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  • BACKGROUND: Patients with lymphedema and lipedema share physical exam findings that may lead to misdiagnosis. Poor mobility is common in patients with obesity and patients with lymphedema and lipedema. This may constitute a risk factor for venous thromboembolism (VTE). Our objective was to evaluate the association of VTE in obese patients with lymphedema and lipedema. METHODS: The National Inpatient Sample (NIS) was searched from 2016 to 2020 to identify hospital admissions of obese female patients with lymphedema and lipedema. Patients were analyzed in the context of presence or absence of VTE while adjusting for complex cluster sampling techniques. Predictors of VTE were accessed by multivariable regression. RESULTS: Lymphedema was identified in 189,985 patients and lipedema in 50,645 patients. VTE was observed in 3.12% (n = 374,210) of patients with obesity. In patients with obesity, VTE was more common in patients with lymphedema than without (2.6% vs 1.6%; p < 0.01). Similarly, VTE was more common in patients with lipedema than without (0.6% vs 0.4%; p < 0.01). After multivariable logistic regression, VTE events in obese patients with lymphedema were higher versus without (OR 1.6; CI 1.08-2.43; p = 0.02). Similarly, VTE events were more common in obese patients with lipedema versus obese patients without lipedema (OR 1.20; CI 1.03-1.41; p = 0.02). CONCLUSIONS: In this hypothesis-generating study, lymphedema and lipedema show a positive association with VTE after adjusting for baseline patient characteristics such as obesity, which is a known independent risk factor for VTE. Mechanisms whereby lymphedema and lipedema are associated with VTE should be investigated.

  • Aims Lipedema is a condition often mistaken for other causes of limb swelling including lymphedema and obesity. Lipedema may have a unique metabolic profile. Interrogation of the metabolome is a strategy that could reveal unique biomarkers to distinguish lipedema from lymphedema and obesity. Methods Unbiased metabolomics was utilized to examine 38 BMI-matched overweight patients compared with patients with lipedema, lymphedema, and lipolymphedema. Machine learning identified biomarkers to distinguish diseases, and further examined in a validation cohort of 198 patients with each disorders. Adjustments were made for baseline clinical and demographic variables. Results Plasma metabolomics firstly revealed uric acid as a biomarker that performs well to distinguish between phenotypically similar diseases in patients with elevated BMI. In a validation cohort of 64 patients with lipedema, uric acid (5.05 mg/dL) was compared with 64 patients with lymphedema (5.4 mg/dl), and 70 overweight patients without these conditions (4.6 mg/dL, p<0.05). Uric acid-to-cystatin c ratio distinguished between all three groups (Lipedema: 5.2; Lymphedema: 6.3; overweight: 4.0, p<0.01); however, significance was lost after adjustment for renal function. Conclusion Metabolomic analysis revealed uric acid may differentiate between lipedema, lymphedema, lipolymphedema and obese individuals without those conditions. In a validation cohort, while uric acid was higher in lipedema and lymphedema, uric acid adjusted by cystatin c clearance revealed uric acid to be a less useful marker to distinguish lipedema from lymphedema in the context of renal insufficiency.

Last update from database: 11/3/25, 8:34 AM (UTC)

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