Publikationsserver
Screening for Peripheral Vascular Stiffness in Lipedema Patients by Automatic Electrocardiogram-Based Oscillometric Detection
Body mass index (BMI) is seen as a predictor of cardiovascular disease (CVD) in lipedema patients. A valid predictor of CVD is increased aortic stiffness (IAS), and previous research described IAS in lipedema. However, it is not known if this applies to all patients. In this cross-sectional singl...
Enregistré dans:
| Auteurs principaux: | , , , , , , , |
|---|---|
| Format: | Article |
| Langue: | anglais |
| Publié: |
Philipps-Universität Marburg
2024
|
| Sujets: | |
| Accès en ligne: | Texte intégral en PDF |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Résumé: | Body mass index (BMI) is seen as a predictor of cardiovascular disease (CVD) in lipedema
patients. A valid predictor of CVD is increased aortic stiffness (IAS), and previous research described
IAS in lipedema. However, it is not known if this applies to all patients. In this cross-sectional
single-center cohort study, peripheral pulse wave velocity (PWV) as a non-invasive indicator of aortic
stiffness was measured in 41 patients with lipedema, irrespective of stage and without pre-existing cardiovascular
conditions or a history of smoking and a maximum body mass index (BMI) of 35 kg/m2.
Automatically electrocardiogram-triggered oscillometric sensor technology by the Gesenius–Keller
method was used. Regardless of the stage of lipedema disease, there was no significant difference
in PWV compared to published standard values adjusted to age and blood pressure. BMI alone is
not a predictor of cardiovascular risk in lipedema patients. Measuring other anthropometric factors,
such as the waist–hip ratio or waist–height ratio, should be included, and the existing cardiovascular
risk factors, comorbidities, and adipose tissue distribution for accurate risk stratification should be
taken into account. Automated sensor technology recording the PWV represents a valid and reliable
method for health monitoring and early detection of cardiovascular risks. |
|---|---|
| Description: | Gefördert durch den Open-Access-Publikationsfonds der UB Marburg. |
| DOI: | 10.3390/s24051673 |