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Updated: Jul 1, 2025
05:51
Measuring the Carotid to Femoral Pulse Wave Velocity Cf-PWV to Evaluate Arterial Stiffness
Published on: May 3, 2018
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Screening for Peripheral Vascular Stiffness in Lipedema Patients by Automatic Electrocardiogram-Based Oscillometric
Adrian Mahlmann1,2, Yazan Khorzom3, Christian-Alexander Behrendt4,5
1Department of Internal Medicine III, University Hospital Carl Gustav Carus at Technische Universität Dresden, 01307 Dresden, Germany.
Sensors (Basel, Switzerland)
|March 13, 2024
Summary
Body mass index (BMI) does not predict cardiovascular risk in lipedema patients. Increased aortic stiffness was not observed in lipedema patients, suggesting BMI alone is insufficient for risk assessment.
Area of Science:
- Cardiology
- Vascular Biology
- Endocrinology
Background:
- Body mass index (BMI) is a known predictor of cardiovascular disease (CVD).
- Increased aortic stiffness (IAS) is a valid CVD predictor, previously observed in lipedema patients.
- The role of IAS across all lipedema stages requires further investigation.
Purpose of the Study:
- To investigate aortic stiffness in lipedema patients irrespective of disease stage.
- To determine if BMI is a reliable predictor of cardiovascular risk in lipedema.
- To assess the utility of peripheral pulse wave velocity (PWV) for monitoring cardiovascular risk in lipedema.
Main Methods:
- A cross-sectional, single-center cohort study involving 41 lipedema patients.
- Exclusion criteria included pre-existing cardiovascular conditions, smoking history, and BMI > 35 kg/m².
- Peripheral pulse wave velocity (PWV) was measured using automated electrocardiogram-triggered oscillometric sensor technology (Gesenius-Keller method).
Main Results:
- No significant differences in PWV were found compared to age- and blood pressure-adjusted standard values across all lipedema stages.
- Body mass index (BMI) alone was not identified as a predictor of cardiovascular risk in this cohort.
- Automated PWV measurement proved to be a valid and reliable method for cardiovascular risk monitoring.
Conclusions:
- BMI is not a sufficient predictor of cardiovascular risk in lipedema patients.
- Comprehensive risk stratification should incorporate other anthropometric factors (e.g., waist-hip ratio) and existing risk factors.
- Automated PWV measurement is a valuable tool for early detection of cardiovascular risks in lipedema.
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