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  • Lipedema is a chronic medical condition characterized by a symmetric buildup of adipose tissue (fat) in the legs and arms. A common but under-recognized disorder, Lipedema may cause pain, swelling, easy bruising, and impaired mobility. During the past decade, Lipedema, which occurs almost exclusively in women, has been demonstrated to be a disease that is distinct from obesity, lymphedema, cellulite, and other adipose conditions. The Lipedema Research Roadmap identifies recommendations to strengthen and grow Lipedema research. It presents a forward-looking summary of gaps in knowledge and opportunities for research and development, sourced from “Lipedema: A Current Understanding of Its Pathology and Natural History” (Lipedema Foundation; preprint, forthcoming), as well as input from authors and advisors. Recommendations are organized into six chapters covering key objectives: fostering the research environment, developing reporting standards and best practices, improving diagnosis, broadening understanding of the biology of the disease, identifying potential treatments, and enhancing epidemiology. The Research Roadmap development process incorporated input from more than 60 stakeholders, including researchers, clinicians, and patients. 24 external reviewers provided more than 1,300 comments and recommended edits.

  • Background: An adequate dietary energy supply is particularly important in patients with lipedema as it promotes weight and fat loss. Accurate estimation of resting metabolic rate (RMR) allows implementing a proper calorie restriction diet in patients with lipedema. Therefore, an accurate assessment of energy demand in patients with lipedema is crucial in clinical practice. Our study aimed to compare actual resting metabolic rate (aRMR) with predicted resting metabolic rate (pRMR) in women with lipedema and to determine the association between individual anthropometric measurements and aRMR.Methods: A total of 108 women diagnosed with lipedema were enrolled in the study. aRMR was measured by indirect calorimetry (IC) using FitMate WM metabolic system (Cosmed, Rome, Italy). pRMR was estimated with predictive equations and BIA. All anthropometric measurements were based on BIA (bioelectric impedance analysis).Results: The mean aRMR in the study group was 1705.2 ± 320.7 kcal/day. Most methods of predicted RMR measurement used in our study significantly underpredicted aRMR in patients with lipedema. We reported statistically significant high correlations between all anthropometric measurements and aRMR/pRMR and a moderate correlation between visceral fat level (VFL) and aRMR. Conclusions: aRMR in patients with lipedema calculated with predictive equations was significantly lower than aRMR measured with other methods. This study found the agreement of predictive equations compared to IC is low (<60%). Fat-free mass (FFM) is a stronger determinant of RMR in patients with lipedema than fat mass.

Last update from database: 6/14/24, 7:35 AM (UTC)