103 research outputs found
3D finite element electrical model of larval zebrafish ECG signals
Assessment of heart function in zebrafish larvae using electrocardiography (ECG) is a potentially useful tool in developing cardiac treatments and the assessment of drug therapies. In order to better understand how a measured ECG waveform is related to the structure of the heart, its position within the larva and the position of the electrodes, a 3D model of a 3 days post fertilisation (dpf) larval zebrafish was developed to simulate cardiac electrical activity and investigate the voltage distribution throughout the body. The geometry consisted of two main components; the zebrafish body was modelled as a homogeneous volume, while the heart was split into five distinct regions (sinoatrial region, atrial wall, atrioventricular band, ventricular wall and heart chambers). Similarly, the electrical model consisted of two parts with the body described by Laplace’s equation and the heart using a bidomain ionic model based upon the Fitzhugh-Nagumo equations. Each region of the heart was differentiated by action potential (AP) parameters and activation wave conduction velocities, which were fitted and scaled based on previously published experimental results. ECG measurements in vivo at different electrode recording positions were then compared to the model results. The model was able to simulate action potentials, wave propagation and all the major features (P wave, R wave, T wave) of the ECG, as well as polarity of the peaks observed at each position. This model was based upon our current understanding of the structure of the normal zebrafish larval heart. Further development would enable us to incorporate features associated with the diseased heart and hence assist in the interpretation of larval zebrafish ECGs in these conditions
Prospective Evaluation of the Impact of Stress, Anxiety, and Depression on Household Income among Young Women with Early Breast Cancer from the Young and Strong Trial
Background: Young women with breast cancer tend to report lower quality of life and higher levels of stress than older women with breast cancer, and this may have implications for other psychosocial factors including finances. We sought to determine if stress, anxiety, and depression at diagnosis were associated with changes in household income over 12-months in young women with breast cancer in the United States.
Methods: This study was a prospective, longitudinal cohort study comprised of women enrolled in the Young and Strong trial. Of the 467 women aged 18–45 newly diagnosed with early-stage breast cancer enrolled in the Young and Strong trial from 2012 to 2013, 356 (76%) answered income questions. Change in household income from baseline to 12 months was assessed and women were categorized as having lost, gained, maintained the same household income \u3c100,000. Patient-reported stress, anxiety, and depression were assessed close to diagnosis at trial enrollment. Adjusted multinomial logistic regression models were used to compare women who lost, gained, or maintained household income ≥100,000.
Results: Although most women maintained household income ≥100,000 (32.3%), 15.4% lost household income and 15.2% gained household income. Stress, anxiety, and depression were not associated with gaining or losing household income compared to women maintaining household incomes \u3c50,000 had a higher risk of losing household income compared to women with household incomes ≥100,000 were less likely to report financial or insurance problems. Among women who lost household income, 56% reported financial problems and 20% reported insurance problems at 12 months.
Conclusions: Baseline stress, anxiety, and depression were not associated with household income changes for young women with breast cancer. However, lower baseline household income was associated with losing household income. Some young survivors encounter financial and insurance problems in the first year after diagnosis, and further support for these women should be considered
Clinical effectiveness of elective single versus double embryo transfer: meta-analysis of individual patient data from randomised trials
Clinical effectiveness of elective single versus double embryo transfer: meta-analysis of individual patient data from randomised trials
Objective To compare the effectiveness of elective single embryo transfer versus double embryo transfer on the outcomes of live birth, multiple live birth, miscarriage, preterm birth, term singleton birth, and low birth weight after fresh embryo transfer, and on the outcomes of cumulative live birth and multiple live birth after fresh and frozen embryo transfers
Maternal and neonatal risk factors for childhood type 1 diabetes: a matched case-control study
Peer reviewedPublisher PD
Effects of Electrical and Structural Remodeling on Atrial Fibrillation Maintenance: A Simulation Study
Atrial fibrillation, a common cardiac arrhythmia, often progresses unfavourably: in patients with long-term atrial fibrillation, fibrillatory episodes are typically of increased duration and frequency of occurrence relative to healthy controls. This is due to electrical, structural, and contractile remodeling processes. We investigated mechanisms of how electrical and structural remodeling contribute to perpetuation of simulated atrial fibrillation, using a mathematical model of the human atrial action potential incorporated into an anatomically realistic three-dimensional structural model of the human atria. Electrical and structural remodeling both shortened the atrial wavelength - electrical remodeling primarily through a decrease in action potential duration, while structural remodeling primarily slowed conduction. The decrease in wavelength correlates with an increase in the average duration of atrial fibrillation/flutter episodes. The dependence of reentry duration on wavelength was the same for electrical vs. structural remodeling. However, the dynamics during atrial reentry varied between electrical, structural, and combined electrical and structural remodeling in several ways, including: (i) with structural remodeling there were more occurrences of fragmented wavefronts and hence more filaments than during electrical remodeling; (ii) dominant waves anchored around different anatomical obstacles in electrical vs. structural remodeling; (iii) dominant waves were often not anchored in combined electrical and structural remodeling. We conclude that, in simulated atrial fibrillation, the wavelength dependence of reentry duration is similar for electrical and structural remodeling, despite major differences in overall dynamics, including maximal number of filaments, wave fragmentation, restitution properties, and whether dominant waves are anchored to anatomical obstacles or spiralling freely
Repaired tetralogy of Fallot: the roles of cardiovascular magnetic resonance in evaluating pathophysiology and for pulmonary valve replacement decision support
Surgical management of tetralogy of Fallot (TOF) results in anatomic and functional abnormalities in the majority of patients. Although right ventricular volume load due to severe pulmonary regurgitation can be tolerated for many years, there is now evidence that the compensatory mechanisms of the right ventricular myocardium ultimately fail and that if the volume load is not eliminated or reduced by pulmonary valve replacement the dysfunction might be irreversible. Cardiovascular magnetic resonance (CMR) has evolved during the last 2 decades as the reference standard imaging modality to assess the anatomic and functional sequelae in patients with repaired TOF. This article reviews the pathophysiology of chronic right ventricular volume load after TOF repair and the risks and benefits of pulmonary valve replacement. The CMR techniques used to comprehensively evaluate the patient with repaired TOF are reviewed and the role of CMR in supporting clinical decisions regarding pulmonary valve replacement is discussed
A three-dimensional human atrial model with fiber orientation. Electrograms and arrhythmic activation patterns relationship
The most common sustained cardiac arrhythmias in humans are atrial tachyarrhythmias, mainly atrial fibrillation. Areas of complex fractionated atrial electrograms and high dominant frequency have been proposed as critical regions for maintaining atrial fibrillation; however, there is a paucity of data on the relationship between the characteristics of electrograms and the propagation pattern underlying them. In this study, a realistic 3D computer model of the human atria has been developed to investigate this relationship. The model includes a realistic geometry with fiber orientation, anisotropic conductivity and electrophysiological heterogeneity. We simulated different tachyarrhythmic episodes applying both transient and continuous ectopic activity. Electrograms and their dominant frequency and organization index values were calculated over the entire atrial surface. Our simulations show electrograms with simple potentials, with little or no cycle length variations, narrow frequency peaks and high organization index values during stable and regular activity as the observed in atrial flutter, atrial tachycardia (except in areas of conduction block) and in areas closer to ectopic activity during focal atrial fibrillation. By contrast, cycle length variations and polymorphic electrograms with single, double and fragmented potentials were observed in areas of irregular and unstable activity during atrial fibrillation episodes. Our results also show: 1) electrograms with potentials without negative deflection related to spiral or curved wavefronts that pass over the recording point and move away, 2) potentials with a much greater proportion of positive deflection than negative in areas of wave collisions, 3) double potentials related with wave fragmentations or blocking lines and 4) fragmented electrograms associated with pivot points. Our model is the first human atrial model with realistic fiber orientation used to investigate the relationship between different atrial arrhythmic propagation patterns and the electrograms observed at more than 43000 points on the atrial surface.This work was partially supported by the Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica, Ministerio de Ciencia e Innovacion of Spain (TEC2008-02090), by the Plan Avanza (Accion Estrategica de Telecomunicaciones y Sociedad de la Informacion), Ministerio de Industria Turismo y Comercio of Spain (TSI-020100-2010-469), by the Programa Prometeo 2012 of the Generalitat Valenciana and by the Programa de Apoyo a la Investigacion y Desarrollo de la Universitat Politecnica de Valencia (PAID-06-11-2002). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Tobón Zuluaga, C.; Ruiz Villa, CA.; Heidenreich, E.; Romero Pérez, L.; Hornero, F.; Saiz Rodríguez, FJ. (2013). A three-dimensional human atrial model with fiber orientation. Electrograms and arrhythmic activation patterns relationship. PLoS ONE. 8(2):1-13. https://doi.org/10.1371/journal.pone.0050883S11382Ho SY, Sanchez-Quintana D, Anderson RH (1998) Can anatomy define electric pathways? In: International Workshop on Computer Simulation and Experimental Assessment of Electrical Cardiac Function, Lausanne, Switzerland. 77–86.Tobón C (2009) Evaluación de factores que provocan fibrilación auricular y de su tratamiento mediante técnicas quirúrgicas. Estudio de simulación. Master Thesis Universitat Politècnica de València.Ruiz C (2010) Estudio de la vulnerabilidad a reentradas a través de modelos matemáticos y simulación de la aurícula humana. Doctoral Thesis Universitat Politècnica de València.Tobón C (2010) Modelización y evaluación de factores que favorecen las arritmias auriculares y su tratamiento mediante técnicas quirúrgicas. Estudio de simulación. Doctoral Thesis Universitat Politècnica de València.Henriquez, C. S., & Papazoglou, A. A. (1996). Using computer models to understand the roles of tissue structure and membrane dynamics in arrhythmogenesis. Proceedings of the IEEE, 84(3), 334-354. doi:10.1109/5.486738Grimm, R. A., Chandra, S., Klein, A. L., Stewart, W. J., Black, I. W., Kidwell, G. A., & Thomas, J. D. (1996). Characterization of left atrial appendage Doppler flow in atrial fibrillation and flutter by Fourier analysis. American Heart Journal, 132(2), 286-296. doi:10.1016/s0002-8703(96)90424-xMaleckar, M. M., Greenstein, J. L., Giles, W. R., & Trayanova, N. A. (2009). K+ current changes account for the rate dependence of the action potential in the human atrial myocyte. American Journal of Physiology-Heart and Circulatory Physiology, 297(4), H1398-H1410. doi:10.1152/ajpheart.00411.200
Recovery of cardiac transmembrane potential from extracellular potential in two-dimensional anisotropic tissue
Abstract 16855: Left Ventricular Volumes, Stress, and Strain in Normal Children and Young Adults Measured by 3-Dimensional Echocardiography
Background:
3D echocardiography (3DE) is increasingly being used clinically to calculate ventricular volumes and function. Normal pediatric values of 3D LV volumes and strain are not well established; moreover, there are no reports of the stress-strain relationship (an index of contractility) based upon 3D technology in this cohort.
Methods:
3D LV datasets were obtained as part of routine echocardiographic examinations in eligible pediatric patients (≤ 21 years of age) between January 2014 and March 2015. Included patients had structurally normal hearts. Exclusion criteria included non-cardiac disorders with a potential impact on ventricular function and family history of cardiomyopathy. Image acquisition was performed using the Philips IE33 with X3/5/7 probes. Strain (3D; circumferential, GCS; and longitudinal, GLS) was analyzed according to a commercial 3D speckle-tracking analysis package (4D LV Analysis 3.1; Tomtec). LV mid-wall global average stress was calculated from the 3D LV volumes and 2D cross-sectional area/long-axis dimensions.
Results:
237 patients were included (age= 0.2 mo-21 y). The correlation between 3D and 2D LV mass and volumes was excellent (mass, R=0.94; end-diastolic volume, R=0.94; end-systolic volume, R=0.90; p<0.001 for all). Mean+-SD strain values (%) were: 3D=-33.9±2.8; GCS=-28.0 ± 3.1; GLS=-20.7 ± 3.0; only GLS varied significantly with age (R=0.26; p<0.001). Overall, 3D strain was inversely linearly related to wall stress (R=0.26; p<0.001); the strongest relationship was present in patients from age 0-5 years (R=0.48; p<0.01). When normalized to stress, absolute LV strain decreased with age (Figure 1: R=0.33; p<0.001).
Conclusions:
3DE may be used to calculate LV stress, strain, and volume parameters. Among strain parameters, age-related changes were seen only in GLS. Examination of the stress-strain relationship using these techniques may yield new insights into maturational changes in myocardial contractility.
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