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The National Kidney Foundation (NKF) and The Obesity Society (TOS) cosponsored a multispecialty international workshop in April 2021 to advance the understanding and management of obesity in adults with chronic kidney disease (CKD). The underlying rationale for the workshop was the accumulating evidence that obesity is a major contributor to CKD and adverse outcomes in individuals with CKD, and that effective treatment of obesity, including lifestyle intervention, weight loss medications, and metabolic surgery, can have beneficial effects. The attendees included a range of experts in the areas of kidney disease, obesity medicine, endocrinology, diabetes, bariatric/metabolic surgery, endoscopy, transplant surgery, and nutrition, as well as patients with obesity and CKD. The group identified strategies to increase patient and provider engagement in obesity management, outlined a collaborative action plan to engage nephrologists and obesity medicine experts in obesity management, and identified research opportunities to address gaps in knowledge about the interaction between obesity and kidney disease. The workshop's conclusions help lay the groundwork for development of an effective, scientifically based, and multidisciplinary approach to the management of obesity in people with CKD.
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http://dx.doi.org/10.1053/j.ajkd.2022.06.007 | DOI Listing |
Eur J Prev Cardiol
September 2025
Department of Nursing, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
JAMA Pediatr
September 2025
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
JAMA Netw Open
September 2025
Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFEchocardiography
September 2025
Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To explore the relationships between cardiac parameters and body composition indices, identifying predictors of subclinical cardiac systolic dysfunction.
Methods: Using anthropometric and serological parameters, echocardiography, and body composition analysis, this study evaluated metabolic profiles, cardiac remodeling patterns, and body composition characteristics in young adult obese patients, while quantifying the correlations between cardiac parameters and body composition indices. Subclinical left ventricular systolic dysfunction was defined as global longitudinal strain (GLS) < 18%.