolic dysfunction encompass two primary categories. The first involves indirect interaction with the patient, such as ballistocardiogram (BCG), impedance cardiography (ICG), photoplethysmography (PPG), and electrocardiogram (ECG). These methods translate or convey the effects of myocardial activity. The second category comprises non-contact sensing setups like cardiac simulators based on imaging tools, where the manifestations of myocardial performance propagate through a medium. Contemporary non-invasive sensor-based methodologies are primarily tailored for home, remote, and continuous monitoring of myocardial performance. These techniques leverage machine learning approaches, proving encouraging outcomes. Evaluation of algorithms is centered on how clinical endpoints are selected, showing promising progress in assessing these approaches’ efficacy.

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Section: Non-invasive Sensing Technologies Used For Heart Failure Sys...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: a scoping review

Al Younis,

Hadjileontiadis,

Stefanini

et al. 2023

Front. Bioeng. Biotechnol.

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The prognostic value of systemic vascular resistance in heart failure patients with permanent atrial fibrillation: a retrospective study

Jing,

Zhang,

Ding

et al. 2023

Heart Vessels

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Heart failure (HF) and permanent atrial fibrillation (AF) interact mutually, exacerbating hemodynamic effects and causing adverse outcomes and increased healthcare costs. Monitoring hemodynamic indicators in patients with these comorbidities is crucial for effective clinical management. Transthoracic impedance cardiography (ICG) has been widely employed in assessing hemodynamic status in clinical settings. Given the limited research on the prognostic significance of ICG parameters in HF with permanent AF, we undertook this study. A total of 66 HF patients with permanent AF were included in this retrospective study, and the primary outcome was rehospitalization due to worsening HF within 180-day post-discharge. Cox regression analysis was performed to explore the connection between ICG-evaluated parameters and the outcome risk. Receiver operating characteristic (ROC) curve analysis determined the optimal cutoff values of risk factors, subsequently applied in plotting Kaplan Meier (KM) survival curves. Multivariate Cox regression analysis revealed that systemic vascular resistance (SVR) both on admission and at discharge independently predicted rehospitalization for worsening HF. ROC analysis established optimal SVR cutoff values: 320.89 (kPa s/L) on admission and 169.94 (kPa s/L) at discharge (sensitivity 70%, specificity 94.4%, area under the curve (AUC) 0.831, respectively, sensitivity 90%, specificity 55.6%, AUC 0.742). KM survival curves analysis showed that patients with SVR > 320.89 (kPa s/L) on admission had an 8.14-fold (P < 0.001) increased risk of the end-point event compared with those with SVR ≤ 320.89 (kPa s/L). Similarly, patients with SVR > 169.94 (kPa s/L) at discharge faced a risk elevated by 6.57 times (P = 0.002) relative to those with SVR ≤ 169.94 (kPa s/L). In HF patients with permanent AF, SVR measured by ICG emerges as an independent risk factor and clinical predictor for HF deterioration-related readmission within 180 days after discharge. Higher SVR levels, both upon admission and at discharge, correlate with an incremental rehospitalization risk.

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Effects of early phase 1 cardiac rehabilitation on cardiac function evaluated by impedance cardiography in patients with coronary heart disease and acute heart failure

Cited by 2 publications

References 42 publications

Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: a scoping review

Non-invasive technologies for heart failure, systolic and diastolic dysfunction modeling: a scoping review

The prognostic value of systemic vascular resistance in heart failure patients with permanent atrial fibrillation: a retrospective study

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