Background And Objective: Arterial stiffening is an independent predictor for cardiovascular events. Studies using a variety of different techniques have shown that visceral fat accumulation may be related to aortic stiffening. However, there are limited data available about the study using magnetic resonance imaging (MRI). The aim of the present study is to assess the correlation of visceral fat to the degree of aortic stiffness as determined by MRI.
Material And Method: The present study examined 95 subjects (age 69.14 +/- 9. 76 years, female 50.5%, waist circumference 93 +/- 11 cm) who underwent cardiac MRI examination. Using MRI, aortic stiffness was measured as aortic pulse wave velocity (PWV) by distance divided by time delay between mid-ascending and mid-descending aorta. Body fat measures were evaluated as abdominal visceral fat volume (visceral fat), pericardial fat volume (visceral fat) and abdominal subcutaneous fat volume (subcutaneous fat). Pearson correlation analysis was performed to determine the correlation between aortic stiffness and each measure of the body fat.
Results: Mean PWV 11.41 +/- 5.30 m/s, pericardial fat 17.37 +/- 4.60 ml, abdominal visceral fat 470.85 +/- 181.12 ml and abdominal subcutaneous fat 617.57 +/- 214.70 ml. No correlation was found between PWV and each measure of body fat as follows; (1) pericardial fat volume to PWV (r = -0.025, p-value = 0.808), (2) abdominal visceral fat volume to PWV (r = 0.068, p-value = 0.520), (3) abdominal subcutaneous fat volume to PWV (r = -0.001, p-value = 0.992), (4) total abdominal fat volume to PWV (r = 0.038, p-value = 0.719), (5) total visceral fat volume to PWV (r = 0.066, p-value = 0.528). There was also no correlation found between PWV and visceral fat grouped in tertiles.
Conclusion: There was no significant correlation between visceral fat volumes and aortic stiffness.
Download full-text PDF |
Source |
---|
Diabetes Metab Res Rev
January 2025
Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Department of Biostatistics and Epidemiology, Ministry of Education, School of Public Health, China Medical University, Shenyang, China.
Aims: Stroke is a common diabetic complication, by which the Chinese visceral adiposity index (CVAI) is confirmed as a better predictor of visceral fat. However, the relationship between CVAI change and the stroke risk among patients with diabetes and prediabetes remains unclear. Therefore, we aimed to examine the association of CVAI trajectory with the risk of stroke.
View Article and Find Full Text PDFNutr Metab Cardiovasc Dis
November 2024
Growth, Exercise, Nutrition and Development (GENUD) Research Group, Department of Physiatry and Nursing, University of Zaragoza, 50009, Zaragoza, Spain; Pediatric Endocrinology Unit, Lozano Blesa Clinic Hospital, Faculty of Medicine, University of Zaragoza, 50009, Zaragoza, Spain; Aragon Agrofood Institute (IA2), Health Research Institute (IIS Aragón), University of Zaragoza, 50009, Zaragoza, Spain; Obesity and Nutrition Physiopathology Center (CIBERobn), Carlos III Health Institute, 28029, Madrid, Spain. Electronic address:
Background And Aims: To assess the relationship between body composition indicators and inflammatory biomarkers in children and adolescents of the GENOBOX study.
Methods And Results: Anthropometry data from 264 subjects from the subsample of Zaragoza (Spain) included: weight, height, waist circumference, body mass index and triponderal index. Body composition was determined by Dual-energy X-ray Absorptiometry (DXA), obtaining visceral adipose tissue, fat mass index and lean mass index.
Medicine (Baltimore)
November 2024
Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
The aim of this study is to conduct a comprehensive bibliometric analysis of CT-based adipose tissue imaging related to coronary artery disease (CAD) to investigate the dynamic development of this field. Web of Science Core Collection was used as our data source to identify relevant documents limited to articles or review articles and written in English with no time restrictions. Then we analyzed the whole trend of publications and utilized VOSviewer and Bibliometrix to conduct a bibliometric analysis including citations, keywords, countries, institutions, authors as well as co-citation analyses of cited references and sources.
View Article and Find Full Text PDFEur J Surg Oncol
January 2025
Division of Surgical Oncology, Department of Surgery, Northwell Health, New Hyde Park, NY, USA; Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address:
Background: F-FDG PET-CT-based host metabolic (PETMet) profiling of non-tumor tissue is a novel approach to incorporate the patient-specific response to cancer into clinical algorithms.
Materials And Methods: A prospectively maintained institutional database of gastroesophageal cancer patients was queried for pretreatment PET-CTs, demographics, and clinicopathologic variables. F-FDG PET avidity was measured in 9 non-tumor tissue types (liver, spleen, 4 muscles, 3 fat locations).
Curr Cardiol Rep
January 2025
Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Québec, QC, Canada.
PURPOSE OF REVIEW: Narrative review of the author's main contributions to the field of cardiovascular health spanning four decades, with a focus on findings related to 1- the pathophysiology of obesity, insulin resistance, type 2 diabetes and cardiovascular disease, and 2- the management/prevention of these conditions. Particular attention is given to the importance of regular physical activity. RECENT FINDINGS: Because behaviors and their physiological consequences are still not measured in clinical practice, it is proposed to systematically assess and target "lifestyle vital signs" (waist circumference, cardiorespiratory fitness, food-based diet quality and level of leisure-time physical activity) in primary care.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!