Multivariate Linear Regression to Predict Association of Non-Invasive Arterial Stiffness with Cardiovascular Events
PWV was found to be associated with CVD and its related risk factors such as diabetes, obesity and hypertension. It may be more effective than other arterial stiffness parameters in predicting CVD in clinical settings.
Authors
- Eisa Nazar (ORCID: https://orcid.org/0000-0002-2860-6034)
- Reza Rezvani (ORCID: https://orcid.org/0000-0003-3585-9854)
- Mostafa Eslamiyeh
- Susan Darroudi (ORCID: https://orcid.org/0000-0002-5377-729X)
- Maryam Alinezhad‐Namaghi (ORCID: https://orcid.org/0000-0001-9425-7496)
- Gordon A. Ferns (ORCID: https://orcid.org/0000-0002-0957-8349)
- Mohsen Moohebati
- Amin Mansoori (ORCID: https://orcid.org/0000-0003-4442-3358)
- Mark Ghamsary (ORCID: https://orcid.org/0000-0002-7867-0405)
- Habibollah Esmaily (ORCID: https://orcid.org/0000-0003-4139-546X)
- Majid Ghayour‐Mobarhan (ORCID: https://orcid.org/0000-0002-1081-6754)
Institutions
- Brighton and Sussex Medical School (GB)
- Mashhad University of Medical Sciences (IR)
- Loma Linda University (US)
- Loma Linda University Health Care (US)
- Ferdowsi University of Mashhad (IR)
- Mazandaran University of Medical Sciences (IR)
Publication Details
- Journal
- ESC Heart Failure
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1002/ehf2.15077
- Citations
- 3
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Mashhad University of Medical Sciences