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Usefulness of Estimated Pulse Wave Velocity in Prediction of Cardiovascular Mortality in Patients With Acute Myocardial Infarction.
- Source :
-
The American journal of the medical sciences [Am J Med Sci] 2021 Apr; Vol. 361 (4), pp. 479-484. Date of Electronic Publication: 2020 Oct 26. - Publication Year :
- 2021
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Abstract
- Background: Pulse wave velocity (PWV) is an excellent index of arterial stiffness and can be used to predict long-term cardiovascular (CV) outcome. In recent years, estimated PWV (ePWV), calculated by equations using age and mean blood pressure, was also reported to be a significant predictor of CV outcomes. However, there was no literature discussing about usefulness of ePWV in patients of acute myocardial infarction (AMI) for prediction of long-term CV and overall mortality. Therefore, we conducted this study for further evaluation.<br />Methods: A total of 187 patients with AMI admitted to cardiac care unit were enrolled. ePWV were calculated by the equations for each patient.<br />Results: The median follow-up to mortality was 73 months (25th-75th percentile: 8-174 months). There were 35 and 125 patients documented as CV and overall mortality, respectively. Under univariable analysis, ePWV could independently predict long-term CV and overall mortality. However, after multivariable analysis, ePWV could only predict long-term CV mortality in AMI patients.<br />Conclusions: To the best of our knowledge, our study was the first to evaluate the usefulness of ePWV in AMI patients for prediction of long-term CV and overall mortality. Our study showed ePWV was not only easy to calculate by formula, but also an independent predictor for long-term CV mortality in univariable and multivariable analyses. Therefore, ePWV was a simple and useful tool to measure arterial stiffness and to predict CV mortality outcome in AMI patients without the necessity for equipment to measure PWV.<br /> (Copyright © 2020 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1538-2990
- Volume :
- 361
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- The American journal of the medical sciences
- Publication Type :
- Academic Journal
- Accession number :
- 33637306
- Full Text :
- https://doi.org/10.1016/j.amjms.2020.10.023