Impact of moderate-intensity aerobic exercise training on sleep quality and cardiac structure and function in inactive obese girls

Background: Type 2 Diabetes mellitus (T2DM) and obesity are associated with subclinical abnormalities in left ventricular structure and function and an increased downstream risk for heart failure. Exercise training has been associated with significant improvement in cardiorespiratory fitness among these patients. However, its impact of cardiac structure and function is not well established. In this meta-analysis, we evaluated the effect of exercise training on the LV systolic and diastolic function in patients with T2DM or obesity. Methods: We included all randomized control trials (RCTs) that evaluated the effect of exercise training on cardiac structure and function among obese or T2DM patients. Primary outcome of interest was change in cardiorespiratory fitness (peak oxygen uptake, ml/kg/min) and measures of left ventricular systolic (global longitudinal strain) and diastolic function (early diastolic velocity, e`). Results: The study included 484 patients who were enrolled in 8 RCTs. In the pooled data analysis, patients with T2DM or obesity undergoing exercise training had significant improvements in peak oxygen uptake [Weighted Mean Difference (WMD): 1.30 (95%CI: 0.55 to 2.04)]. Among echocardiographic outcomes, exercise training participants had modest but statistically significant improvements in early diastolic velocity [WMD (95% CI): 0.46 (0.01 to 0.09)], and global longitudinal strain [WMD (95% CI): 0.62 (0.04 to 0.09)] as compared with control group participants (Figure). Conclusion: Exercise training in patients with T2DM or obesity is associated with a significant improvement in cardiorespiratory fitness and modest improvements in echocardiographic measures of systolic and diastolic function. These findings suggest that exercise training may improve subclinical systolic and diastolic dysfunction in patients at risk for HF in later life.

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Relation of Impaired Glucose Tolerance to Cardiac Structure and Function: The Strong Heart Study

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(97)88289-7 ◽

1998 ◽

Vol 31 (2) ◽

pp. 525A-526A

Author(s):

A Ilercil

Keyword(s):

Glucose Tolerance ◽

Impaired Glucose Tolerance ◽

Structure And Function ◽

Cardiac Structure ◽

Strong Heart Study ◽

Heart Study ◽

Cardiac Structure And Function ◽

And Function

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Faculty Opinions recommendation of Cardiac structure and function in heart failure with preserved ejection fraction: baseline findings from the echocardiographic study of the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718180959.793489610 ◽

2014 ◽

Author(s):

Chim Lang

Keyword(s):

Heart Failure ◽

Ejection Fraction ◽

Cardiac Function ◽

Structure And Function ◽

Cardiac Structure ◽

Preserved Ejection Fraction ◽

Aldosterone Antagonist ◽

Echocardiographic Study ◽

Cardiac Structure And Function ◽

And Function

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Impact of the severity of end-stage liver disease in cardiac structure and function

Annals of Hepatology ◽

10.1016/s1665-2681(19)31389-4 ◽

2013 ◽

Vol 12 (1) ◽

pp. 85-91 ◽

Cited By ~ 18

Author(s):

Odilson Marcos Silvestre ◽

Fernando Bacal ◽

Danusa de Souza Ramos ◽

Jose L. Andrade ◽

Meive Furtado ◽

...

Keyword(s):

Liver Disease ◽

Structure And Function ◽

Cardiac Structure ◽

End Stage Liver Disease ◽

Cardiac Structure And Function ◽

End Stage ◽

And Function

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Development of a semi-automated segmentation tool for high frequency ultrasound image analysis of mouse echocardiograms

Scientific Reports ◽

10.1038/s41598-021-85971-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Kristi Powers ◽

Raymond Chang ◽

Justin Torello ◽

Rhonda Silva ◽

Yannick Cadoret ◽

...

Keyword(s):

Image Analysis ◽

Automated Analysis ◽

Structure And Function ◽

Ultrasound Images ◽

Cardiac Structure ◽

Short Axis ◽

Pixel Intensity ◽

Cardiac Structure And Function ◽

And Function

AbstractEchocardiography is a widely used and clinically translatable imaging modality for the evaluation of cardiac structure and function in preclinical drug discovery and development. Echocardiograms are among the first in vivo diagnostic tools utilized to evaluate the heart due to its relatively low cost, high throughput acquisition, and non-invasive nature; however lengthy manual image analysis, intra- and inter-operator variability, and subjective image analysis presents a challenge for reproducible data generation in preclinical research. To combat the image-processing bottleneck and address both variability and reproducibly challenges, we developed a semi-automated analysis algorithm workflow to analyze long- and short-axis murine left ventricle (LV) ultrasound images. The long-axis B-mode algorithm executes a script protocol that is trained using a reference library of 322 manually segmented LV ultrasound images. The short-axis script was engineered to analyze M-mode ultrasound images in a semi-automated fashion using a pixel intensity evaluation approach, allowing analysts to place two seed-points to triangulate the local maxima of LV wall boundary annotations. Blinded operator evaluation of the semi-automated analysis tool was performed and compared to the current manual segmentation methodology for testing inter- and intra-operator reproducibility at baseline and after a pharmacologic challenge. Comparisons between manual and semi-automatic derivation of LV ejection fraction resulted in a relative difference of 1% for long-axis (B-mode) images and 2.7% for short-axis (M-mode) images. Our semi-automatic workflow approach reduces image analysis time and subjective bias, as well as decreases inter- and intra-operator variability, thereby enhancing throughput and improving data quality for pre-clinical in vivo studies that incorporate cardiac structure and function endpoints.

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The mitral regurgitation effects of cardiac structure and function in left ventricular noncompaction

Scientific Reports ◽

10.1038/s41598-021-84233-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Qing Zou ◽

Rong Xu ◽

Xiao Li ◽

Hua-yan Xu ◽

Zhi-gang Yang ◽

...

Keyword(s):

Mitral Regurgitation ◽

Nyha Class ◽

Left Ventricular ◽

Structure And Function ◽

Left Ventricular Geometry ◽

Cardiac Structure ◽

Left Ventricular Noncompaction ◽

Ventricular Noncompaction ◽

Cardiac Structure And Function ◽

And Function

AbstractThis study evaluated the effects of mitral regurgitation (MR) on cardiac structure and function in left ventricular noncompaction (LVNC) patients. The clinical and cardiovascular magnetic resonance (CMR) data for 182 patients with noncompaction or hypertrabeculation from three institutes were retrospectively included. We analyzed the difference in left ventricular geometry, cardiac function between LVNC patients with and without MR. The results showed that patients with MR had a worse New York Heart Association (NYHA) class and a higher incidence of arrhythmia (P < 0.05). MR occurred in 48.2% of LVNC patients. Compared to LVNC patients without MR, the two-dimensional sphericity index, maximum/minimum end-diastolic ratio and longitudinal shortening in LVNC patients with MR were lower (P < 0.05), and the peak longitudinal strain (PLS) of the global and segmental myocardium were obviously reduced (P < 0.05). No significant difference was found in strain in LVNC patients with different degree of MR; end diastolic volume, end systolic volume, and global PLS were statistically associated with MR and NYHA class (P < 0.05), but the non-compacted to compacted myocardium ratio had no significant correlation with them. In conclusion, the presence of MR is common in LVNC patients. LVNC patients with MR feature more severe morphological and functional changes. Hypertrabeculation is not an important factor affecting structure and function at the heart failure stage.

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